A GA approach to the optimal placement of sensors in wireless sensor networks with obstacles and preferences

Yong XU; Xin YAO

doi:10.1109/CCNC.2006.1593001

A GA approach to the optimal placement of sensors in wireless sensor networks with obstacles and preferences

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

48 Citations (Scopus)

Abstract

The wireless sensor network (WSN) has recently become an intensive research focus due to its potential applications in many areas. In this paper, we propose a new and efficient genetic algorithm (GA) to the optimal placement of sensors in a grid area with obstacles and preferences to minimize the number of sensors. A new sensor detection model is also introduced in this paper. Experiments show that our algorithm is able to achieve better results than previous heuristic algorithms. © 2006 IEEE.

Original language	English
Title of host publication	2006 3rd IEEE Consumer Communications and Networking Conference, CCNC 2006
Pages	127-131
Number of pages	5
Volume	1
DOIs	https://doi.org/10.1109/CCNC.2006.1593001
Publication status	Published - 15 Feb 2006
Externally published	Yes

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10.1109/CCNC.2006.1593001

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title = "A GA approach to the optimal placement of sensors in wireless sensor networks with obstacles and preferences",

abstract = "The wireless sensor network (WSN) has recently become an intensive research focus due to its potential applications in many areas. In this paper, we propose a new and efficient genetic algorithm (GA) to the optimal placement of sensors in a grid area with obstacles and preferences to minimize the number of sensors. A new sensor detection model is also introduced in this paper. Experiments show that our algorithm is able to achieve better results than previous heuristic algorithms. {\textcopyright} 2006 IEEE.",

author = "Yong XU and Xin YAO",

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AU - YAO, Xin

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N2 - The wireless sensor network (WSN) has recently become an intensive research focus due to its potential applications in many areas. In this paper, we propose a new and efficient genetic algorithm (GA) to the optimal placement of sensors in a grid area with obstacles and preferences to minimize the number of sensors. A new sensor detection model is also introduced in this paper. Experiments show that our algorithm is able to achieve better results than previous heuristic algorithms. © 2006 IEEE.

AB - The wireless sensor network (WSN) has recently become an intensive research focus due to its potential applications in many areas. In this paper, we propose a new and efficient genetic algorithm (GA) to the optimal placement of sensors in a grid area with obstacles and preferences to minimize the number of sensors. A new sensor detection model is also introduced in this paper. Experiments show that our algorithm is able to achieve better results than previous heuristic algorithms. © 2006 IEEE.

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U2 - 10.1109/CCNC.2006.1593001

DO - 10.1109/CCNC.2006.1593001

M3 - Conference paper (refereed)

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VL - 1

SP - 127

EP - 131

BT - 2006 3rd IEEE Consumer Communications and Networking Conference, CCNC 2006

ER -

A GA approach to the optimal placement of sensors in wireless sensor networks with obstacles and preferences

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