Adaptive and Energy Efficient Clustering Architecture for Dynamic Sensor Networks

Abstract

Clustering is an effective topology control approach in sensor networks. This paper proposes a distributed and adaptive clustering architecture for dynamic sensor networks. The proposed architecture comprises an approach for energy-efficient clustering with adaptive node activity for achieving a good performance in terms of system lifetime and network coverage quality. This architecture demonstrates a uniform cluster head distribution across the network in addition to a desirable network coverage. Furthermore, the paper presents an analytical approach to disclose the relationship between network density and coverage quality. Experiments were conducted to validate the proposed architecture. The analytical and simulation results demonstrate that the proposed architecture prolongs network lifetime meanwhile preserving a highly coverage quality.