Multi-objective directional sensor placement for wireless sensor networks

Chi Tsun Cheng; Henry Leung

doi:10.1109/ISCAS.2014.6865184

Multi-objective directional sensor placement for wireless sensor networks

Chi Tsun Cheng, Henry Leung

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

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
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	https://doi.org/10.1109/ISCAS.2014.6865184
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
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

More information

10.1109/ISCAS.2014.6865184

Cite this

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title = "Multi-objective directional sensor placement for wireless sensor networks",

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.",

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AU - Leung, Henry

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AB - 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.

KW - multi-objective optimization

KW - resource management

KW - sensing coverage

KW - Wireless sensor networks

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M3 - Conference article published in proceeding or book

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BT - 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014

PB - IEEE

T2 - 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014

Y2 - 1 June 2014 through 5 June 2014

ER -

Multi-objective directional sensor placement for wireless sensor networks

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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