Energy-efficient tree-based cooperative data aggregation for wireless sensor networks
by Gang Liu; Liusheng Huang; Hongli Xu; Xueyong Xu; Yang Wang
International Journal of Sensor Networks (IJSNET), Vol. 13, No. 2, 2013

Abstract: Cooperative communication is shown to be a promising technology to significantly reduce the energy consumption. Moreover, data aggregation is an essential operation in wireless sensor networks where the tree-based underlying network structure is often used to support this operation. Thus, this paper studies the energy efficient data aggregation problem through cooperative communication with the aware tree-based topology structure in wireless sensor networks. We first design a polynomial time centralised algorithm to solve this problem. This algorithm starts from an arbitrary aggregation tree and determines the optimal transmission policy and the corresponding time slot for each node to transmit the aggregation data to its father node. We also prove the optimality for this algorithm. Then, a distributed algorithm is proposed in which each node can determine its transmission policy and time slot with only local information. The energy efficiency of the proposed algorithms is evaluated and verified by simulations.

Online publication date: Sun, 05-May-2013

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