Energy efficient aggregate monitoring for sensor fields with time-varying statistics Online publication date: Tue, 27-Sep-2016
by Esmaeil Biazar Amlashi; Ahmad Khonsari; Samaneh Heidari; Ronak Amani
International Journal of Sensor Networks (IJSNET), Vol. 22, No. 1, 2016
Abstract: Monitoring in wireless sensor networks (WSNs) has been considered an issue of important value in research community. Reactive monitoring mechanisms are important in WSNs because of their low energy consumption. The energy efficiency of such mechanisms is relying on setting proper thresholds that act as the parameters of distributed local filters. In this paper, we address how to appropriately design local filters for reactive aggregate monitoring scenarios in random sensor fields with dynamic statistics. Since previous optimal local filter designs are proposed for stationary fields, they cannot work efficiently in the presence of statistical variations in the sensor field. We propose dynamic sigmoid approximated threshold assignment (D-SATA) algorithm, which is a distributed algorithm that adapts the optimal local filter design to the variation of statistics of sensor field. Simulation experiments confirm that the offered monitoring mechanism of D-SATA is efficient in terms of overhead burden to the network.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Sensor Networks (IJSNET):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook