Abstract:

More and more wireless sensor networks are applied to a variety of applications for accurate monitoring. Duo to the high node deployment density,and the data periodically generated by nodes,there are many redundant data in the network,whose transmission consumes large amounts of energy. In order to reduce data transmission amount in the network and the communication overhead,a routing protocol for in-network aggregation based on spatio-temporal correlation in WSN named TS-INDAR is proposed. The amount of data transmission in the network is reduced by employing the in-network aggregation technology and spatio-temporal correlation protocol. TS-INDAR establishes maximum overlap routing trees to improve the chance of data aggregation, and the data with spatio-temporal correlation are controlled through regional and temporal suppression.The size of the correlation region is adjusted according to the distance between the center of the event area and the sink node.Compared with the existing routing protocols,TSINDAR decreases the amount of data transmission in network,and reduces the communication overhead .The simulation results show that,TS-INDAR ensures the accuracy of monitoring data, and the energy consumption of the network is reduced by 25% compared with the DRINA algorithm, and is 11.6% lower than the EAST algorithm.

Key words: wireless sensor network；data aggregation；spatiotemporal correlation；routing protocol