Analytical modelling of the A-ANCH clustering algorithm for WSNs

Morteza M. Zanjireh, Hadi Larijani

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2015 Seventh International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages429-434
Number of pages6
ISBN (Electronic)9781479989935
DOIs
Publication statusPublished - 10 Aug 2015
EventThe 7th International Conference on Ubiquitous and Future Networks - Sapporo, Japan
Duration: 7 Jul 201510 Jul 2015

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2015-August
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

ConferenceThe 7th International Conference on Ubiquitous and Future Networks
Abbreviated titleICUFN 2015
Country/TerritoryJapan
CitySapporo
Period7/07/1510/07/15

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

Fingerprint

Dive into the research topics of 'Analytical modelling of the A-ANCH clustering algorithm for WSNs'. Together they form a unique fingerprint.

Cite this