Multiple Sink Based Compressive Data Aggregation Technique for Wireless Sensor Network
Mohamed Yacoab M.Y, V. Sundaram · International Journal of Wireless & Mobile Networks · 2011
In a wireless sensor network, the single sink based data aggregation technique leads to inefficiency due to imbalance in energy consumption.Moreover it induces scalability problems and overload at the sink, since it is a "many to one" pattern.Hence, in this paper, we develop a multiple sink based data aggregation technique, assuming the sinks are static.In this technique, initially a sink oriented tree is determined for each sink.If the amount of data in the network becomes large, the data is transmitted in the slots allocated for the specific part of the data such that interference is avoided in the data transmission.As data gets aggregated at the nodes which are nearer to the sink it will be compressed and then forwarded to the next level.This way data is efficiently transmitted to the sink without any loss and interference.By simulation results, we show that our proposed technique achieves good packet delivery ratio with reduced energy consumption and delay.