Performance analysis of PSO for solving coverage problem in WSN
| dc.contributor.author | Bhat, P.P. | |
| dc.contributor.author | Geetha, V. | |
| dc.date.accessioned | 2026-02-06T06:34:49Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | A Wireless Sensor Network consists of a large number of nodes which gather information from the surroundings and transmit it to other sensor nodes in the network. To maximize this area covered is the main task in a wireless sensor network. The gaps created due to the deployment of nodes leads to coverage holes, which leads towards the non area coverage and communication coverage. In this paper, we explore different deployment methods and use Particle Swarm Optimization (PSO) to maximize area coverage of a given region. Our work explores the deterministic and random deployment techniques for sensor nodes to achieve maximum coverage with respect to both area and target and usage of PSO to optimize the solution. The results are compared with PSO with deterministic deployment of sensors in a given region. © 2023 IEEE. | |
| dc.identifier.citation | ICSCCC 2023 - 3rd International Conference on Secure Cyber Computing and Communications, 2023, Vol., , p. 49-54 | |
| dc.identifier.uri | https://doi.org/10.1109/ICSCCC58608.2023.10176720 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/29483 | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.subject | area coverage | |
| dc.subject | coverage holes | |
| dc.subject | PSO | |
| dc.subject | target coverage | |
| dc.subject | WSN | |
| dc.title | Performance analysis of PSO for solving coverage problem in WSN |