Abstract
In this paper, a multi-objective directional sensor placement problem for wireless sensor networks is considered. The goal of the multi-objective optimization problem is to obtain sensor placement solutions with reasonable trade-offs between two conflicting objectives, namely energy consumption and detection capability. An adaptive normalized normal constraint method is proposed to solve such optimization problem. Simulation results show that, when comparing with a conventional normalized normal constraint method and NSGA-II, the proposed method is more capable of finding extreme solutions on an approximated Pareto frontier.
Original language | English |
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Title of host publication | 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 |
Publisher | IEEE |
Pages | 510-513 |
Number of pages | 4 |
ISBN (Print) | 9781479934324 |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Event | 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 - Melbourne, VIC, Australia Duration: 1 Jun 2014 → 5 Jun 2014 |
Conference
Conference | 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 |
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Country/Territory | Australia |
City | Melbourne, VIC |
Period | 1/06/14 → 5/06/14 |
Keywords
- multi-objective optimization
- resource management
- sensing coverage
- Wireless sensor networks
ASJC Scopus subject areas
- Electrical and Electronic Engineering