Efficient power distribution model for IoT nodes driven by energy harvested from low power ambient RF signal

In IoT scenario, wireless sensor nodes are acquiring data from remote location and transmitting it to the centralized node which process the data. Energy scavenging from the ambient RF source is the reliable, low cost approach and it keep node alive. Since available power is around −30 dbm for ambient RF, effective usage of battery by the node is important. In this paper, a power distribution method based on NASH bargaining solutions is proposed to efficiently use the nodes with the least available. Also the available antenna technologies are reviewed and optimal design is suggested for maximum extraction of energy from the low power RF signal. Using this approaches battery-powered sensor nodes can meet the design goals of life span, total price, special power perceiving, transmission coverage and consistency. The proposed method is validated with other reported methods and it has been found that the proposed NASH bargaining method significantly improve the energy efficiency, network life time and throughput rate.