Grey Wolf Optimizer with Multiple Objectives for Wireless Network Base Station Location for Optimal Coverage

Authors

  • Sourabh Chandra Department of CSE-AIML, Netaji Subhash Engineering , Kolkata-700152, India
  • Smita Paira CST Department, BPC Institute of Technology, Krishnanagar-741101,India

DOI:

https://doi.org/10.26438/ijsrnsc.v13i3.281

Keywords:

Grey Wolf optimizer, Base stations, mobile computing, coverage, potential positions, call failure rate

Abstract

This study proposes a Grey Wolf Optimizer (GWO)-based framework for optimal base station (BTS) placement in wireless networks, minimizing infrastructure costs while maximizing coverage and Quality of Service (QoS). A multi-objective function simultaneously addresses: (1) minimal BTS deployment, (2) population coverage maximization, and (3) call failure reduction via reserved channel allocation. We introduce a novel binary-array solution encoding scheme and a weighted fitness function for GWO. Simulations across randomized and grid-based scenarios demonstrate superior performance over Genetic Algorithms (GA) and Particle Swarm Optimization (PSO), reducing BTS nodes by 25–30% and call failures by 50–60%. The framework offers a scalable solution for 5G/6G network planning.

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Published

2025-06-30

How to Cite

[1]
S. Chandra and S. Paira, “Grey Wolf Optimizer with Multiple Objectives for Wireless Network Base Station Location for Optimal Coverage ”, Int. J. Sci. Res. Net. Sec. Comm., vol. 13, no. 3, pp. 1–10, Jun. 2025.

Issue

Vol. 13 No. 3 (2025): June Edition

Section

Research Article

Categories

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Copyright (c) 2025 Sourabh Chandra, SMITA PAIRA

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