A Novel Polytope Algorithm based on Nelder-mead method for localization in wireless sensor network

Gumaida, Bassam and Abubakar, Adamu (2024) A Novel Polytope Algorithm based on Nelder-mead method for localization in wireless sensor network. International Journal of Sensors, Wireless Communications and Control, 14 (1). pp. 21-35. ISSN 2210-3279 E-ISSN 2210-3287

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Abstract

Background and Objectives: Magnificent localization precision and low operating expenses are the main keys and essential issues to managing and operating outdoor wireless sensor networks. This work proposes a novel and rigorous efficiency localization algorithm utilizing a simplex optimization approach for node localization. This novel optimization method is a direct search approach and is usually directed to solve nonlinear optimization problems that may not have well-known derivatives, and it is called the Nelder-mead Method (NMM). Methods: It is suggested that the objective function that will be optimized using NMM is the mean squared error of the range of all neighboring anchor nodes installed in the studied WSNs. This paper emphasizes employing a ranging technique called Received Signal Strength Indicator (shortly RSSI) to calculate the length of distances among all the nodes of WSNs. Results: Simulation results perfectly showed that the suggested localization algorithm based on NMM can carry out a better performance than that of other localization algorithms utilizing other op- timization approaches, including a particle swarm optimization, ant colony (ACO) and bat algorithm (BA). This obviously appeared in several metrics of performance evaluation, such as accuracy of localization, node localization rate, and implementation time. Conclusion: The proposed algorithm that utilized NMM is more functional to enhance the precision of localization because of particular characteristics that are the flexible implementation of NMM and the free cost of using the RSSI technique.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Wireless sensor networks, ranging model, RSSI, optimization techniques, nelder mead method, localization
Subjects:	Q Science > Q Science (General) > Q300 Cybernetics > Q350 Information theory
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr Adamu Abubakar
Date Deposited:	10 Jul 2024 16:56
Last Modified:	10 Jul 2024 16:56
URI:	http://irep.iium.edu.my/id/eprint/113096

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