Standard deviation based weighted clustering algorithm for wireless sensor networks

Faris Al-Baadani; Sufian Yousef; Laith Al-Jabouri; Sourabh Bhart

doi:10.1109/CEEC.2016.7835907

Standard deviation based weighted clustering algorithm for wireless sensor networks

Faris Al-Baadani, Sufian Yousef, Laith Al-Jabouri, Sourabh Bhart

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

Abstract

Clustering in wireless sensor networks (WSN) is a proven technique to avoid redundant transmissions to the sink for better utilization of scarce network resources such as energy. Most of the clustering algorithms proposed in literature involves high number of message exchanges which results in unnecessary energy consumption. In this paper, we propose a standard deviation based weighted cluster head selection algorithm to avoid such message exchanges. The proposed mechanism uses distance and connectivity as two key parameters for optimal cluster head selection. Simulation results show that the proposed algorithm results in low packet drop, delay and control overhead.

Original language	English
Title of host publication	2016 8th Computer Science and Electronic Engineering Conference (CEEC)
Subtitle of host publication	conference proceedings
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	164-167
Number of pages	4
ISBN (Electronic)	9781509020508
ISBN (Print)	9781509012756
DOIs	https://doi.org/10.1109/CEEC.2016.7835907
Publication status	Published - 30 Jan 2017
Externally published	Yes
Event	8th Computer Science and Electronic Engineering Conference - University of Essex, Colchester, United Kingdom Duration: 28 Sept 2016 → 30 Sept 2016 Conference number: 8th

Conference

Conference	8th Computer Science and Electronic Engineering Conference
Abbreviated title	CEEC 2016
Country/Territory	United Kingdom
City	Colchester
Period	28/09/16 → 30/09/16

Keywords

Clustering algorithms
Standards
Wireless sensor networks
Routing
Sensors
Throughput
Ad hoc networks

Access to Document

10.1109/CEEC.2016.7835907

Cite this

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title = "Standard deviation based weighted clustering algorithm for wireless sensor networks",

abstract = "Clustering in wireless sensor networks (WSN) is a proven technique to avoid redundant transmissions to the sink for better utilization of scarce network resources such as energy. Most of the clustering algorithms proposed in literature involves high number of message exchanges which results in unnecessary energy consumption. In this paper, we propose a standard deviation based weighted cluster head selection algorithm to avoid such message exchanges. The proposed mechanism uses distance and connectivity as two key parameters for optimal cluster head selection. Simulation results show that the proposed algorithm results in low packet drop, delay and control overhead.",

author = "Faris Al-Baadani and Sufian Yousef and Laith Al-Jabouri and Sourabh Bhart",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th Computer Science and Electronic Engineering Conference, CEEC 2016 ; Conference date: 28-09-2016 Through 30-09-2016",

year = "2017",

month = jan,

day = "30",

doi = "10.1109/CEEC.2016.7835907",

language = "English",

isbn = "9781509012756",

pages = "164--167",

booktitle = "2016 8th Computer Science and Electronic Engineering Conference (CEEC)",

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

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}

Al-Baadani, F, Yousef, S, Al-Jabouri, L & Bhart, S 2017, Standard deviation based weighted clustering algorithm for wireless sensor networks. in 2016 8th Computer Science and Electronic Engineering Conference (CEEC): conference proceedings. Institute of Electrical and Electronics Engineers Inc., Piscataway, pp. 164-167, 8th Computer Science and Electronic Engineering Conference, Colchester, United Kingdom, 28/09/16. https://doi.org/10.1109/CEEC.2016.7835907

Standard deviation based weighted clustering algorithm for wireless sensor networks. / Al-Baadani, Faris; Yousef, Sufian; Al-Jabouri, Laith et al.
2016 8th Computer Science and Electronic Engineering Conference (CEEC): conference proceedings. Piscataway: Institute of Electrical and Electronics Engineers Inc., 2017. p. 164-167.

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

TY - GEN

T1 - Standard deviation based weighted clustering algorithm for wireless sensor networks

AU - Al-Baadani, Faris

AU - Yousef, Sufian

AU - Al-Jabouri, Laith

AU - Bhart, Sourabh

N1 - Conference code: 8th

PY - 2017/1/30

Y1 - 2017/1/30

N2 - Clustering in wireless sensor networks (WSN) is a proven technique to avoid redundant transmissions to the sink for better utilization of scarce network resources such as energy. Most of the clustering algorithms proposed in literature involves high number of message exchanges which results in unnecessary energy consumption. In this paper, we propose a standard deviation based weighted cluster head selection algorithm to avoid such message exchanges. The proposed mechanism uses distance and connectivity as two key parameters for optimal cluster head selection. Simulation results show that the proposed algorithm results in low packet drop, delay and control overhead.

AB - Clustering in wireless sensor networks (WSN) is a proven technique to avoid redundant transmissions to the sink for better utilization of scarce network resources such as energy. Most of the clustering algorithms proposed in literature involves high number of message exchanges which results in unnecessary energy consumption. In this paper, we propose a standard deviation based weighted cluster head selection algorithm to avoid such message exchanges. The proposed mechanism uses distance and connectivity as two key parameters for optimal cluster head selection. Simulation results show that the proposed algorithm results in low packet drop, delay and control overhead.

U2 - 10.1109/CEEC.2016.7835907

DO - 10.1109/CEEC.2016.7835907

M3 - Conference contribution

AN - SCOPUS:85015265373

SN - 9781509012756

SP - 164

EP - 167

BT - 2016 8th Computer Science and Electronic Engineering Conference (CEEC)

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway

T2 - 8th Computer Science and Electronic Engineering Conference

Y2 - 28 September 2016 through 30 September 2016

ER -

Standard deviation based weighted clustering algorithm for wireless sensor networks

Abstract

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Keywords

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