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

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 vari...

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Bibliographic Details
Published inInternational journal of fuzzy system applications Vol. 11; no. 2; pp. 1 - 27
Main Authors Kaur, Amanpreet, Mittal, Sangeeta, Gupta, Govind P
Format Journal Article
LanguageEnglish
Published IGI Global 29.04.2022
Subjects
Algorithms
Analysis
Energy use
Mathematical optimization
Methods
Sensors
Wireless sensor networks
India
Online AccessGet full text
ISSN2156-177X
2156-1761
DOI10.4018/IJFSA.296591

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Summary: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.
ISSN:2156-177X
2156-1761
DOI:10.4018/IJFSA.296591