A CLUSTERED SLEPIAN-WOLF CODING MECHANISM FOR DATA AGGREGATION IN WIRELESS SENSOR NETWORKS
In wireless sensor networks, much correlated data has been collected and transmitted to the sink. However, since too much redundancy exists in the correlated data, it will cost more and unnecessary energy consumption. Slepian-Wolf coding is a source coding technique that can completely remove the data redundancy, however, a perfect complete knowledge of the correlation between the sources should be as a prior of it which is very difficult to implement. In this paper, a clustered Slepian-Wolf coding mechanisM is proposed. Firstly, a grid based data correlation clustering mechanism(GDC2) is proposed, by sending the cluster heads reading, the member node select the node as its head which has the minimum difference with its own reading and relative short distance. Secondly, the intra-cluster rate allocation of Slepian-Wolf coding is discussed analogized with the whole network rate allocation. Finally, through Theoretical analysis it can be proved that the proposed mechanism can achieve a good energy saving.
data compression cluster Slepian-Wolf coding wireless sensor network
Song Yang Zhikui Chen
Software School Dalian University of Technology Dalian, Liaoning, China
国际会议
The 2nd Joint FWOCNT International Workshop 2009(第二届前沿无线通信、光通信与网络技术国际研讨会暨第十四届青通会论坛)
大连
英文
1-5
2009-07-24（万方平台首次上网日期，不代表论文的发表时间）