A new adaptive clustering technique for large-scale sensor networks

In the development of various large-scale sensor systems, a particularly challenging problem is how to dynamically organize these sensors into wireless communication networks. This paper presents an adaptive energy-efficient clustering (AEEC) technique for networking large-scale sensor systems. By monitoring the minimum received signal power from other nodes, each node estimates the number of active nodes in real-time and computes its optimal probability of becoming a cluster head. So that the amount of energy can be minimized, which is consumed in both intra- and inter-cluster communications. The new clustering algorithm scales well and converge fast for large-scale dynamic sensor networks, as shown by the simulation results.