Effective Stochastic Modeling of Energy-Constrained Wireless Sensor Networks
Energy consumption of energy-constrained nodes in Wireless Sensor Networks (WSNs) is a fatal weakness of these networks. Since, these nodes usually operate on batteries, the maximum utility of the network is dependent upon the optimal energy usage of these nodes. However, new emerging optimal energy consumption algorithms, protocols, and system designs require an evaluation platform. This necessitates modeling techniques that can quickly and accurately evaluate their behavior and identify strengths and weakness. The authors propose Petri nets as this ideal platform. They demonstrate Petri net models of wireless sensor nodes that incorporate the complex interactions between the processing and communication components of a WSN. These models include the use of both an open and closed workload generators.