Energy Efficient Resource Allocation in Wirel...

Energy Efficient Resource Allocation in Wireless Energy Harvesting Sensor Networks

Author Name : Lakshmi R, Arul Priya S, Deepa C, Gowsika B, Jeevitha B

ABSTRACT

The energy harvesting cognitive wireless sensor network (EHCWSN) introduces energy harvesting technology and cognitive radio technology into the traditional wireless sensor network (WSN), which significantly prolongs the working life of the sensor node and effectively alleviates the congestion problem of the unlicensed spectrum. Due to the uncertainty of the energy harvesting process and the behavior of the primary user (PU), how to allocate and manage limited network resources is a crucial problem in the EHCWSN. In this work, a new Q-learning based channel selection method is proposed for the energy harvesting process and the randomness of the PU’s behavior in the sensor network. By continuously interacting and learning with the environment, the method guides the secondary user (SU) to select the channel with better channel quality. This proposed design is done by Network simulator 2 by using Tcl script. 

Keywords— Energy Harvesting, Resource Allocation, Energy Efficiency, Wireless Sensor Networks, Network simulation.