Analytical modelling of the A-ANCH clustering algorithm for WSNs

Morteza M. Zanjireh; Hadi Larijani

doi:10.1109/ICUFN.2015.7182580

Analytical modelling of the A-ANCH clustering algorithm for WSNs

Morteza M. Zanjireh, Hadi Larijani

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

Abstract

In a Wireless Sensor Network (WSN), the importance of individual sensors might not be equal. That is, some nodes might be more important than others due to their proximity to critical regions. A-ANCH is one of the new clustering algorithms for these scenarios which extends the lifetimes of active sensors by sacrificing in-active ones. In this paper, an analytical model for the A-ANCH algorithm is presented in order to predict the number of sensed events (packets) in the network. Our extensive experiments illustrated on average 91.08% accuracy for the proposed mathematical model compared with the results of a simulation study. The analytical model presented here has also revealed that the number of sensed events in the A-ANCH algorithm is sensitive to the number of sensors and the network dimensions. On the other hand, it is almost insensitive to the number of clusters.

Original language	English
Title of host publication	2015 Seventh International Conference on Ubiquitous and Future Networks
Publisher	IEEE
Pages	429-434
Number of pages	6
ISBN (Electronic)	9781479989935
DOIs	https://doi.org/10.1109/ICUFN.2015.7182580
Publication status	Published - 10 Aug 2015
Event	The 7th International Conference on Ubiquitous and Future Networks - Sapporo, Japan Duration: 7 Jul 2015 → 10 Jul 2015

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
Volume	2015-August
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	The 7th International Conference on Ubiquitous and Future Networks
Abbreviated title	ICUFN 2015
Country/Territory	Japan
City	Sapporo
Period	7/07/15 → 10/07/15

Keywords

active and in-active sensors
analytical modelling
clustering
energy efficiency
wireless sensor networks

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture

Documents and Links

10.1109/ICUFN.2015.7182580

Cite this

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title = "Analytical modelling of the A-ANCH clustering algorithm for WSNs",

abstract = "In a Wireless Sensor Network (WSN), the importance of individual sensors might not be equal. That is, some nodes might be more important than others due to their proximity to critical regions. A-ANCH is one of the new clustering algorithms for these scenarios which extends the lifetimes of active sensors by sacrificing in-active ones. In this paper, an analytical model for the A-ANCH algorithm is presented in order to predict the number of sensed events (packets) in the network. Our extensive experiments illustrated on average 91.08% accuracy for the proposed mathematical model compared with the results of a simulation study. The analytical model presented here has also revealed that the number of sensed events in the A-ANCH algorithm is sensitive to the number of sensors and the network dimensions. On the other hand, it is almost insensitive to the number of clusters.",

keywords = "active and in-active sensors, analytical modelling, clustering, energy efficiency, wireless sensor networks",

author = "Zanjireh, {Morteza M.} and Hadi Larijani",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; The 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015 ; Conference date: 07-07-2015 Through 10-07-2015",

year = "2015",

month = aug,

day = "10",

doi = "10.1109/ICUFN.2015.7182580",

language = "English",

series = "International Conference on Ubiquitous and Future Networks, ICUFN",

publisher = "IEEE",

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booktitle = "2015 Seventh International Conference on Ubiquitous and Future Networks",

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Zanjireh, MM & Larijani, H 2015, Analytical modelling of the A-ANCH clustering algorithm for WSNs. in 2015 Seventh International Conference on Ubiquitous and Future Networks., 7182580, International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2015-August, IEEE, pp. 429-434, The 7th International Conference on Ubiquitous and Future Networks, Sapporo, Japan, 7/07/15. https://doi.org/10.1109/ICUFN.2015.7182580

Analytical modelling of the A-ANCH clustering algorithm for WSNs. / Zanjireh, Morteza M.; Larijani, Hadi.
2015 Seventh International Conference on Ubiquitous and Future Networks. IEEE, 2015. p. 429-434 7182580 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2015-August).

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

TY - GEN

T1 - Analytical modelling of the A-ANCH clustering algorithm for WSNs

AU - Zanjireh, Morteza M.

AU - Larijani, Hadi

PY - 2015/8/10

Y1 - 2015/8/10

N2 - In a Wireless Sensor Network (WSN), the importance of individual sensors might not be equal. That is, some nodes might be more important than others due to their proximity to critical regions. A-ANCH is one of the new clustering algorithms for these scenarios which extends the lifetimes of active sensors by sacrificing in-active ones. In this paper, an analytical model for the A-ANCH algorithm is presented in order to predict the number of sensed events (packets) in the network. Our extensive experiments illustrated on average 91.08% accuracy for the proposed mathematical model compared with the results of a simulation study. The analytical model presented here has also revealed that the number of sensed events in the A-ANCH algorithm is sensitive to the number of sensors and the network dimensions. On the other hand, it is almost insensitive to the number of clusters.

AB - In a Wireless Sensor Network (WSN), the importance of individual sensors might not be equal. That is, some nodes might be more important than others due to their proximity to critical regions. A-ANCH is one of the new clustering algorithms for these scenarios which extends the lifetimes of active sensors by sacrificing in-active ones. In this paper, an analytical model for the A-ANCH algorithm is presented in order to predict the number of sensed events (packets) in the network. Our extensive experiments illustrated on average 91.08% accuracy for the proposed mathematical model compared with the results of a simulation study. The analytical model presented here has also revealed that the number of sensed events in the A-ANCH algorithm is sensitive to the number of sensors and the network dimensions. On the other hand, it is almost insensitive to the number of clusters.

KW - active and in-active sensors

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KW - energy efficiency

KW - wireless sensor networks

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DO - 10.1109/ICUFN.2015.7182580

M3 - Conference contribution

AN - SCOPUS:84944683789

T3 - International Conference on Ubiquitous and Future Networks, ICUFN

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BT - 2015 Seventh International Conference on Ubiquitous and Future Networks

PB - IEEE

T2 - The 7th International Conference on Ubiquitous and Future Networks

Y2 - 7 July 2015 through 10 July 2015

ER -

Analytical modelling of the A-ANCH clustering algorithm for WSNs

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Documents and Links

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Cite this