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

Rahul Priyadarshi; Raj Vikram; ZeKun Huang; Tiansheng Yang; Rajkumar Singh Rathore

doi:10.1109/mocast61810.2024.10615606

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

Rahul Priyadarshi, Raj Vikram, ZeKun Huang, Tiansheng Yang, Rajkumar Singh Rathore

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the 13th MOCAST Conference
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	7
ISBN (Electronic)	979-8-3503-8543-4
ISBN (Print)	979-8-3503-8542-7
DOIs	https://doi.org/10.1109/mocast61810.2024.10615606
Publication status	Published - 26 Jun 2024
Event	13th International Conference on Modern Circuits and Systems Technologies (MOCAST) - , Bulgaria Duration: 26 Jun 2024 → 28 Jun 2024

Publication series

Name
Publisher	IEEE
ISSN (Print)	2993-4435
ISSN (Electronic)	2993-4443

Conference

Conference	13th International Conference on Modern Circuits and Systems Technologies (MOCAST)
Abbreviated title	MOCAST2024
Country/Territory	Bulgaria
Period	26/06/24 → 28/06/24

Access to Document

10.1109/mocast61810.2024.10615606

Cite this

@inproceedings{9151982a72794328b288b9046fa1ac95,

title = "Multi-Objective Optimization for Coverage and Connectivity in Wireless Sensor Networks",

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.",

author = "Rahul Priyadarshi and Raj Vikram and ZeKun Huang and Tiansheng Yang and Rathore, {Rajkumar Singh}",

year = "2024",

month = jun,

day = "26",

doi = "10.1109/mocast61810.2024.10615606",

language = "English",

isbn = "979-8-3503-8542-7",

publisher = "Institute of Electrical and Electronics Engineers",

booktitle = "Proceedings of the 13th MOCAST Conference",

note = "13th International Conference on Modern Circuits and Systems Technologies (MOCAST), MOCAST2024 ; Conference date: 26-06-2024 Through 28-06-2024",

}

Priyadarshi, R, Vikram, R, Huang, Z, Yang, T & Rathore, RS 2024, Multi-Objective Optimization for Coverage and Connectivity in Wireless Sensor Networks. in Proceedings of the 13th MOCAST Conference., 10615606, Institute of Electrical and Electronics Engineers, 13th International Conference on Modern Circuits and Systems Technologies (MOCAST), Bulgaria, 26/06/24. https://doi.org/10.1109/mocast61810.2024.10615606

TY - GEN

T1 - Multi-Objective Optimization for Coverage and Connectivity in Wireless Sensor Networks

AU - Priyadarshi, Rahul

AU - Vikram, Raj

AU - Huang, ZeKun

AU - Yang, Tiansheng

AU - Rathore, Rajkumar Singh

PY - 2024/6/26

Y1 - 2024/6/26

N2 - 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.

AB - 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.

U2 - 10.1109/mocast61810.2024.10615606

DO - 10.1109/mocast61810.2024.10615606

M3 - Conference contribution

SN - 979-8-3503-8542-7

BT - Proceedings of the 13th MOCAST Conference

PB - Institute of Electrical and Electronics Engineers

T2 - 13th International Conference on Modern Circuits and Systems Technologies (MOCAST)

Y2 - 26 June 2024 through 28 June 2024

ER -