Autonomous hexagonal deployment for optimal coverage in mobile sensor networks

Jun Li; Baihai Zhang; Lingguo Cui; Senchun Chai

doi:10.1049/cp.2012.2345

Autonomous hexagonal deployment for optimal coverage in mobile sensor networks

Jun Li, Baihai Zhang, Lingguo Cui, Senchun Chai

School of Automation

Beijing Institute of Technology

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

Abstract

Self-deployment is one of the main research issues in mobile sensor networks. It determines quality of service of networks, such as coverage and connectivity. In this paper, a novel autonomous hexagonal deployment algorithm for optimal coverage is presented to achieve the ideal hexagonal deployment. According to this algorithm, a self-deployment approach by adjusting centroid is proposed so that the stacking problem in traditional virtual force approach can be avoided. Moreover, the virtual force algorithm is used to improving the sparse deployment. Simulation results show that self-deployment by the proposed algorithm can effectively reach the ideal hexagonal deployment for optimal coverage in the mobile sensor network with concentrated or sparse initial placement.

Original language	English
Title of host publication	IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012
Edition	636 CP
DOIs	https://doi.org/10.1049/cp.2012.2345
Publication status	Published - 2012
Event	IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012 - Shenzhen, China Duration: 7 Dec 2012 → 9 Dec 2012

Publication series

Name	IET Conference Publications
Number	636 CP
Volume	2012

Conference

Conference	IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012
Country/Territory	China
City	Shenzhen
Period	7/12/12 → 9/12/12

Keywords

Hexagonal structure
Mobile sensor networks
Optimal coverage
Self-deployment

Access to Document

10.1049/cp.2012.2345

Cite this

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title = "Autonomous hexagonal deployment for optimal coverage in mobile sensor networks",

abstract = "Self-deployment is one of the main research issues in mobile sensor networks. It determines quality of service of networks, such as coverage and connectivity. In this paper, a novel autonomous hexagonal deployment algorithm for optimal coverage is presented to achieve the ideal hexagonal deployment. According to this algorithm, a self-deployment approach by adjusting centroid is proposed so that the stacking problem in traditional virtual force approach can be avoided. Moreover, the virtual force algorithm is used to improving the sparse deployment. Simulation results show that self-deployment by the proposed algorithm can effectively reach the ideal hexagonal deployment for optimal coverage in the mobile sensor network with concentrated or sparse initial placement.",

keywords = "Hexagonal structure, Mobile sensor networks, Optimal coverage, Self-deployment",

author = "Jun Li and Baihai Zhang and Lingguo Cui and Senchun Chai",

year = "2012",

doi = "10.1049/cp.2012.2345",

language = "English",

isbn = "9781849196413",

series = "IET Conference Publications",

number = "636 CP",

booktitle = "IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012",

edition = "636 CP",

note = "IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012 ; Conference date: 07-12-2012 Through 09-12-2012",

}

Li, J, Zhang, B , Cui, L & Chai, S 2012, Autonomous hexagonal deployment for optimal coverage in mobile sensor networks. in IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012. 636 CP edn, 2345, IET Conference Publications, no. 636 CP, vol. 2012, IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012, Shenzhen, China, 7/12/12. https://doi.org/10.1049/cp.2012.2345

Autonomous hexagonal deployment for optimal coverage in mobile sensor networks. / Li, Jun; Zhang, Baihai ; Cui, Lingguo et al.
IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012. 636 CP. ed. 2012. 2345 (IET Conference Publications; Vol. 2012, No. 636 CP).

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

TY - GEN

T1 - Autonomous hexagonal deployment for optimal coverage in mobile sensor networks

AU - Li, Jun

AU - Zhang, Baihai

AU - Cui, Lingguo

AU - Chai, Senchun

PY - 2012

Y1 - 2012

N2 - Self-deployment is one of the main research issues in mobile sensor networks. It determines quality of service of networks, such as coverage and connectivity. In this paper, a novel autonomous hexagonal deployment algorithm for optimal coverage is presented to achieve the ideal hexagonal deployment. According to this algorithm, a self-deployment approach by adjusting centroid is proposed so that the stacking problem in traditional virtual force approach can be avoided. Moreover, the virtual force algorithm is used to improving the sparse deployment. Simulation results show that self-deployment by the proposed algorithm can effectively reach the ideal hexagonal deployment for optimal coverage in the mobile sensor network with concentrated or sparse initial placement.

AB - Self-deployment is one of the main research issues in mobile sensor networks. It determines quality of service of networks, such as coverage and connectivity. In this paper, a novel autonomous hexagonal deployment algorithm for optimal coverage is presented to achieve the ideal hexagonal deployment. According to this algorithm, a self-deployment approach by adjusting centroid is proposed so that the stacking problem in traditional virtual force approach can be avoided. Moreover, the virtual force algorithm is used to improving the sparse deployment. Simulation results show that self-deployment by the proposed algorithm can effectively reach the ideal hexagonal deployment for optimal coverage in the mobile sensor network with concentrated or sparse initial placement.

KW - Hexagonal structure

KW - Mobile sensor networks

KW - Optimal coverage

KW - Self-deployment

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U2 - 10.1049/cp.2012.2345

DO - 10.1049/cp.2012.2345

M3 - Conference contribution

AN - SCOPUS:84894515228

SN - 9781849196413

T3 - IET Conference Publications

BT - IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012

T2 - IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012

Y2 - 7 December 2012 through 9 December 2012

ER -

Autonomous hexagonal deployment for optimal coverage in mobile sensor networks

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Keywords

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