Coverage Area Maximization Using MOFAC-GA-PSO Hybrid Algorithm in Energy Efficient WSN Design-Reference-Cited by-同舟云学术

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Coverage Area Maximization Using MOFAC-GA-PSO Hybrid Algorithm in Energy Efficient WSN Design

Published:2023 Issue: Volume:11 Page:99901-99917
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kumar De Sudip¹^ORCID,Banerjee Avishek²^ORCID,Majumder Koushik³^ORCID,Kotecha Ketan⁴^ORCID,Abraham Ajith⁵^ORCID

Affiliation:

1. Department of Information Technology, Asansol Engineering College, Asansol, India

2. Department of Computer Science and Business System, Asansol Engineering College, Asansol, India

3. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology (MAKAUT), Haringhata, West Bengal, India

4. Symbiosis Centre for Applied Artificial Intelligence, Symbiosis International (Deemed University), Pune, India

5. School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh, India

Funder

Analytical Center for the Government of the Russian Federation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10242795.pdf?arnumber=10242795

Reference48 articles.

1. Maximizing the wireless sensor networks lifetime through energy efficient connected coverage

2. Development of Energy Efficient and Optimized Coverage Area Network Configuration to Achieve Reliable WSN Network Using Meta-Heuristic Approaches

3. Optimization and estimation of reliability indices and cost of Power Distribution System of an urban area by a noble fuzzy-hybrid algorithm

4. A centralized immune-Voronoi deployment algorithm for coverage maximization and energy conservation in mobile wireless sensor networks

5. Target-aware distributed coverage and connectivity algorithm for wireless sensor networks

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