A Two-Level Clustering based on Position, Data Correlation and Residual Energy in WSN

Clustering WSN nodes has been a key solution to reduce the energy consumption of sensor nodes and thus to prolong the network lifetime. A new two-level clustering algorithm is here proposed. It first exploits data measurement correlation and sensor nodes’ locations to partition the network into sub-regions with highly correlated data. Second, a residual energy based clustering is performed to divide each region into clusters. The simulation...