Energy-Efficient Resource Allocation in Wireless Energy Harvesting Sensor Networks

Abstract

Increasing the sensor's lifespan is a major barrier to the major spreading use of wireless sensor networks (WSNs). The mentioned problem is fixed by implementing Energy Harvesting (EH) sensors. Their usable lives could be increased by finding the energy they require from their surroundings in a number of different ways. We take into account a Wireless Energy Harvesting Sensor Network (WEHSN) based on TDMA where the time slot consists of two-time intervals, the first of which is utilized for sensor data transmission and the second of which is utilized for energy absorption. We analyze the effective resource allocation in WEHSN, in which energy harvest sensors be permitted for broadcasting their output stream if the quantity of energy it has gained exceeds the amount of power it has consumed, under consideration of things such as planning of timer and TX power usage. The closed-form equation of the energy efficiency modification issue is created using the Dinkelbach method, and it is then converted in to the parametric form. The new problem is then solved using Karush- Kuhn-Tucker criteria. The analytical solutions show that the suggested strategy is viable. Key Words: Energy Efficiency, Resource Allocation, Energy Harvesting, Wireless Sensor Networks.