Dynamic control policy for wireless sensor networks

In order to minimize the total load cost of neighboring exchange information, we focus on the problem of beacon information update rate. It is vital to determine the quality of service (QoS) performance of wireless sensor networks through proactive network monitoring and reconfiguration. The rate of beacon exchange and its contents delineate the time and nature of the proactive action. It is important to optimize these parameters to development the functional response of the self-configuration networks. This paper presents a novel beacon exchange selection model based on load-adaptive optimization of beacon exchange rate. Simulation results show this algorithm improves the Quality-of-Service (QoS) of the networks by improving the exchange rate for monitoring and proactively reconfiguring the network.