Abstract: Due to the node resource constraints in Wireless Multimedia Sensor Networks(WMSNs), this paper proposes a Walsh-Hadamard based adaptive distributed image compression algorithm. According to accurate channel state estimating and adaptive quantization table, it ensures image quality to meet the application with a higher compression ratio. Simulation results show that the algorithm can extend the network life cycle in resource-constrained nodes deployed in dense WMSNs.

Key words: Wireless Multimedia Sensor Networks(WMSNs), Walsh-Hadamard transformation, Discrete Cosine Transformation(DCT), distributed compression

摘要： 根据无线多媒体传感器网络(WMSNs)中节点资源受限的特点，提出一种自适应的基于Walsh-Hadamard变换的分布式图像压缩算法。基于信道状态的准确估计，自适应调整量化表，在保证图像质量满足应用的前提下，获得更高的压缩比率。仿真结果表明，该算法在资源受限、节点部署密集的WMSNs中，可延长网络的生命周期。

关键词: 无线多媒体传感器网络, Walsh-Hadamard变换, 离散余弦变换, 分布式压缩

CLC Number: 

• TP212.9