An adaptive neighbour detection scheme for rapid configuration of wireless sensor networks
by Jian Qiu; Paul Mitchell; David Grace; Bing Lin; Guojun Dai
International Journal of Sensor Networks (IJSNET), Vol. 18, No. 3/4, 2015

Abstract: The purpose of this paper is to represent an adaptive neighbour detection scheme for rapid sensor network configuration, especially in wireless sensor network (WSN) systems. In typical WSNs, the sensor nodes have no knowledge about the locations of other nodes and the connections between them after deployment. For the purpose of network configuration and future data transmission schedule assignments, neighbour detection process should be carried out, but this work are usually ignored in most communication protocol designs. In our real network establishment, it is proved that neighbour detection is critically important at the beginning configuration state of the entire network and when the topology is changed. Therefore, an adaptive neighbour detection scheme is introduced, which uses signalling packet broadcasting and the corresponding adaptive back-off mechanism to guarantee a high connectivity detection probability. The work is verified by simulation and testbed experiments, and has been used in practical large scale sensor networks.

Online publication date: Sun, 05-Jul-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