Location based Energy Efficient Routing Protocol for Improving Network Lifetime in WSN

International Journal of Electrical and Electronics Engineering

© 2023 by SSRG - IJEEE Journal

Volume 10 Issue 2

Year of Publication : 2023

Authors : S. Gopinath, E. Veera Boopathy, S. Pragadeswaran, S. Madhumitha, N. Sureshkumar

10.14445/23488379/IJEEE-V10I2P108

How to Cite?

S. Gopinath, E. Veera Boopathy, S. Pragadeswaran, S. Madhumitha, N. Sureshkumar, "Location based Energy Efficient Routing Protocol for Improving Network Lifetime in WSN," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 2, pp. 84-91, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I2P108

Abstract:

Localization in sensor networks produces a major impact on improving the network lifetime of nodes. Cluster formation and Cluster head election are the key criteria for increasing the energy efficiency of the network. In existing schemes, the focus on cluster and localization with a multi-hop environment is not considered and balanced to attain a stable network. In this research, a Dynamic Energy Efficient Localization model is explored to reduce energy consumption through the geographical position of nodes. In this work, a cluster region is formed with server nodes, and Cluster Head (CH)is elected based on significant parameters, i.e. node energy, the delay between nodes and the distance between nodes. These parameters are maintained at the threshold level to choose a cluster head. Network topology is created with vertices to ease the deployment of the node with the most accuracy. Multiple paths are discovered to route the packets with the selection of reliable path and least route metric. Data transmission begins with efficient route establishment and localization of cluster members with the most accuracy and least localization error. Simulation results are taken and analysed using the network simulator tool, and network performance metrics, i.e. location accuracy, delay, packet delivery ratio, throughput, and packet least percentage, were taken and show the improvement in the proposed model.

Keywords:

Energy model, Cluster routing, Network topology, Multipath discovery, Localization and data transmission.

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