Efficiency analysis and derivation of enhanced deployment models for sensor networks
by Frank Oldewurtel; Petri Mähönen
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 9, No. 1, 2012

Abstract: In this paper we analyse the efficiency of Distributed Source Coding (DSC) and its dependence on the node deployment strategies for Wireless Sensor Networks (WSN). The impact of correlation in both node locations and sensed phenomenon on the performance of WSNs in realistic environments is investigated. We show that significant energy savings and lifetime extensions are possible using DSC under different deployment models and varying data correlation structures. Furthermore, we derive enhanced pseudo-random deployment models that exploit different amounts of a priori information. Those models lead to significantly optimised initial network deployments which can be subsequently used with other existing optimisation techniques. The derived comprehensive framework enables thorough and realistic evaluation of WSNs even on bit-level. Overall the energy-efficiency, sensing coverage and lifetime of WSNs are strongly improved by our suggested deployment strategy.

Online publication date: Thu, 16-Feb-2012

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com