Multi-Objective Optimization for Coverage and Connectivity in Wireless Sensor Networks

Rahul Priyadarshi, Raj Vikram, Ze Kun Huang, Tiansheng Yang, Rajkumar Singh Rathore

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As wireless sensor networks (WSNs) make real-time data collecting and analysis possible, they are essential to many applications. WSNs must strike a balance between connection and coverage goals in order to operate at peak efficiency. In this work, we provide a multi-objective optimization strategy specifically designed for WSN deployment: MOO-BWSND. We show via extensive testing that, as compared to single-objective optimization techniques, MOO-BWSND is successful in enhancing coverage, connection, throughput, latency, and reliability all at once. Our research emphasizes how crucial it is to take connection and coverage into account when designing WSNs in order to improve network performance in a variety of deployment scenarios.

Original languageEnglish
Title of host publication2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9798350385427
DOIs
Publication statusPublished - 6 Aug 2024
Event13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Sofia, Bulgaria
Duration: 26 Jun 202428 Jun 2024

Publication series

Name2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings

Conference

Conference13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024
Country/TerritoryBulgaria
CitySofia
Period26/06/2428/06/24

Keywords

  • Connectivity
  • Coverage
  • Latency
  • Multi-Objective Optimization
  • Reliability
  • Throughput
  • Wireless Sensor Networks

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