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

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

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Crynodeb

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.

Iaith wreiddiolSaesneg
Teitl2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings
CyhoeddwrInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronig)9798350385427
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 6 Awst 2024
Digwyddiad13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Sofia, Bwlgaria
Hyd: 26 Meh 202428 Meh 2024

Cyfres gyhoeddiadau

Enw2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings

Cynhadledd

Cynhadledd13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024
Gwlad/TiriogaethBwlgaria
DinasSofia
Cyfnod26/06/2428/06/24

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