A decentralised linear programming approach to energy-efficient event detection
by Kun Yuan; Qing Ling; Zhi Tian
International Journal of Sensor Networks (IJSNET), Vol. 17, No. 1, 2015

Abstract: This paper addresses the problem of decentralised event detection in a large-scale wireless sensor network (WSN), where without the coordination of any fusion centre, sensor nodes autonomously make decisions through information exchange with their neighbours. We formulate the event detection problem as a linear program, and propose a heuristic decentralised linear programming (DLP) approach to solve it. Compared to the existing algorithms which solve decentralised optimisation problems, the DLP algorithm requires low communication cost per iteration and shows fast convergence. Convergence property of the DLP algorithm is theoretically analysed, and then validated through simulation results. We also implement the DLP algorithm in the structural health monitoring application and demonstrate its effectiveness in decentralised event detection.

Online publication date: Thu, 19-Feb-2015

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 Sensor Networks (IJSNET):
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