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Maximizing the Coverage of Sensor Deployments Using a Memetic Algorithm and Fast Coverage Estimation
- Authors
- Yoon, Yourim; Kim, Yong-Hyuk
- Issue Date
- Jul-2022
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Fast evaluation; Genetic algorithms; Mathematical analysis; mathematical analysis; maximum coverage; memetic algorithm (MA); Memetics; Monitoring; Search problems; sensor deployment; Sensors; Wireless sensor networks
- Citation
- IEEE Transactions on Cybernetics, v.52, no.7, pp.6531 - 6542
- Journal Title
- IEEE Transactions on Cybernetics
- Volume
- 52
- Number
- 7
- Start Page
- 6531
- End Page
- 6542
- ISSN
- 2168-2267
- Abstract
- 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
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Related Researcher
- Yoon, You Rim
- College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))