Information Redundancy Suppression-based Energy Efficient Clustering Algorithm in Sensor Networks
Yan Ku · Microcomputer Information · 2010
Towards the drawbacks of existing clustering algorithms in exploiting the characteristics of data redundancy in emerging period collecting sensor networks,a novel energy efficient clustering algorithm,named ISCA,is proposed based on the idea of redundancy information depression.In the cluster forming stage,ISCA elects the cluster head by metrics of data collection credit and the residual energy information.In the data transmission stage,ISCA performs both temporal and spatial data suppression with redundancy information to reduce unnecessary data transmissions.Experimental results show that: ISCA can not only prolong the network lifetime substantially,but shows its scalability with different network sizes and different deployment densities.