Maximizing the Coverage of Sensor Deployments Using a Memetic Algorithm and Fast Coverage Estimation

Citations

WEB OF SCIENCE

17
Citations

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21

초록

We derive the upper and lower bounds on the coverage of a 2-D deployment of static sensors. We use these bounds in constructing a method of estimating the coverage of deployment by assuming that there are only pairwise intersections between the disks representing the range of each sensor. The speed of this approximation allows it to be built into a local search technique, as part of a memetic algorithm (MA) that tries to deploy a given set of sensors with maximum coverage. We show that this MA outperforms the previous techniques in terms of both speed and coverage achieved. IEEE

키워드

Fast evaluation; Genetic algorithms; Mathematical analysis; mathematical analysis; maximum coverage; memetic algorithm (MA); Memetics; Monitoring; Search problems; sensor deployment; Sensors; Wireless sensor networks; Coverage estimations; Local search techniques; Maximum coverage; Memetic algorithms; Sensor deployment; Static sensors; Upper and lower bounds; Approximation algorithms
제목
Maximizing the Coverage of Sensor Deployments Using a Memetic Algorithm and Fast Coverage Estimation
저자
Yoon, Yourim; Kim, Yong-Hyuk
DOI
10.1109/TCYB.2021.3075986
발행일
2022-07
유형
Article
저널명
IEEE Transactions on Cybernetics
권
52
호
7
페이지
6531 ~ 6542