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An Inclusive Study of Coverage Optimization in Wireless Sensor Network with Intelligence-Inspired Algorithms

by Pankaj Kumar, Reena Dadhich
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 65
Year of Publication: 2025
Authors: Pankaj Kumar, Reena Dadhich
10.5120/ijca2025926098

Pankaj Kumar, Reena Dadhich . An Inclusive Study of Coverage Optimization in Wireless Sensor Network with Intelligence-Inspired Algorithms. International Journal of Computer Applications. 187, 65 ( Dec 2025), 24-33. DOI=10.5120/ijca2025926098

@article{ 10.5120/ijca2025926098,
author = { Pankaj Kumar, Reena Dadhich },
title = { An Inclusive Study of Coverage Optimization in Wireless Sensor Network with Intelligence-Inspired Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2025 },
volume = { 187 },
number = { 65 },
month = { Dec },
year = { 2025 },
issn = { 0975-8887 },
pages = { 24-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number65/an-inclusive-study-of-coverage-optimization-in-wireless-sensor-network-with-intelligence-inspired-algorithms/ },
doi = { 10.5120/ijca2025926098 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-12-18T17:50:19.348503+05:30
%A Pankaj Kumar
%A Reena Dadhich
%T An Inclusive Study of Coverage Optimization in Wireless Sensor Network with Intelligence-Inspired Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 65
%P 24-33
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Network (WSN) has gained more attention of researchers as it is having issues which has to be addressed in an efficient way. Energy-efficient network, Clustering, Network lifetime, Effective Routing, Fault-tolerance, Coverage maximization, Connectivity among sensor nodes, etc. are various issues which require effective solutions for better utilization of WSN in real-time scenario. Coverage is one of the important factors in wireless sensor network which describes covering quality of sensor nodes in particular deployed area. It is defined as how well the sensor nodes cover the particular region and monitor the events or any triggered action in that region. Coverage Optimization is an approach to maximize the covering of monitoring area or target points using sensor nodes. The motive of the proposed work is to explore coverage optimization using different paradigms of intelligence-inspired algorithm under various factors and construct the comparative assessment of these algorithms based on different criteria.

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Index Terms

Computer Science
Information Sciences

Keywords

Coverage Connectivity Deployment Sensing Intelligence Optimization

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