An Unequal Clustering Strategy for WSNs Based Urban Intelligent Transportation System

摘要

Clustering routing protocols are one of the critical problems in Intelligent Transportation System (ITS). This paper proposed a novel Unequal Clustering Protocol for the Intelligent Traffic information collection (UCPIT) in ITSs which aims to balance the energy consumption of the network. Our approach focuses on the points include unequal clustering scheme, inter-cluster routing and cluster radius optimization. At first, a hybrid network structure is adopted which is the combination of the chain structure and the unequal clusters structure. Furthermore, we introduce an inter-cluster routing protocol based on the improved SFLA (Shuffled Frog Leaping Algorithm) in this structure, and the cluster radius optimization strategy is also produced. Simulation results have indicated that UCSNP has better performance than the modified EEUC and the aggregation scheme we proposed before such as the energy consumption and convergence, and it is suited for ITSs.