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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES)
Arunachalam, Sripriya
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Economics, Econometrics & Finance

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Modeling of chimp optimization algorithm node localization scheme in wireless sensor networks Arunachalam, Sripriya; Vijaya Kumar, Ashok Kumar; Reddy, Desidi Narsimha; Pathipati, Harikrishna; Priyadarsini, Nethala Indira; Babu Ramisetti, Lova Naga
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v14.i1.pp221-230

Abstract

For smart environments in the digital age, wireless sensor networks (WSNs) are needed. Node localization (NL) in WSNs is complicated for recent researchers. WSN localization focuses on finding sensor nodes (SNs) in two dimensions. WSN NL provides decision-making information in packets sent to base stations. This article describes modeling of chimp optimization algorithm node localization system in wireless sensor networks (MCOANL-WSN). The MCOANL-WSN approach uses metaheuristic optimization to locate unknown network nodes. To simulate chimpanzees' cooperative hunting behavior, the MCOANL-WSN approach includes chimp optimization algorithm (COA) into the NL process. The system uses mathematical modeling to represent node collaboration to improve placements. COA-based localization is being proposed for dynamically responding to resource-constrained and dynamic WSNs. Wide-ranging simulations may assess the MCOANL-WSN system's scalability, energy efficiency, and localization accuracy. The findings demonstrate the superiority of the new modeling method over current NL schemes in improving WSN reliability and efficiency in various applications.
Co-Authors Babu Ramisetti, Lova Naga Pathipati, Harikrishna Priyadarsini, Nethala Indira Reddy, Desidi Narsimha Vijaya Kumar, Ashok Kumar