Efficient Transmission Power Control for Energy-harvesting Cognitive Radio Sensor Network

Abstract

The rapid expansion of wireless sensor technology triggers several interesting applications. Given the small power capacity of a sensor, energy harvesting is an inevitable approach to extend the lifetime of the sensor nodes. In this paper, a distributed transmission power control mechanism for the energy harvesting cognitive radio sensor network (EH-CRSN) is proposed. The main concept is to adjust the transmission power of the nodes dynamically based on the network condition to maintain network connectivity. Each node decides to increase or decrease its transmission power dynamically based on several parameters such as its available power and neighboring nodes available power. This dynamic transmission power adjustment transforms the network logical topology to adjust with the power condition of network better. The transmission power control is tested in two scenarios; flat network and clustered network. Extensive simulation results show that by using of the proposed transmission power control method we can improve network end-to-end performance.