Energy-Efficient Node Localization Algorithm Based on Gauss-Newton Method and Grey Wolf Optimization Algorithm: Node Localization Algorithm

Amanpreet Kaur, Govind P. Gupta and Sangeeta Mittal
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Amanpreet Kaur: Jaypee Institute of Information Technology, India
Govind P. Gupta: National Institute of Technology, Raipur, India
Sangeeta Mittal: Jaypee Institute of Information Technology, India

International Journal of Fuzzy System Applications (IJFSA), 2022, vol. 11, issue 2, 1-27

Abstract: Node localization process is a crucial prerequisite in the area of Wireless Sensor Networks (WSNs). The algorithms for node localization process can either range-based or range-free. Range-free algorithms are preferred over range-based ones due to their cost-effectiveness. DV-Hop along with its variants is normally well-liked range-free algorithm because of its straightforwardness, scalability and distributed nature, but it has some disadvantages such as poor accuracy and high-power utilization. To deal with these limitations, this paper introduces an algorithm, called GWOGN-LA. GWOGN-LA improves accuracy by applying Grey-Wolf Optimization and Gauss-Newton method. The proposed algorithm restricts the forwarding of packets in order to limit energy consumption. Simulation results show that given proposal outperforms other state-of-art algorithms in terms of accuracy and power consumption.

Date: 2022
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