Transmission Efficient Data Gathering Using Compressive Sensing in Wireless Sensor Network
Compressive sensing (CS) can decrease the figure of data transmissions and balance the traffic load throughout networks. However, the overall transmissions for data gathering by using pure CS are still huge. The hybrid method of using CS was projected to decrease the figure of transmissions in sensor networks. However, the preceding works utilize the CS method on routing trees. In this paper, we plan a clustering technique that uses hybrid CS for sensor networks. The sensor nodes are ordered into clusters. Inside a cluster, nodes send out data to cluster head (CH) not including CS. CHs use CS to transmit data to sink. We first suggest an analytical model that studies the correlation between the number of transmissions and size of clusters. In the hybrid CS method, main aim is to finding the most favourable size of clusters that can lead to least number of transmission. Then, we propose a centralized clustering algorithm based on the results obtained from the analytical model. At last, we present a circulated implementation of the clustering method. Extensive simulations confirm that our method can decrease the number of transmissions extensively.
Vitthal Yenkar, Prof.Dinesh Datar