Opportunistic routing algorithm for relay node selection in wireless sensor networks
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The document presents an opportunistic routing algorithm for relay node selection in wireless sensor networks, aimed at minimizing energy consumption and maximizing network lifetime. The proposed Energy Saving via Opportunistic Routing (ENS_OR) algorithm is designed to optimize energy efficiency based on the distance to the sink and residual energy of sensor nodes. Simulations and real test results indicate that ENS_OR significantly enhances network performance in energy savings and connectivity compared to existing routing schemes.
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Opportunistic routing algorithm for relay node selection in wireless sensor networks
- 1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Opportunistic Routing Algorithm for Relay Node Selection in Wireless Sensor Networks Abstract Energy savings optimization becomes one of the major concerns in the wireless sensor network (WSN) routing protocol design, due to the fact that most sensor nodes are equipped with the limited non rechargeable battery power. In this paper, we focus on minimizing energy consumption and maximizing network lifetime for data relay in one-dimensional (1-D) queue network. Following the principle of opportunistic routing theory, multi hop relay decision to optimize the network energy efficiency is made based on the differences among sensor nodes, in terms of both their distance to sink and the residual energy of each other. Specifically, an Energy Saving via Opportunistic Routing (ENS_OR) algorithm is designed to ensure minimum power cost during data relay and protect the nodes with relatively low residual energy. Extensive simulations and real test bed results show that the proposed solution ENS_OR can significantly improve the network performance on energy saving and wireless connectivity in comparison with other existing WSN routing schemes.
- 2. SYSTEM SPECIFICATION Software Specification Operating system : Linux (Ubuntu) Software : Network Simulator 2.35 Programming languages : Tool Command Language, AWK, C++ Hardware Specification Main processor : Dual Core Hard disk capacity : 80GB Cache memory : 2 GB PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (NearMaruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: [email protected]