一种分簇无线传感器网络中的分布式信源编码算法
doi: 10.3724/SP.J.1146.2012.00723
A Distributed Source Coding Algorithm for Clustering Wireless Sensor Networks
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摘要: 针对密集型无线传感器网络中信息存在大量冗余的问题,该文提出了一种适用于分簇无线传感网络的分布式信源编码算法。该算法以边信息作为初始参考信源,利用信源间的相关性来决定各信源的编码顺序和参考信源,然后由各信源相对于参考信源进行相关编码,接收端则根据编码顺序和参考信源进行相关译码。该文同时针对模值编码的方式,给出了一种低复杂度的译码算法。理论分析和仿真结果表明,将该算法应用于分簇路由协议中可以有效地降低节点的发送比特数,从而降低网络的能耗以延长网络寿命。
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关键词:
- 无线传感器网络 /
- 分布式信源编码 /
- Slepian-Wolf编码 /
- 相关度
Abstract: In order to remove the vast information redundancy in dense Wireless Sensor Networks (WSN), a distributed source coding algorithm for clustering WSN is proposed. The algorithm uses the correlation among the sources to define the coding sequence and their reference source with the side information as the initial reference source and each source codes its data with respect to its reference source, and the receiver decodes the data according to the coding sequence and reference source. In addition, a decoding algorithm with low complexity for modulus coding is given. The analysis and simulation results show that the proposed algorithm applied to clustering routing protocol can effectively reduce the number of bits to be sent, and thereby decrease the energy consumption of network and prolong the network lifetime.
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