Energy efficient data gathering for WSN-based context-aware applications
by Meng-Shiuan Pan; Lei Jing
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 25, No. 1/2, 2017

Abstract: To save power, many previous works propose to use wake-up scheduling to support energy efficient data gathering in wireless sensor networks (WSNs). However, these works can only work well for regular data patterns. In many WSN-based context-aware applications, the network may randomly have some events, which may be urgent alarms or instant signals. Assume that the time is divided into fixed-length slots, and n consecutive slots are grouped as a frame. We propose a new wake up and sleep model for nodes such that nodes only wake up in some slot periodically. In this work, we design a two-phase scheme to support both regular and event data reporting, and the goal is to minimise regular report, event detection, and event reporting latencies. In the designed scheme, the first phase assigns each node one regular slot and several event slots by considering how to reduce above three kinds of latencies. In the second phase, nodes operate in a distributed manner to sense and report regular or event data. Simulation results show that our designs can indeed achieve our goal.

Online publication date: Sat, 08-Apr-2017

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