SlideShare a Scribd company logo
International Journal of Modern Electronics and Communication Engineering (IJMECE) ISSN: 2321-2152 (Online)
Volume No.-1, Issue No.-2, May, 2013
RES Publication © 2012 Page | 1
http://www.resindia.org
Performance Evaluation of Different Routing Protocols in
Wireless Sensor Network Using Different Network
Parameters For Large Terrain Area
Sandeep Kumar Trilok Chand Shrimal
Assistant Professor M.tech Student
Jagan Nath University Department of Computer Science and Engineering
Jaipur, Rajasthan, India Jaipur, Rajasthan, India
sandeep.kumar@jagannathuniversity.org er.trilok.shrimal@gmail.com
ABSTRACT- In the recent past, wireless sensor networks have been introduced to use in many applications. To design the networks, the
factors needed to be considered are the coverage area, mobility, power consumption, communication capabilities etc. The challenging goal of
our project is to create a simulator to support the wireless sensor network simulation. The network simulator (NS-2) which supports both wire
and wireless networks is implemented to be used with the wireless sensor network.
The main focus of this paper is to discuss and evaluate the performance of different parameters in different scenarios and large terrain area
2000 m. x 2000 m. in wireless sensor network using Dynamic Source Routing Protocol (DSR), Adhoc On-Demand Distance Vector Routing
Protocol (AODV) for monitoring of critical conditions with the help of parameter (Packet Delivery Fraction (PDF), Normalized Routing Load
(NRL), Average Throughput)
Keywords- Wireless Sensor Network, Packet Delivery Fraction, Normalized Routing Load, Average Throughput, Dynamic Source Routing
Protocol, Adhoc On-Demand Distance Vector Routing Protocol
I. INTRODUCTION
Wireless sensor networks contain large view of sensors
nodes which are implemented with a radio and form wireless
sensors together. The Wireless sensor networks are fast, low
maintenance and easy deployment networks which represents
its characteristics. Power of sensors is a great resource in such
a network which reflects to the design of hardware and
software. The network protocols are designed for the sensor
node communication and focus on the low energy
consumption. The radio is equipped in the Wireless sensor
networks with sensor node, if we want to reduce energy
consumption we should turn off the radio when it does not use
[8].
MANET is self configuring network of mobile nodes which
is connected by wireless links. These nodes are freely move in
the network and communicated to each other and change
frequently while Wireless sensor network is cooperative
network where sensor nodes are collected [3]. Both of these
networks fall into the category of infrastructure less wireless
networks as they do have any requirement regarding
infrastructure during the deployment.
Routing protocols is very important for performance
evaluation perspective in Wireless sensor networks. There are
many factors must be overcome before efficient
communication can be achieved in WSNs. Node deployment is
application dependent and affects the performance of the
routing protocol in WSNs. Sensors can perform their
computations and transmission of information in a wireless
environment by using their limited supply of energy [7]. In
Wireless sensor networks, the node density, network size and
topology is affected by scalability factor. This factor comes out
form the factor that range of sensing is lesser than
communication and requirement of nodes is larger for coverage
of area. There are other major issues which effect to the
wireless sensor networks environment as node/link
heterogeneity, fault tolerance, network dynamics, transmission
media, connectivity, coverage, data aggregation and quality of
services.
II. ROUTING PROTOCOL
The Dynamic source routing protocol is an efficient and
simple routing protocol specifically used for multi-hop wireless
adhoc networks of mobile nodes and wireless sensor networks.
It has no need for any existing network infrastructure or
administration. Dynamic source routing allows the network to
be completely self- organizing and configuring. Dynamic
source routing uses source routing to send packet which means
the complete hop sequence to the destination is well known by
the source [5].
DSR protocol uses two mechanisms for sending packet from
source to destination which are “Route Discovery” and “Route
maintenance” which works together to allow nodes to discover
and maintain routes [4].
International Journal of Modern Electronics and Communication Engineering (IJMECE) ISSN: 2321-2152 (Online)
Volume No.-1, Issue No.-2, May, 2013
RES Publication © 2012 Page | 2
http://www.resindia.org
III. SIMULATION TOOL
NS-2 is an object based tool which encapsulates independent
objects linked to each other within a system hierarchy. NS-2
uses OTCL interpreter and C++ as a front end. It defines the
basic structure of the simulator [15]. Network simulator uses
basic two languages for completion their tasks and needs. First,
the details study of protocols requires a systems programming
language, which helps to manipulate bytes, packet headers, and
implement algorithms that run over large data sets. Second, the
run time speed and turn around time is less important [2].
IV. SIMULATION PARAMETERS
In order to evaluate the performance of wireless network
routing protocols, the following parameters were considered:
(I) Packet Delivery Fraction (PDF): Packet Delivery
Fraction is the ratio of the number of data packets successfully
delivered to the destination nodes and number of data packets
produced by source nodes [10].
(II) Average Throughput: The term throughput refers the
number of packet arriving at the sink per ms. Throughput is
also refers to the amount of data transfer from source mode to
destination in a specified amount of time. The goal is to
calculate maximum throughput of IEEE 802.11 technologies in
the MAC layer for different parameters such as packet size
[12].
(III) Normalized Routing Load [%] (NRL): It is the
number of routing packet required to be send per data packet
delivered.
NRL = (Number of Routing Packet) / (Number of Packet
Received)
V. RESEARCH WORK
There are many research papers on routing protocols in
wireless sensor network and all are used for evaluating
performance of different parameters in different scenario.
Researchers specify the difference between routing protocols
and its performance for different parameters and which one is
best for the case of Wireless Sensor Network.
.
VI. SIMULATION SETUP
In this paper, we tested and investigated DSR and AODV
protocol with a scenario where a total of 100 nodes are used
with the maximum connection number 10; CBR connection;
transfer rate is taken as 4 packets per second i.e. the send rate
of 0.25. The speed is varied starting from 20 m/s, 40 m/s, 60
m/s, 80 m/s, 100 m/s(i.e. in the steps of 20 m/s) implemented in
a 2000 m. x 2000 m. terrain areas keeping the pause time
constant as 10 s. The details of general simulation parameter
are depicted in Table 1.
Simulation Parameter Values
S.No. Parameters Values
1. Transmitter range 250m
2. Bandwidth 2 Mbps
3. Simulation time 100 s
4. Number of nodes 100
5 Max Speed 20,40,60,80,100 m/s
6. Pause time 10 s
7. Environment size 2000 m. x 2000 m.
8. Traffic type Constant Bit Rate
9. Packet rate 4 packets/seconds
10. Packet size 512 bytes data
11. MAC type IEEE 802.11b Large Preamble
12 Antenna type Omni-Antenna
13. Radio
propagation
method
Two Ray Ground
VII. RESULT AND ANALYSIS
The investigations are performed on Parameters such as
Packet Delivery Fraction, Average Throughput, and NRL. The
experimental data are shown in Tables 2, 3, and 4 respectively
and their respective performance being shown in Figure 1, 2, 3
respectively.
(A) When nodes= 100, Constant Pause Time= 10 s,
Maximum Speed= 20-100 m/s (Interval of 20 m/s), Routing
protocol= DSR and AODV, and Finding Metrics= Packet
Delivery Fraction
Table II Evaluating Parameters: Packet Delivery Fraction
Speed →
Topology ↓
20 40 60 80 100
2000 m. x 2000 m.
(DSR)
17.04 20.98 12.72 17.32 7.75
2000 m. x 2000 m.
(AODV)
68.57 97.73 32.88 35.37 23.81
Figure 1 Node Speed versus packet delivery fraction when
Terrain area is 2000 m. x 2000 m.
Using the DSR and AODV routing Protocol with 100 nodes,
pause time 10 s, varying node speed (20-100 m/s by interval of
20 m/s) and 2000 m. x 2000 m. terrain area, this paper examine
International Journal of Modern Electronics and Communication Engineering (IJMECE) ISSN: 2321-2152 (Online)
Volume No.-1, Issue No.-2, May, 2013
RES Publication © 2012 Page | 3
http://www.resindia.org
that Packet Delivery Fraction in 2000 m. x 2000 m. of AODV
is more optimal than 2000 m. x 2000 m. of DSR. So if this
paper implements wireless sensors in large terrain area with
keeping the pause time constant, the Packet Delivery Fraction
is always low in DSR on varying node speed.
(B) When nodes= 100, Constant Pause Time= 10 s, Maximum
Speed= 20-100 m/s (Interval of 20 m/s), Routing protocol=
DSR and AODV, and Finding Metrics= Average Throughput
Table III Evaluating Parameters: Average Throughput
Speed →
Topology ↓
20 40 60 80 100
2000 m. x 2000
m. (DSR)
123.05 167.9 315.3 236.1 427.4
2000 m. x 2000
m. (AODV) 94.3 104.2 158.9 172.85 263.67
Figure 2 Node Speed versus Average Throughput (kbps) when terrain area is
2000 m. x 2000 m.
Using the DSR and AODV routing Protocol with 100 nodes,
pause time 10 s, varying node speed (20-100 m/s by interval of
20 m/s) and 2000 m. x 2000 m. terrain area, this paper examine
that Average Throughput in 2000 m. x 2000 m. of DSR is more
optimal than 2000 m. x 2000 m. of AODV. So if this paper
implements wireless sensors in large terrain area with keeping
the pause time constant, the Average Throughput is always
greater than in DSR on varying node speed.
(C) When nodes= 100, Constant Pause Time= 10 s, Maximum
Speed= 20-100 m/s (Interval of 20 m/s), Routing protocol=
DSR and AODV, and Finding Metrics= Normalized Routing
Load
Table IV Evaluating Parameters: Normalized Routing Load
Node Speed →
Topology ↓
20 40 60 80 100
2000 m. x 2000
m. (DSR)
123.05 167.9 315.3 236.1 427.4
2000 m. x 2000
m. (AODV)
94.3 104.2 158.9 172.85 263.67
Figure 3 Node Speed versus Normalized Routing Load when terrain area is
2000 m. x 2000 m.
Using the DSR and AODV routing Protocol with 100 nodes,
pause time 10 s, varying node speed (20-100 m/s by interval
of 20 m/s) and 2000 m. x 2000 m. terrain area, this paper
examine that Normalized Routing Load in 2000 m. x 2000 m.
of AODV is more optimal than 2000 m. x 2000 m. of DSR on
varying node speed.
VIII. CONCLUSION
The results of our simulations are analyzed and discussed in
different terrain areas having networks of 100 sensor nodes on
varying maximum speed (20-100m/s with interval of 20m/s)
for evaluating performance of different routing protocols DSR,
AODV using Packet Delivery Fraction, Average Throughput,
and NRL in large terrain areas.
Our study provides an optimal result which is fully based on
simulation and analysis. Every case explains evaluation of
parameter with the help of table and generated graph. Each
case represents a special issue for metrics and Terrain areas
which is large (2000 m. x 2000 m).
The overall results says that when we implement sensor
nodes in large terrain areas AODV give better performance in
Packet Delivery Fraction, and NRL rather than DSR and DSR
give better performance in Average Throughput.
IX. ACKNOWLEDGEMENT
The authors are thankful to the Department of computer
science, Jagannath University, jaipur, Rajasthan, India for
providing research facilities and their faculty for being the
constant source of inspiration.
X. REFERENCE
[1] David B. Johnson and David A. Maltz., “Dynamic source
routing in adhoc wireless networks”, Mobile Computing,
Kluwer Academic Publishers 1996, pp.153–181, 1996.
[2] The ns Manual, the VINT Project, Kevin Fall, Kannan
Varadhan, May 9, 2010
[3] V. Rohit, “Application Of Wireless Sensor Networks for
Environmental Monitoring & Development of an Energy
International Journal of Modern Electronics and Communication Engineering (IJMECE) ISSN: 2321-2152 (Online)
Volume No.-1, Issue No.-2, May, 2013
RES Publication © 2012 Page | 4
http://www.resindia.org
Efficient Hierarchical Cluster based Routing,” Department
Of Electrical Engineering, National Institute Of
Technology, Rourkela, 2008-2009.
[4] Gnuplot download and tutorial,
http://gnuplot.sourceforge.net/.
[5] Bikash Rath,”Implementing and comparing DSR and
DSDV Routing Protocols for Mobile Adhoc Networking,
National Institute of Technology Rourkela 2009.
[6] David B. Johnson David A. Maltz Josh Broch,” DSR: The
Dynamic Source Routing Protocol for Multi-Hop Wireless
Adhoc Networks”, Carnegie Mellon University Pittsburgh,
PA 15213-3891 http://www.monarch.cs.cmu.edu/.
[7] W. Heinzelman, J. Kulik, and H. Balakrishnan, "Adaptive
Protocols for Information Dissemination in Wireless
Sensor Networks," Proc. 5th ACM/IEEE Mobicom
Conference (MobiCom '99), Seattle, WA, August, 1999.
pp. 174-85.
[8] J.M. van Dam,” An Adaptive Energy-Efficient MAC
Protocol for Wireless Sensor Networks”, parallel
distributed system, June, 2003.
[9] Imad Aad, Mohammad Hossein Manshaei, and JeanPierre
Hubaux, “ns2 for the impatient”, EPFL Lausanne,
Switzerland, March, 2009
[10] Chris Townsend, Steven Arms MicroStrain,” Wireless
Sensor Networks: Principles and Applications”,
WilsonChapter22.indd 443.
[11] Satya Ranjan Rath,” Study Of Performance Of Routing
Protocols for Mobile Adhoc Networking In Ns-2”
National Institute of Technology Rourkela 2009.
[12] Ian F. Akyildizy Mehmet C. Vurany O¨ zgu¨ r B. Akanz
Weilian Su,” Wireless Sensor Networks: A Survey
Revisited”, Computer Networks Journal (Elsevier
Science),
[13] Siti Rahayu, Abdul Aziz, Nor Adora Endut, Shapina
Abdullahand Mior Norazman Mior Daud” Performance
Evaluation of AODV, DSR and Dymo Routing Protocol in
Manet,”Conferenceonscientific&Socialresearch, Cssr
08’09, 14-15 March 2009
[14] Asar Ali Zeeshan Akbar,” Evaluation of AODV and DSR
Routing Protocols of Wireless Sensor Networks for
Monitoring Applications”, Master’s Degree Thesis,
Karlskrona October 2009
[15] NS2_Srividhya, NS-2 an Overview
AUTHOR’S BIOGRAPHY
.
Sandeep Kumar completed his Bachelor of
Engineering in computer science from Rajasthan Technical
University, Kota in 2005 and M.Tech from ACEIT,
jaipur/RTU kota in 2011. He is pursuing P.hd from Jagannath
University, jaipur.
Trilok Chand Shrimal s/o Mr. J. N. Shrimal was born on 01-
01-1985. He completed his Bachelor
of Engineering in Information
Technology from Rajasthan
Technical University, Kota in 2010.
His area of interests lies in the field
of Network Simulator, Operating
System, Data Mining and
warehouse, Computer Architecture
and Principles of Programming
Languages and many other areas.

More Related Content

PDF
Performance evaluation of different routing protocols in wsn using different ...
PDF
Mobile Relay Configuration in Data-Intensuive Wireless Sensor with Three Rout...
PDF
Performance analysis of aodv with the constraints of
PDF
Ttacca
PDF
Comparative Study for Performance Analysis of Routing Protocols in Mobility a...
PDF
COMPARATIVE STUDY FOR PERFORMANCE ANALYSIS OF ROUTING PROTOCOLS IN MOBILITY A...
PDF
Enhancing the Network Life Using Reliable Energy Efficient Routing in Wireles...
PDF
G010433745
Performance evaluation of different routing protocols in wsn using different ...
Mobile Relay Configuration in Data-Intensuive Wireless Sensor with Three Rout...
Performance analysis of aodv with the constraints of
Ttacca
Comparative Study for Performance Analysis of Routing Protocols in Mobility a...
COMPARATIVE STUDY FOR PERFORMANCE ANALYSIS OF ROUTING PROTOCOLS IN MOBILITY A...
Enhancing the Network Life Using Reliable Energy Efficient Routing in Wireles...
G010433745

What's hot (16)

PPT
Routing protocol on wireless sensor network
PPTX
Data aggregation in wireless sensor networks
PDF
Bandwidth recycling using variable bit rate
PDF
ALL ABOUT DATA AGGREGATION IN WIRELESS SENSOR NETWORKS
PDF
Wireless Sensor Network Using Six Sigma Multi Hop Routing
PDF
Efficient Bandwidth Recycling In Wireless Broadband Networks
PDF
BEE BASED ROUTING PROTOCOL FOR MANET
PDF
Evaluating feasibility of using wireless sensor networks in a coffee crop thr...
PDF
Secure data storage over distributed nodes in network through broadcast techn...
PDF
Comparative Study of Routing Protocols in Wireless Sensor Networks by Abid Af...
PDF
Data-Centric Routing Protocols in Wireless Sensor Network: A survey
PDF
Design and Performance Analysis of Energy Aware Routing Protocol for Delay Se...
PDF
EFFECTIVE AND SECURE DATA COMMUNICATION IN WSNs CONSIDERING TRANSFER MODULE O...
PPTX
A General Self Organized Tree Based Energy Balance Routing Protocol for WSN
PDF
Efficient energy, cost reduction, and QoS based routing protocol for wireless...
PDF
Eh33798804
Routing protocol on wireless sensor network
Data aggregation in wireless sensor networks
Bandwidth recycling using variable bit rate
ALL ABOUT DATA AGGREGATION IN WIRELESS SENSOR NETWORKS
Wireless Sensor Network Using Six Sigma Multi Hop Routing
Efficient Bandwidth Recycling In Wireless Broadband Networks
BEE BASED ROUTING PROTOCOL FOR MANET
Evaluating feasibility of using wireless sensor networks in a coffee crop thr...
Secure data storage over distributed nodes in network through broadcast techn...
Comparative Study of Routing Protocols in Wireless Sensor Networks by Abid Af...
Data-Centric Routing Protocols in Wireless Sensor Network: A survey
Design and Performance Analysis of Energy Aware Routing Protocol for Delay Se...
EFFECTIVE AND SECURE DATA COMMUNICATION IN WSNs CONSIDERING TRANSFER MODULE O...
A General Self Organized Tree Based Energy Balance Routing Protocol for WSN
Efficient energy, cost reduction, and QoS based routing protocol for wireless...
Eh33798804
Ad

Similar to Performance evaluation of diff routing protocols in wsn using difft network parameters for large terrain area (20)

PDF
PERFORMANCE COMPARISON AND ANALYSIS OF PROACTIVE, REACTIVE AND HYBRID ROUTING...
PDF
PERFORMANCE COMPARISON AND ANALYSIS OF PROACTIVE, REACTIVE AND HYBRID ROUTING...
PDF
Performance Comparison and Analysis of Proactive, Reactive and Hybrid Routing...
PDF
PERFORMANCE COMPARISON AND ANALYSIS OF PROACTIVE, REACTIVE AND HYBRID ROUTING...
PDF
Performance Comparison and Analysis of Proactive, Reactive and Hybrid Routing...
PDF
A COMPARATIVE ANALYSIS ON ROUTING PROTOCOLS OF MOBILE AD HOC NETWORK
PDF
A COMPARATIVE ANALYSIS ON ROUTING PROTOCOLS OF MOBILE AD HOC NETWORK
PDF
A comparative analysis on routing
PDF
COMPARATIVE STUDY FOR PERFORMANCE ANALYSIS OF ROUTING PROTOCOLS IN MOBILITY A...
PDF
International Journal of Engineering Research and Development
PDF
2 sima singh-6-13
PDF
Performance analysis of aodv with the constraints of varying terrain area and...
PDF
40120140503011
PDF
Evaluating the performance of manet routing protocols
PDF
Performance study of adhoc routing protocols for cbr traffic
PDF
Data Flow in Wireless Sensor Network Protocol Stack by using Bellman-Ford Rou...
PDF
K017426872
PDF
Mw2522122216
PDF
Na2522282231
PDF
Design and implementation of new routing
PERFORMANCE COMPARISON AND ANALYSIS OF PROACTIVE, REACTIVE AND HYBRID ROUTING...
PERFORMANCE COMPARISON AND ANALYSIS OF PROACTIVE, REACTIVE AND HYBRID ROUTING...
Performance Comparison and Analysis of Proactive, Reactive and Hybrid Routing...
PERFORMANCE COMPARISON AND ANALYSIS OF PROACTIVE, REACTIVE AND HYBRID ROUTING...
Performance Comparison and Analysis of Proactive, Reactive and Hybrid Routing...
A COMPARATIVE ANALYSIS ON ROUTING PROTOCOLS OF MOBILE AD HOC NETWORK
A COMPARATIVE ANALYSIS ON ROUTING PROTOCOLS OF MOBILE AD HOC NETWORK
A comparative analysis on routing
COMPARATIVE STUDY FOR PERFORMANCE ANALYSIS OF ROUTING PROTOCOLS IN MOBILITY A...
International Journal of Engineering Research and Development
2 sima singh-6-13
Performance analysis of aodv with the constraints of varying terrain area and...
40120140503011
Evaluating the performance of manet routing protocols
Performance study of adhoc routing protocols for cbr traffic
Data Flow in Wireless Sensor Network Protocol Stack by using Bellman-Ford Rou...
K017426872
Mw2522122216
Na2522282231
Design and implementation of new routing
Ad

More from Dr Sandeep Kumar Poonia (20)

PDF
Soft computing
PDF
An improved memetic search in artificial bee colony algorithm
PDF
Modified position update in spider monkey optimization algorithm
PDF
Enhanced local search in artificial bee colony algorithm
PDF
Memetic search in differential evolution algorithm
PDF
Improved onlooker bee phase in artificial bee colony algorithm
PDF
Comparative study of_hybrids_of_artificial_bee_colony_algorithm
PDF
A novel hybrid crossover based abc algorithm
PDF
Multiplication of two 3 d sparse matrices using 1d arrays and linked lists
PDF
Sunzip user tool for data reduction using huffman algorithm
PDF
New Local Search Strategy in Artificial Bee Colony Algorithm
PDF
A new approach of program slicing
PDF
Enhanced abc algo for tsp
PDF
Database aggregation using metadata
PDF
PDF
Lecture27 linear programming
Soft computing
An improved memetic search in artificial bee colony algorithm
Modified position update in spider monkey optimization algorithm
Enhanced local search in artificial bee colony algorithm
Memetic search in differential evolution algorithm
Improved onlooker bee phase in artificial bee colony algorithm
Comparative study of_hybrids_of_artificial_bee_colony_algorithm
A novel hybrid crossover based abc algorithm
Multiplication of two 3 d sparse matrices using 1d arrays and linked lists
Sunzip user tool for data reduction using huffman algorithm
New Local Search Strategy in Artificial Bee Colony Algorithm
A new approach of program slicing
Enhanced abc algo for tsp
Database aggregation using metadata
Lecture27 linear programming

Recently uploaded (20)

PDF
Anesthesia in Laparoscopic Surgery in India
PDF
102 student loan defaulters named and shamed – Is someone you know on the list?
PDF
grade 11-chemistry_fetena_net_5883.pdf teacher guide for all student
PDF
A GUIDE TO GENETICS FOR UNDERGRADUATE MEDICAL STUDENTS
PPTX
Lesson notes of climatology university.
PDF
ANTIBIOTICS.pptx.pdf………………… xxxxxxxxxxxxx
PDF
2.FourierTransform-ShortQuestionswithAnswers.pdf
PDF
Supply Chain Operations Speaking Notes -ICLT Program
PDF
Module 4: Burden of Disease Tutorial Slides S2 2025
PPTX
Final Presentation General Medicine 03-08-2024.pptx
PPTX
202450812 BayCHI UCSC-SV 20250812 v17.pptx
PDF
The Lost Whites of Pakistan by Jahanzaib Mughal.pdf
PDF
Abdominal Access Techniques with Prof. Dr. R K Mishra
PPTX
Presentation on HIE in infants and its manifestations
PPTX
Cell Types and Its function , kingdom of life
PPTX
IMMUNITY IMMUNITY refers to protection against infection, and the immune syst...
PDF
01-Introduction-to-Information-Management.pdf
PDF
OBE - B.A.(HON'S) IN INTERIOR ARCHITECTURE -Ar.MOHIUDDIN.pdf
PDF
STATICS OF THE RIGID BODIES Hibbelers.pdf
PDF
FourierSeries-QuestionsWithAnswers(Part-A).pdf
Anesthesia in Laparoscopic Surgery in India
102 student loan defaulters named and shamed – Is someone you know on the list?
grade 11-chemistry_fetena_net_5883.pdf teacher guide for all student
A GUIDE TO GENETICS FOR UNDERGRADUATE MEDICAL STUDENTS
Lesson notes of climatology university.
ANTIBIOTICS.pptx.pdf………………… xxxxxxxxxxxxx
2.FourierTransform-ShortQuestionswithAnswers.pdf
Supply Chain Operations Speaking Notes -ICLT Program
Module 4: Burden of Disease Tutorial Slides S2 2025
Final Presentation General Medicine 03-08-2024.pptx
202450812 BayCHI UCSC-SV 20250812 v17.pptx
The Lost Whites of Pakistan by Jahanzaib Mughal.pdf
Abdominal Access Techniques with Prof. Dr. R K Mishra
Presentation on HIE in infants and its manifestations
Cell Types and Its function , kingdom of life
IMMUNITY IMMUNITY refers to protection against infection, and the immune syst...
01-Introduction-to-Information-Management.pdf
OBE - B.A.(HON'S) IN INTERIOR ARCHITECTURE -Ar.MOHIUDDIN.pdf
STATICS OF THE RIGID BODIES Hibbelers.pdf
FourierSeries-QuestionsWithAnswers(Part-A).pdf

Performance evaluation of diff routing protocols in wsn using difft network parameters for large terrain area

  • 1. International Journal of Modern Electronics and Communication Engineering (IJMECE) ISSN: 2321-2152 (Online) Volume No.-1, Issue No.-2, May, 2013 RES Publication © 2012 Page | 1 http://www.resindia.org Performance Evaluation of Different Routing Protocols in Wireless Sensor Network Using Different Network Parameters For Large Terrain Area Sandeep Kumar Trilok Chand Shrimal Assistant Professor M.tech Student Jagan Nath University Department of Computer Science and Engineering Jaipur, Rajasthan, India Jaipur, Rajasthan, India [email protected] [email protected] ABSTRACT- In the recent past, wireless sensor networks have been introduced to use in many applications. To design the networks, the factors needed to be considered are the coverage area, mobility, power consumption, communication capabilities etc. The challenging goal of our project is to create a simulator to support the wireless sensor network simulation. The network simulator (NS-2) which supports both wire and wireless networks is implemented to be used with the wireless sensor network. The main focus of this paper is to discuss and evaluate the performance of different parameters in different scenarios and large terrain area 2000 m. x 2000 m. in wireless sensor network using Dynamic Source Routing Protocol (DSR), Adhoc On-Demand Distance Vector Routing Protocol (AODV) for monitoring of critical conditions with the help of parameter (Packet Delivery Fraction (PDF), Normalized Routing Load (NRL), Average Throughput) Keywords- Wireless Sensor Network, Packet Delivery Fraction, Normalized Routing Load, Average Throughput, Dynamic Source Routing Protocol, Adhoc On-Demand Distance Vector Routing Protocol I. INTRODUCTION Wireless sensor networks contain large view of sensors nodes which are implemented with a radio and form wireless sensors together. The Wireless sensor networks are fast, low maintenance and easy deployment networks which represents its characteristics. Power of sensors is a great resource in such a network which reflects to the design of hardware and software. The network protocols are designed for the sensor node communication and focus on the low energy consumption. The radio is equipped in the Wireless sensor networks with sensor node, if we want to reduce energy consumption we should turn off the radio when it does not use [8]. MANET is self configuring network of mobile nodes which is connected by wireless links. These nodes are freely move in the network and communicated to each other and change frequently while Wireless sensor network is cooperative network where sensor nodes are collected [3]. Both of these networks fall into the category of infrastructure less wireless networks as they do have any requirement regarding infrastructure during the deployment. Routing protocols is very important for performance evaluation perspective in Wireless sensor networks. There are many factors must be overcome before efficient communication can be achieved in WSNs. Node deployment is application dependent and affects the performance of the routing protocol in WSNs. Sensors can perform their computations and transmission of information in a wireless environment by using their limited supply of energy [7]. In Wireless sensor networks, the node density, network size and topology is affected by scalability factor. This factor comes out form the factor that range of sensing is lesser than communication and requirement of nodes is larger for coverage of area. There are other major issues which effect to the wireless sensor networks environment as node/link heterogeneity, fault tolerance, network dynamics, transmission media, connectivity, coverage, data aggregation and quality of services. II. ROUTING PROTOCOL The Dynamic source routing protocol is an efficient and simple routing protocol specifically used for multi-hop wireless adhoc networks of mobile nodes and wireless sensor networks. It has no need for any existing network infrastructure or administration. Dynamic source routing allows the network to be completely self- organizing and configuring. Dynamic source routing uses source routing to send packet which means the complete hop sequence to the destination is well known by the source [5]. DSR protocol uses two mechanisms for sending packet from source to destination which are “Route Discovery” and “Route maintenance” which works together to allow nodes to discover and maintain routes [4].
  • 2. International Journal of Modern Electronics and Communication Engineering (IJMECE) ISSN: 2321-2152 (Online) Volume No.-1, Issue No.-2, May, 2013 RES Publication © 2012 Page | 2 http://www.resindia.org III. SIMULATION TOOL NS-2 is an object based tool which encapsulates independent objects linked to each other within a system hierarchy. NS-2 uses OTCL interpreter and C++ as a front end. It defines the basic structure of the simulator [15]. Network simulator uses basic two languages for completion their tasks and needs. First, the details study of protocols requires a systems programming language, which helps to manipulate bytes, packet headers, and implement algorithms that run over large data sets. Second, the run time speed and turn around time is less important [2]. IV. SIMULATION PARAMETERS In order to evaluate the performance of wireless network routing protocols, the following parameters were considered: (I) Packet Delivery Fraction (PDF): Packet Delivery Fraction is the ratio of the number of data packets successfully delivered to the destination nodes and number of data packets produced by source nodes [10]. (II) Average Throughput: The term throughput refers the number of packet arriving at the sink per ms. Throughput is also refers to the amount of data transfer from source mode to destination in a specified amount of time. The goal is to calculate maximum throughput of IEEE 802.11 technologies in the MAC layer for different parameters such as packet size [12]. (III) Normalized Routing Load [%] (NRL): It is the number of routing packet required to be send per data packet delivered. NRL = (Number of Routing Packet) / (Number of Packet Received) V. RESEARCH WORK There are many research papers on routing protocols in wireless sensor network and all are used for evaluating performance of different parameters in different scenario. Researchers specify the difference between routing protocols and its performance for different parameters and which one is best for the case of Wireless Sensor Network. . VI. SIMULATION SETUP In this paper, we tested and investigated DSR and AODV protocol with a scenario where a total of 100 nodes are used with the maximum connection number 10; CBR connection; transfer rate is taken as 4 packets per second i.e. the send rate of 0.25. The speed is varied starting from 20 m/s, 40 m/s, 60 m/s, 80 m/s, 100 m/s(i.e. in the steps of 20 m/s) implemented in a 2000 m. x 2000 m. terrain areas keeping the pause time constant as 10 s. The details of general simulation parameter are depicted in Table 1. Simulation Parameter Values S.No. Parameters Values 1. Transmitter range 250m 2. Bandwidth 2 Mbps 3. Simulation time 100 s 4. Number of nodes 100 5 Max Speed 20,40,60,80,100 m/s 6. Pause time 10 s 7. Environment size 2000 m. x 2000 m. 8. Traffic type Constant Bit Rate 9. Packet rate 4 packets/seconds 10. Packet size 512 bytes data 11. MAC type IEEE 802.11b Large Preamble 12 Antenna type Omni-Antenna 13. Radio propagation method Two Ray Ground VII. RESULT AND ANALYSIS The investigations are performed on Parameters such as Packet Delivery Fraction, Average Throughput, and NRL. The experimental data are shown in Tables 2, 3, and 4 respectively and their respective performance being shown in Figure 1, 2, 3 respectively. (A) When nodes= 100, Constant Pause Time= 10 s, Maximum Speed= 20-100 m/s (Interval of 20 m/s), Routing protocol= DSR and AODV, and Finding Metrics= Packet Delivery Fraction Table II Evaluating Parameters: Packet Delivery Fraction Speed → Topology ↓ 20 40 60 80 100 2000 m. x 2000 m. (DSR) 17.04 20.98 12.72 17.32 7.75 2000 m. x 2000 m. (AODV) 68.57 97.73 32.88 35.37 23.81 Figure 1 Node Speed versus packet delivery fraction when Terrain area is 2000 m. x 2000 m. Using the DSR and AODV routing Protocol with 100 nodes, pause time 10 s, varying node speed (20-100 m/s by interval of 20 m/s) and 2000 m. x 2000 m. terrain area, this paper examine
  • 3. International Journal of Modern Electronics and Communication Engineering (IJMECE) ISSN: 2321-2152 (Online) Volume No.-1, Issue No.-2, May, 2013 RES Publication © 2012 Page | 3 http://www.resindia.org that Packet Delivery Fraction in 2000 m. x 2000 m. of AODV is more optimal than 2000 m. x 2000 m. of DSR. So if this paper implements wireless sensors in large terrain area with keeping the pause time constant, the Packet Delivery Fraction is always low in DSR on varying node speed. (B) When nodes= 100, Constant Pause Time= 10 s, Maximum Speed= 20-100 m/s (Interval of 20 m/s), Routing protocol= DSR and AODV, and Finding Metrics= Average Throughput Table III Evaluating Parameters: Average Throughput Speed → Topology ↓ 20 40 60 80 100 2000 m. x 2000 m. (DSR) 123.05 167.9 315.3 236.1 427.4 2000 m. x 2000 m. (AODV) 94.3 104.2 158.9 172.85 263.67 Figure 2 Node Speed versus Average Throughput (kbps) when terrain area is 2000 m. x 2000 m. Using the DSR and AODV routing Protocol with 100 nodes, pause time 10 s, varying node speed (20-100 m/s by interval of 20 m/s) and 2000 m. x 2000 m. terrain area, this paper examine that Average Throughput in 2000 m. x 2000 m. of DSR is more optimal than 2000 m. x 2000 m. of AODV. So if this paper implements wireless sensors in large terrain area with keeping the pause time constant, the Average Throughput is always greater than in DSR on varying node speed. (C) When nodes= 100, Constant Pause Time= 10 s, Maximum Speed= 20-100 m/s (Interval of 20 m/s), Routing protocol= DSR and AODV, and Finding Metrics= Normalized Routing Load Table IV Evaluating Parameters: Normalized Routing Load Node Speed → Topology ↓ 20 40 60 80 100 2000 m. x 2000 m. (DSR) 123.05 167.9 315.3 236.1 427.4 2000 m. x 2000 m. (AODV) 94.3 104.2 158.9 172.85 263.67 Figure 3 Node Speed versus Normalized Routing Load when terrain area is 2000 m. x 2000 m. Using the DSR and AODV routing Protocol with 100 nodes, pause time 10 s, varying node speed (20-100 m/s by interval of 20 m/s) and 2000 m. x 2000 m. terrain area, this paper examine that Normalized Routing Load in 2000 m. x 2000 m. of AODV is more optimal than 2000 m. x 2000 m. of DSR on varying node speed. VIII. CONCLUSION The results of our simulations are analyzed and discussed in different terrain areas having networks of 100 sensor nodes on varying maximum speed (20-100m/s with interval of 20m/s) for evaluating performance of different routing protocols DSR, AODV using Packet Delivery Fraction, Average Throughput, and NRL in large terrain areas. Our study provides an optimal result which is fully based on simulation and analysis. Every case explains evaluation of parameter with the help of table and generated graph. Each case represents a special issue for metrics and Terrain areas which is large (2000 m. x 2000 m). The overall results says that when we implement sensor nodes in large terrain areas AODV give better performance in Packet Delivery Fraction, and NRL rather than DSR and DSR give better performance in Average Throughput. IX. ACKNOWLEDGEMENT The authors are thankful to the Department of computer science, Jagannath University, jaipur, Rajasthan, India for providing research facilities and their faculty for being the constant source of inspiration. X. REFERENCE [1] David B. Johnson and David A. Maltz., “Dynamic source routing in adhoc wireless networks”, Mobile Computing, Kluwer Academic Publishers 1996, pp.153–181, 1996. [2] The ns Manual, the VINT Project, Kevin Fall, Kannan Varadhan, May 9, 2010 [3] V. Rohit, “Application Of Wireless Sensor Networks for Environmental Monitoring & Development of an Energy
  • 4. International Journal of Modern Electronics and Communication Engineering (IJMECE) ISSN: 2321-2152 (Online) Volume No.-1, Issue No.-2, May, 2013 RES Publication © 2012 Page | 4 http://www.resindia.org Efficient Hierarchical Cluster based Routing,” Department Of Electrical Engineering, National Institute Of Technology, Rourkela, 2008-2009. [4] Gnuplot download and tutorial, http://gnuplot.sourceforge.net/. [5] Bikash Rath,”Implementing and comparing DSR and DSDV Routing Protocols for Mobile Adhoc Networking, National Institute of Technology Rourkela 2009. [6] David B. Johnson David A. Maltz Josh Broch,” DSR: The Dynamic Source Routing Protocol for Multi-Hop Wireless Adhoc Networks”, Carnegie Mellon University Pittsburgh, PA 15213-3891 http://www.monarch.cs.cmu.edu/. [7] W. Heinzelman, J. Kulik, and H. Balakrishnan, "Adaptive Protocols for Information Dissemination in Wireless Sensor Networks," Proc. 5th ACM/IEEE Mobicom Conference (MobiCom '99), Seattle, WA, August, 1999. pp. 174-85. [8] J.M. van Dam,” An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks”, parallel distributed system, June, 2003. [9] Imad Aad, Mohammad Hossein Manshaei, and JeanPierre Hubaux, “ns2 for the impatient”, EPFL Lausanne, Switzerland, March, 2009 [10] Chris Townsend, Steven Arms MicroStrain,” Wireless Sensor Networks: Principles and Applications”, WilsonChapter22.indd 443. [11] Satya Ranjan Rath,” Study Of Performance Of Routing Protocols for Mobile Adhoc Networking In Ns-2” National Institute of Technology Rourkela 2009. [12] Ian F. Akyildizy Mehmet C. Vurany O¨ zgu¨ r B. Akanz Weilian Su,” Wireless Sensor Networks: A Survey Revisited”, Computer Networks Journal (Elsevier Science), [13] Siti Rahayu, Abdul Aziz, Nor Adora Endut, Shapina Abdullahand Mior Norazman Mior Daud” Performance Evaluation of AODV, DSR and Dymo Routing Protocol in Manet,”Conferenceonscientific&Socialresearch, Cssr 08’09, 14-15 March 2009 [14] Asar Ali Zeeshan Akbar,” Evaluation of AODV and DSR Routing Protocols of Wireless Sensor Networks for Monitoring Applications”, Master’s Degree Thesis, Karlskrona October 2009 [15] NS2_Srividhya, NS-2 an Overview AUTHOR’S BIOGRAPHY . Sandeep Kumar completed his Bachelor of Engineering in computer science from Rajasthan Technical University, Kota in 2005 and M.Tech from ACEIT, jaipur/RTU kota in 2011. He is pursuing P.hd from Jagannath University, jaipur. Trilok Chand Shrimal s/o Mr. J. N. Shrimal was born on 01- 01-1985. He completed his Bachelor of Engineering in Information Technology from Rajasthan Technical University, Kota in 2010. His area of interests lies in the field of Network Simulator, Operating System, Data Mining and warehouse, Computer Architecture and Principles of Programming Languages and many other areas.