Adaptive Delay and Energy Aware Data Aggregation Technique in Wireless Sensor Networks

Abstract

In wireless sensor networks, data aggregation is performed to eliminate redundant data transmission and to enhance the network life time. The existing data aggregation techniques rarely consider the different types of applications like critical and non-critical. Also they are generally energy aware in nature but not delay aware. To minimize the delay and energy consumption in the data aggregation, this paper proposes an adaptive data aggregation technique. We consider three types of application data namely critical, bursty and regular. When the data type is critical, a shortest path with minimum delay is constructed and the critical data is transmitted directly towards the sink. In case of bursty data, the structure free data aggregation technique is used and it gets fractional aggregation. For regular data, an energy efficient aggregation tree is constructed. By simulation results, we show that the proposed technique significantly reduces the end-to-end delay, energy consumption and overhead.