Document Type
Conference Proceeding
Publication Date
9-2008
Place of conference
Portland, Oregon
Conference Sponsor
ICPP
Abstract/ Summary
Power minimization is a serious issue in wireless sensor networks to extend the lifetime and minimize costs. However, in order to gain an accurate understanding of issues regarding power minimization, modeling techniques capable of accurately predicting energy consumption are needed. This paper demonstrates that Petri nets are a viable option of modeling a processor. In fact, this paper shows that the Petri nets’ accuracy surpasses a Markov model utilizing supplementary variables to account for constant delays.
Repository Citation
Shareef, Ali and Zhu, Yifeng, "Energy Modeling of Processors inWireless Sensor Networks based on Petri Nets" (2008). Graduate Student Scholarly and Creative Submissions. 3.
https://digitalcommons.library.umaine.edu/gradstudent_pub/3
Version
pre-print (i.e. pre-refereeing)