Particle Swarm Optimization for Efficient Placement of Relay Nodes in Cluster-Based Wireless Sensor Networks
- DOI
- 10.2991/978-94-6463-529-4_31How to use a DOI?
- Keywords
- WSN; Coverage; Connectivity; Multiple Objective; PSO
- Abstract
Sensor nodes (SN) have limited capabilities of coverage and connectivity. Relay nodes ensure backbone connectivity between SNs and base station (BS). Proper placement of relay nodes (RNs) has a major role in ensuring maximum coverage and connectivity in cluster-based wireless sensor networks (WSNs). The key issues that should be taken care of during RN placement are the minimum use of costly RNs, maximum coverage of the SNs, and maximum connectivity between the RNs and the BS. In this paper, particle swarm optimization (PSO) based RN placement is proposed for cluster-based WSNs. The proposed PSO technique considers multiple objectives such as the selection of minimum RNs, maximum coverage of SNs by the placed RNs, and maximum connectivity between RNs and BS. The simulation results show that the proposed PSO can achieve better placement of RNs and at the same time maintain the coverage and connectivity of the networks.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Suman Som AU - Marlom Bey AU - Pratyay Kuila PY - 2024 DA - 2024/10/04 TI - Particle Swarm Optimization for Efficient Placement of Relay Nodes in Cluster-Based Wireless Sensor Networks BT - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023) PB - Atlantis Press SP - 341 EP - 350 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-529-4_31 DO - 10.2991/978-94-6463-529-4_31 ID - Som2024 ER -