A Data Fusion Algorithm Based on Bayes Sequential Estimation for Wireless Sensor Network
Zhang Shu-kui①②; Cui Zhi-ming①; Gong Sheng-rong①; Sun Yong①; Fang Wei①②
①School of Computer Science and Technology, Soochow University, Suzhou 215006, China;②Jiangsu Key Laboratory of Computer Information Processing Technology, Soochow University, Suzhou 215006, China
Abstract：Mobile Agent(MA) is more suitable for wireless sensor networks than the C/S model in data fusion. In MA based data fusion, the order of nodes visited along the route by MA has a significant impact on the algorithm efficiency and life time of wireless sensor networks. This paper proposes a Mobile Agent Data Fusion (MADF) algorithm based on bayes sequential estimation for wireless sensor networks. By designing data packet and data table with specific structure, and considers MA in multihop environments and adopts gradient of Bayes sequential estimation to dispatch MA. MA accounts for performing data processing and making data aggregation decisions at nodes rather than bring data back to a central processor (sink), redundant sensory data will be eliminated. Theoretical analysis and experimental results show that the proposed scheme is able to provide less energy consumption and network delay compared to directed diffusion schemes.
张书奎; 崔志明; 龚声蓉;孙 涌; 方 巍. 基于Bayes序贯估计的无线传感器网络数据融合算法[J]. 电子与信息学报, 2009, 31(3): 716-721 .
Zhang Shu-kui①②; Cui Zhi-ming①; Gong Sheng-rong①; Sun Yong①; Fang Wei①②. A Data Fusion Algorithm Based on Bayes Sequential Estimation for Wireless Sensor Network. , 2009, 31(3): 716-721 .
2009, Vol. 31 
