CAJ | 학술논문

无线多媒体传感器网络（WMSNs）中传感器节点采集的数据量非常大，在传输前需对大数据量的多媒体信息进行压缩处理。但是单节点能源受限，存储、处理能力相对较弱。针对无线多媒体传感器网络应用的高效、低耗能的需求这些问题．在图像压缩双正交重叠变换（LBT）的基础上，文中提出了一种基于此变换的分布式无线多媒体传感器网络图像压缩算法。即基于簇结构，把压缩任务分配给其他节点，通过多个节点相互协作，共同完成图像的压缩编码和传榆。实验结果表明，在传感器节点散布不均且较为密集的情况下，该算法在高质量、低复杂度和低功耗等方面都有了很大的性能提高。
무선다매체전감기망락（WMSNs）중전감기절점채집적수거량비상대，재전수전수대대수거량적다매체신식진행압축처리。단시단절점능원수한，존저、처리능력상대교약。침대무선다매체전감기망락응용적고효、저모능적수구저사문제．재도상압축쌍정교중첩변환（LBT）적기출상，문중제출료일충기우차변환적분포식무선다매체전감기망락도상압축산법。즉기우족결구，파압축임무분배급기타절점，통과다개절점상호협작，공동완성도상적압축편마화전유。실험결과표명，재전감기절점산포불균차교위밀집적정황하，해산법재고질량、저복잡도화저공모등방면도유료흔대적성능제고。
In wireless multimedia sensor networks（WMSNs） ,The amount of image data gathered by camera nodes is very large. They need to be compressed and processing before transmission.But the memory,computation and energy limitation of individual sensor nodes. In order to overcome the low-power and high image quality requirements of WMSN,this paper studies the Lapped Biorthogonal Transform （LBT） theory and proposes a distributed image compression algorithm based on LBT in WMSNs. In this algorithm,based on the clustering architecture,multi-nodes sharing the compression task of image compression results show that this distributed algorithm can greatly reduce the hardware cost and the energy consumptions in WMSNs.The lifetime of the WMSNs can also be prolonged many times in the case of the sensor nodes deployed densely.