An efficient data aggregation scheme in wireless sensor networks

Abstract

In wireless sensor networks, the periodically reporting data collection mechanism comes at the cost of power consumption and packet collision. In this paper, we proposed an automatic time series modeling based data aggregation scheme in wireless sensor networks. The main idea behind this scheme is to decrease the number of transmitted data values between sensor nodes and aggregator by using time series prediction model. The proposed scheme can effectively save the precious battery energy of wireless sensor node while keeping the predicted data values of aggregator within application defined error threshold. We show through experiments with real data that the predicted values of our proposed scheme fit the real sensed values very well and fewer messages are transmitted between sensor node and aggregator. © 2012 Springer-Verlag.