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Maximizing the Coverage of Sensor Deployments Using a Memetic Algorithm and Fast Coverage Estimation
- Yoon, Yourim;
- Kim, Yong-Hyuk
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17Citations
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21초록
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
- 발행일
- 2022-07
- 유형
- Article
- 권
- 52
- 호
- 7
- 페이지
- 6531 ~ 6542
- 언어
- ENG
- 출판사
- Institute of Electrical and Electronics Engineers Inc.
- 발행국가
- 미국
- 분량
- 12 페이지
- ISSN
- E 2168-2275
P 2168-2267