A COST EFFECTIVE COMPRESSIVE DATA AGGREGATION TECHNIQUE FOR WIRELESS SENSOR NETWORKS

In wireless sensor network (WSN) there are two main problems in employing conventional compressiontechniques. The compression performance depends on the organization of the routes for a larger extent. The efficiency of an in-network data compression scheme is not solely determined by the compressionratio, but also depends on the computational and communication overheads. In Compressive DataAggregation technique, data is gathered at some intermediate node where its size is reduced by applyingcompression technique without losing any information of complete data. In our previous work, we havedeveloped an adaptive traffic aware aggregation technique in which the aggregation technique can bechanged into structured and structure-free adaptively, depending on the load status of the traffic. In thispaper, as an extension to our previous work, we provide a cost effective compressive data gatheringtechnique to enhance the traffic load, by using structured data aggregation scheme. We also design atechnique that effectively reduces the computation and communication costs involved in the compressivedata gathering process. The use of compressive data gathering process provides a compressed sensorreading to reduce global data traffic and distributes energy consumption evenly to prolong the networklifetime. By simulation results, we show that our proposed technique improves the delivery ratio whilereducing the energy and delay