A Dynamic Routing Based on Bayes Estimation for Wireless Sensor Networks

The nodes awareness information efficiently distributed is one of the core features for wireless sensor networks. This paper systematically researched some key problems about the reliable data transmission, which is closely related with each other and may directly affect the transmission effectiveness and energy consumption. The main research of this paper is as follows: Mobile Agent (MA) is suitable in data fusion for wireless sensor networks. The order of nodes visited along MA route based on data fusion has a significant impact on the algorithm with the efficiency and the life time of wireless sensor networks. This paper proposed a new MA data fusion algorithm based on Bayes estimation for wireless sensor networks. Consider MA in multihop environments and adopt the gradient of Bayes sequential estimation to dispatch MA by designing the data packet and table with the specific structure. MA accounts for performing data processing and making data aggregation decisions at nodes rather than bringing data back to node Sink, and the redundant sensory data will be eliminated.