Document Type

Conference Proceeding

Publication Title

Proceedings of The 39th International Conference on Parallel Processing (ICPP 2010)

Publication Date


Place of conference

San Diego, CA

Conference Sponsor


Abstract/ Summary

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.


post-print (i.e. final draft post-refereeing with all author corrections and edits)