SDAM: A New data Aggregation Approach for Wireless Sensor Networks
In this paper, a novel scalable scheme, Scalable Data Aggregation Monitoring (SDAM), is proposed for efficient data gathering with aggregation (fusion) in Wireless Sensor Networks (WSN). Different from existing schemes, SDAM not only optimizes data transmission cost, but also incorporates the function of data fusion, which is crucial for emerging sensor networks with data management and high availability requirements. Employing a randomized algorithm that allows fusion points to be chosen by nodes data amount, SDAM can achieve high availability for sensor nodes, which results the optimal solution for nowadays system setup. Simulation results demonstrate that SDAM scheme can reflect the node status promptly, and save the network throughput of sensor nodes. Therefore, the lifetime of WSN is significantly extended.
sensor networks data aggregation zone monitoring timestamp
Hang Qin Hui Wang Huaibei Zhou
Software Engineering State Key Laboratory Wuhan University Wuhan 430072, China International School of Software Wuhan University Wuhan 430072, China
国际会议
上海
英文
2007-09-21（万方平台首次上网日期，不代表论文的发表时间）