Fuzzy logic based localisation in wireless sensor networks for disaster environment

Yong Yue; Shuang Gu; Carsten Maple; Chengdong Wu

Fuzzy logic based localisation in wireless sensor networks for disaster environment

Yong Yue
, Shuang Gu
, Carsten Maple
, Chengdong Wu

University of Bedfordshire

Northeastern University China

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Progress in micro-electromechanical systems (MEMS) and radio frequency (RF) technology has fostered the development of wireless sensor networks (WSNs). Although WSNs have been successfully applied in built environments, their applications and benefits have not been fully explored in the areas of disaster recovery and rescuing. In this paper, a novel probabilistic fuzzy logic based Range-free localisation algorithm (PFRL) is proposed. The proposed algorithm is compared with other range free localisation algorithms. Simulation results demonstrate the accurate and effectiveness of the proposed algorithm.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467317221
ISBN (Print)	9781467317221
Publication status	Published - 15 Oct 2012
Event	18th International Conference on Automation and Computing (ICAC) - Loughborough Duration: 7 Sept 2012 → 8 Sept 2012

Conference

Conference	18th International Conference on Automation and Computing (ICAC)
City	Loughborough
Period	7/09/12 → 8/09/12
Other	18th International Conference on Automation and Computing (ICAC) (07/09/2012-08/09/2012, Loughborough)

Keywords

Wireless Sensor Networks

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@inproceedings{0d7e1943daf040258a9465edbd03a9f7,

title = "Fuzzy logic based localisation in wireless sensor networks for disaster environment",

abstract = "Progress in micro-electromechanical systems (MEMS) and radio frequency (RF) technology has fostered the development of wireless sensor networks (WSNs). Although WSNs have been successfully applied in built environments, their applications and benefits have not been fully explored in the areas of disaster recovery and rescuing. In this paper, a novel probabilistic fuzzy logic based Range-free localisation algorithm (PFRL) is proposed. The proposed algorithm is compared with other range free localisation algorithms. Simulation results demonstrate the accurate and effectiveness of the proposed algorithm.",

keywords = "Wireless Sensor Networks",

author = "Yong Yue and Shuang Gu and Carsten Maple and Chengdong Wu",

year = "2012",

month = oct,

day = "15",

language = "English",

isbn = "9781467317221",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "18th International Conference on Automation and Computing (ICAC) ; Conference date: 07-09-2012 Through 08-09-2012",

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TY - GEN

T1 - Fuzzy logic based localisation in wireless sensor networks for disaster environment

AU - Yue, Yong

AU - Gu, Shuang

AU - Maple, Carsten

AU - Wu, Chengdong

PY - 2012/10/15

Y1 - 2012/10/15

N2 - Progress in micro-electromechanical systems (MEMS) and radio frequency (RF) technology has fostered the development of wireless sensor networks (WSNs). Although WSNs have been successfully applied in built environments, their applications and benefits have not been fully explored in the areas of disaster recovery and rescuing. In this paper, a novel probabilistic fuzzy logic based Range-free localisation algorithm (PFRL) is proposed. The proposed algorithm is compared with other range free localisation algorithms. Simulation results demonstrate the accurate and effectiveness of the proposed algorithm.

AB - Progress in micro-electromechanical systems (MEMS) and radio frequency (RF) technology has fostered the development of wireless sensor networks (WSNs). Although WSNs have been successfully applied in built environments, their applications and benefits have not been fully explored in the areas of disaster recovery and rescuing. In this paper, a novel probabilistic fuzzy logic based Range-free localisation algorithm (PFRL) is proposed. The proposed algorithm is compared with other range free localisation algorithms. Simulation results demonstrate the accurate and effectiveness of the proposed algorithm.

KW - Wireless Sensor Networks

M3 - Conference contribution

SN - 9781467317221

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th International Conference on Automation and Computing (ICAC)

Y2 - 7 September 2012 through 8 September 2012

ER -

Fuzzy logic based localisation in wireless sensor networks for disaster environment

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