An Efficient Data Aggregation Algorithm for WSNs Based on Dynamic Message List

Energy efficiency is an important demand of Wireless Sensor Networks (WSNs). Through data aggregation, energy efficiency will be improved by filtering wrong information and merge redundant ones. If invalid transmitting is cut down, the nodes’ energy will be consumed and the utilization of wireless channel will be increased. Designing data aggregation algorithm is one of the most efficient research fields to improve WSNs’ performance. In this paper, a new data aggregation algorithm named ERDL (Efficient and Real time algorithm based on Dynamic message List) is proposed. ERDL works based on network layer of WSNs, and a dynamic list will be created in filtering node to store history messages ever relayed by this node. All messages in WSNs will be judged whether reduplicated or not according to the contents in list. In ERDL the filtering efficiency is improved, and the real time performance of transmitting is also ensured. At last, a series experiments are simulated to prove the performance of ERDL