Proceedings of The 39th International Conference on Parallel Processing (ICPP 2010)
Place of conference
San Diego, CA
Energy minimization is of great importance in wireless sensor networks in extending the battery lifetime. Accurately understanding the energy consumption characteristics of each sensor node is a critical step for the design of energy saving strategies. This paper develops a detailed probabilistic model based on Petri nets to evaluate the energy consumption of a wireless sensor node. The model factors critical components of a sensor node, including processors with emerging energy-saving features, wireless communication components, and an open or closed workload generator. Experimental results show that this model is more flexible and accurate than Markov models. The model provides a useful simulation platform to study energy saving strategies in wireless sensor networks.
Shareef, Ali and Zhu, Yifeng, "Energy Modeling of Wireless Sensor Nodes Based on Petri Nets" (2010). Graduate Student Scholarly and Creative Submissions. 2.
post-print (i.e. final draft post-refereeing with all author corrections and edits)