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Intelligent Deployment Model for Target Coverage in Wireless Sensor Network

K. Subramanian*, S. Shanmugavel

Department of ECE, National Engineering College, Kovilpatti, Tamilnadu, India

* Corresponding Author: K. Subramanian. Email: email

Intelligent Automation & Soft Computing 2023, 35(1), 739-754.


Target coverage and continuous connection are the major recital factors for Wireless Sensor Network (WSN). Several previous research works studied various algorithms for target coverage difficulties; however they lacked to focus on improving the network’s life time in terms of energy. This research work mainly focuses on target coverage and area coverage problem in a heterogeneous WSN with increased network lifetime. The dynamic behavior of the target nodes is unpredictable, because the target nodes may move at any time in any direction of the network. Thus, target coverage becomes a major problem in WSN and its applications. To solve the issue, this research work is motivated to design and develop an intelligent model named Distributed Flexible Wheel Chain (DFWC) model for efficient target coverage and area coverage in WSN applications. More number of target nodes is covered by minimum number of sensor nodes that can improve energy efficiency. To be specific, DFWC motivated at obtaining lesser connected target coverage, where every target is available in the monitoring area is covered by a smaller number of sensor nodes. The simulation results show that the proposed DFWC model outperforms the existing models with improved performance.


Cite This Article

APA Style
Subramanian, K., Shanmugavel, S. (2023). Intelligent deployment model for target coverage in wireless sensor network. Intelligent Automation & Soft Computing, 35(1), 739-754.
Vancouver Style
Subramanian K, Shanmugavel S. Intelligent deployment model for target coverage in wireless sensor network. Intell Automat Soft Comput . 2023;35(1):739-754
IEEE Style
K. Subramanian and S. Shanmugavel, "Intelligent Deployment Model for Target Coverage in Wireless Sensor Network," Intell. Automat. Soft Comput. , vol. 35, no. 1, pp. 739-754. 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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