Abstract

The usage of emerging wireless technologies increases the demand for energy and data transfer. The recent development in wireless sensor networks (WSNs) and enactment with the intelligent sensor in many applications, especially electronic instrumentation needs a sufficient amount of power for node devices. Thus, energy harvesting (EH) is resourceful from surrounding electromagnetic sources that transmit energy freely. This paper discusses energy efficiency (EE) trade-offs and EE maximization for wireless power and information transfer for WSNs. Furthermore, the power splitting (PS) scheme investigated and EE maximization analyzed for simultaneous wireless information and power transfer (SWIPT). This work formulates an optimization problem to maximize EE. This paper deals with an objective function as a non-convex optimization problem and proposed solution by optimal PS ratios. The proposed algorithm obtains the optimal solution using non-linear fractional programming and Lagrangian dual decomposition method. Simulation results confirm that the proposed algorithm attains optimal energy transfer ratio through noteworthy improvements.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.