Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic

Shuang Gu; Yong Yue; Carsten Maple; Beisheng Liu; Chengdong Wu

doi:10.1109/FSKD.2013.6816229

Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic

Shuang Gu, Yong Yue, Carsten Maple, Beisheng Liu, Chengdong Wu

Department of Computing

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

1 Citation (Scopus)

Abstract

The application of wireless sensor networks (WSNs) has been greatly improved by the advance of micro-electromechanical systems (MEMS) and radio frequency (RF) technology. Compared with the traditional networks, WSNs are data-centric, self-configuring and self healing. In this paper, a novel probabilistic fuzzy logic based localisation algorithm is proposed which can be effectively used in three-dimensional (3D) spaces for localisation in wireless sensor networks (LWSNs). Simulation results demonstrate that the proposed algorithm scales well and provides excellent positioning accuracy when varying different deployment models.

Original language	English
Title of host publication	Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013
Publisher	IEEE Computer Society
Pages	396-401
Number of pages	6
ISBN (Print)	9781467352536
DOIs	https://doi.org/10.1109/FSKD.2013.6816229
Publication status	Published - 2013
Event	2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013 - Shenyang, China Duration: 23 Jul 2013 → 25 Jul 2013

Publication series

Name	Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013

Conference

Conference	2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013
Country/Territory	China
City	Shenyang
Period	23/07/13 → 25/07/13

Keywords

3D
LWSNs
Probabilistic fuzzy logic

Access to Document

10.1109/FSKD.2013.6816229

Cite this

Gu, S., Yue, Y., Maple, C., Liu, B., & Wu, C. (2013). Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic. In Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013 (pp. 396-401). Article 6816229 (Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013). IEEE Computer Society. https://doi.org/10.1109/FSKD.2013.6816229

Gu, Shuang ; Yue, Yong ; Maple, Carsten et al. / Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic. Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013. IEEE Computer Society, 2013. pp. 396-401 (Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013).

@inproceedings{08891268dc634357856d5a73b2d5c1f0,

title = "Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic",

abstract = "The application of wireless sensor networks (WSNs) has been greatly improved by the advance of micro-electromechanical systems (MEMS) and radio frequency (RF) technology. Compared with the traditional networks, WSNs are data-centric, self-configuring and self healing. In this paper, a novel probabilistic fuzzy logic based localisation algorithm is proposed which can be effectively used in three-dimensional (3D) spaces for localisation in wireless sensor networks (LWSNs). Simulation results demonstrate that the proposed algorithm scales well and provides excellent positioning accuracy when varying different deployment models.",

keywords = "3D, LWSNs, Probabilistic fuzzy logic",

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

year = "2013",

doi = "10.1109/FSKD.2013.6816229",

language = "English",

isbn = "9781467352536",

series = "Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013",

publisher = "IEEE Computer Society",

pages = "396--401",

booktitle = "Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013",

note = "2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013 ; Conference date: 23-07-2013 Through 25-07-2013",

}

Gu, S, Yue, Y, Maple, C, Liu, B & Wu, C 2013, Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic. in Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013., 6816229, Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013, IEEE Computer Society, pp. 396-401, 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013, Shenyang, China, 23/07/13. https://doi.org/10.1109/FSKD.2013.6816229

Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic. / Gu, Shuang; Yue, Yong; Maple, Carsten et al.
Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013. IEEE Computer Society, 2013. p. 396-401 6816229 (Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013).

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

TY - GEN

T1 - Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic

AU - Gu, Shuang

AU - Yue, Yong

AU - Maple, Carsten

AU - Liu, Beisheng

AU - Wu, Chengdong

PY - 2013

Y1 - 2013

N2 - The application of wireless sensor networks (WSNs) has been greatly improved by the advance of micro-electromechanical systems (MEMS) and radio frequency (RF) technology. Compared with the traditional networks, WSNs are data-centric, self-configuring and self healing. In this paper, a novel probabilistic fuzzy logic based localisation algorithm is proposed which can be effectively used in three-dimensional (3D) spaces for localisation in wireless sensor networks (LWSNs). Simulation results demonstrate that the proposed algorithm scales well and provides excellent positioning accuracy when varying different deployment models.

AB - The application of wireless sensor networks (WSNs) has been greatly improved by the advance of micro-electromechanical systems (MEMS) and radio frequency (RF) technology. Compared with the traditional networks, WSNs are data-centric, self-configuring and self healing. In this paper, a novel probabilistic fuzzy logic based localisation algorithm is proposed which can be effectively used in three-dimensional (3D) spaces for localisation in wireless sensor networks (LWSNs). Simulation results demonstrate that the proposed algorithm scales well and provides excellent positioning accuracy when varying different deployment models.

KW - 3D

KW - LWSNs

KW - Probabilistic fuzzy logic

UR - http://www.scopus.com/inward/record.url?scp=84901920470&partnerID=8YFLogxK

U2 - 10.1109/FSKD.2013.6816229

DO - 10.1109/FSKD.2013.6816229

M3 - Conference Proceeding

AN - SCOPUS:84901920470

SN - 9781467352536

T3 - Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013

SP - 396

EP - 401

BT - Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013

PB - IEEE Computer Society

T2 - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013

Y2 - 23 July 2013 through 25 July 2013

ER -

Gu S, Yue Y, Maple C, Liu B, Wu C. Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic. In Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013. IEEE Computer Society. 2013. p. 396-401. 6816229. (Proceedings - 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013). doi: 10.1109/FSKD.2013.6816229

Three-dimensional localisation for wireless sensor networks using probabilistic fuzzy logic

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this