Analytical modelling of the A-ANCH clustering algorithm for WSNs

Author

Zanjireh, Morteza M. ; Larijani, Hadi

Author_Institution

Sch. of Eng. & Built Environ., Glasgow Caledonian Univ., Glasgow, UK

fYear

2015

fDate

7-10 July 2015

Firstpage

429

Lastpage

434

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

telecommunication power management; wireless sensor networks; A-ANCH clustering algorithm; WSN; active sensor lifetime; activity aware avoid near cluster heads algorithm; wireless sensor network; Analytical models; Lead; Sensors; Active and in-active sensors; Analytical Modelling; Clustering; Energy Efficiency; Wireless Sensor Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on

Conference_Location

Sapporo

ISSN

2288-0712

Type

conf

DOI

10.1109/ICUFN.2015.7182580

Filename

7182580