无线传感器网络基于置信因子的数据分发机制

Data Dissemination Model Based on Confidence Coefficient in Wireless Sensor Networks

无线传感器网络中节点的能量大部分用来传输数据,为减少数据的传输量,同时不增加数据包的延迟,提出了基于置信因子的数据分发概念.由于置信因子由传感器节点根据所感知的数据产生,反映了数据的真实性和重要性,从而设计了一种基于置信因子的发送退避策略和传输过滤器,解决了保证重要数据的优先信道访问权和减少冗余数据传输量的问题.大量仿真证明,这种数据分发机制在减少网络能耗和重要数据的时延方面是有效的.

Energy of nodes in wireless sensor networks （WSNs） was spent on delivering the packets mostly. In order to decrease the number of packets, but not increase the time delay simultaneously, a model of data dissemination based on confidence coefficient was presented. Confidence coefficient was generated by the node based on the data sensed, and represented the authenticity and importance of the data. A backoff algorithm and a transmission filter based on the confidence coefficient were designed also. Extensive simulations testified that the model was effective in decreasing energy consumption of the node and time delay of the important data.