Conference
A Novel Particle Swarm Optimization Algorithm for k-Coverage Problems in Wireless Sensor Networks
Abstract
In wireless sensor network, since the sensor signal coverage is directly related to the optimization of sensor resources, it is one of the most basic problems. To find the minimum number of sensors needed for the deployment and optimize the positions of sensors, self-adaptive estimation particle swarm optimization (SEPSO) is adopted. In some scenes, sensors should be avoided being placed in the area where it is inconvenient to make deployment, …
Authors
Zhang Y; Shen W
Volume
00
Pagination
pp. 831-836
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
May 7, 2021
DOI
10.1109/cscwd49262.2021.9437877
Name of conference
2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)