Probabilistic Methods based on Energy's Threshold in Switching Mode of Mobile Wireless Sensor for Surveillance Application

The continuity running of the sensor network on limited energy resources constitutes a real challenge for researchers. In fact, many schemes have been proposed to economize the wasted energy of this latter. However, most of them are proposed for static network. In this article we propose threshold formula and we present two probabilistic methods to reduce the energy consumption and at the same time improve the latency in mobile wireless sensor network surveillance applications, based ZebraNet. The first is PMFT for Probabilistic method with fixed threshold. The second is PMVT for probabilistic method with varying threshold. PMFT defines a fixed threshold for all nodes, which is calculated using Poisson distribution. Whereas, PMVT uses a variant threshold for each node with taking into account the mobility pattern and the residual energy of each sensor. The experimental evaluation shows that our methods outperform conventional methods, in terms of consumed energy and end to end delay in spite of the sensors mobility.