Traffic Load Constrained Routing Algorithm for Wireless Sensor Networks

Abstract

As the traffic load control is very important for the task scheduling in wireless sensor networks, this paper discusses how to design an effective routing algorithm for wireless sensor networks with traffic load constrained. Firstly, internal structure of a sensor node in wireless sensor networks is analyzed. Secondly, how to design an effective traffic load constrained routing algorithm for wireless sensor networks based on the hybrid multi-hop mode is discussed. In the proposed algorithm, the depth potential field and queue length field are defined, and then we integrate them through linear combination. Afterwards, we utilize a structure which is made up of real numbers to represent the chromosomes, and then achieve the traffic load constrained routing decision with based on the genetic algorithm. To avoid traffic congestion, the proposed algorithm can distribute the concentrated traffic to the available neighbor sensor nodes. Finally, simulations are conducted to make performance. Compared with other existing routing algorithm, the proposed can effectively make the routing decision for wireless sensor networks without traffic congestion.