Cluster Method For Sensor Networks Using Hybrid Cluster Algorithm

Abstract

Wireless sensor network denotes to a cluster of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location.Some of the common applications of wireless sensor networks are monitoring of temperature, sound, humidity, earth monitoring, and forest fire detection. In this paper, it is proposed a clustering method that uses hybrid Compressive Sensing for sensor netwroks. Compressive sensing (CS) method can decrease the number of data transmissions and balance the traffic load throughout networks. However, the total number of transmissions for data collection by using pure CS is still large. The hybrid method of using CS was proposed to reduce the number of transmissions in sensor networks. The sensor nodes are organized into clusters. Within a cluster, nodes transmit data to cluster head (CH) without using CS. CHs use CS to transmit data to sink. It is first proposed an analytical model that studies the relationship between the size of clusters and number of transmissions in the hybrid CS method, aiming at finding the optimal size of clusters that can lead to minimum number of transmissions. Then, it is proposed to implement a centralized clustering algorithm based on the results obtained from the analytical model.