Abstract—Wireless Sensor Networks (WSN) have widespread
applications, ranging from the industrial automation to the
home applications, a result of their higher enhanced capabilities
and im-proved cost-efficiency. However, there may not be
enough resources to process those applications. So raising the
energy efficiency of WSN is a paramount objective to extend the
lifetime of the sensors network. This paper presents the
methodologies followed to develop effective techniques to save
the energy consumption of the WSN at the system level and
under time constraints. This approach is based on an interplay
of online strategies to manage the energy at a local level, as well
as a scheduling policy that exploits effectively the resources at
the global level. The autonomous power manager combines the
Dynamic Power Management (DPM) with a Dynamic Voltage
and Frequency Scaling (DVFS) that will be validated using the
STORM simulator.
Index Terms—Wireless sensor network (WSN), energy
efficiency, DVFS, DPM, scheduling, modeling.
The authors are with the National School of Engineers of Sfax,
Computer and Embedded System Laboratory, University of Sfax, Tunisia
(e-mail: cheourr@gmail.com, wassim.jmal@gmail.com, Mohamed.
Abid@enis.rnu.tn)
[PDF]
Cite: Rym Che´our, Mohamed Wassim Jmal, and Mohamed Abid, "Modeling and Simulation of an Autonomous
Power Manager for Sensor Networks," International Journal of Modeling and Optimization vol. 6, no. 4, pp. 256-260, 2016.
