摘要
由于水下无线传感器网络(UWSNs)工作环境的特殊性,降低节点能耗和保证数据收集的实时性是至关重要的问题。提出一种基于压缩感知(CS)的移动数据收集方案。以DEBUC协议和CS理论为基础,簇内节点依据设计的稀疏测量矩阵决定是否参与压缩采样,并将获得的测量值传输至簇头。通过AUV的移动来收集各个簇头上的数据到数据中心,该问题被建模为带有邻域的旅行商问题,并提出了近似算法进行求解。在数据中心处利用CS重构算法进行数据重构。仿真实验结果表明:相比于已有的水下移动数据收集算法,该方案在保证数据收集可靠性的同时,降低了数据收集延时,延长了网络寿命。
Due to special applying environment,reducing energy consumption of nodes and guarantee real-time of data collection is critical issues for underwater wireless sensor networks（ UWSNs）. A mobile data collection scheme based on compressive sensing（ CS—MDC） is proposed. On the basis of distributed energy-balanced unequal clustering（ DEBUC） protocol and compressive sensing theory,cluster nodes decide whether to participate in compressive sampling according to the designed sparse measurement matrix,and transmit obtained measurement value to cluster head. Data at cluster head is collected by movement of autonomous underwater vehicle（ AUV） and transmitted to data center,which is modeled as traveling salesman problem（ TSP） with neighborhoods,and an approximate algorithm is proposed to solve this problem. Data is reconstructed by using compressive sensing reconstruction algorithm at data center. Simulation results show that,compared with existing underwater mobile data collection algorithms,the proposed scheme effectively reduce data collection delay and prolongs lifetime of network,at the same time,assure reliability of data collection.
出处
《传感器与微系统》
CSCD
2016年第5期49-51,63,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61472449
61173169
61402542)
关键词
水下无线传感器网络
压缩感知
移动数据收集
测量矩阵
能耗
延时
underwater wireless sensor networks（UWSNs）
compressive sensing（CS）
mobile data collection（MDC）
measurement matrix
energy consumption
delay
