PROJECT TITLE :
Energy-Efficient Cooperative Tfor Simultaneous Wireless Information and Power Transfer in Clustered Wireless Sensor Networks
ABSTRACT:
This paper considers applying simultaneous wireless data and power transfer (SWIPT) technique to cooperative clustered wireless sensor networks, where energy-constrained relay nodes harvest the ambient radio-frequency (RF) signal and use the harvested energy to forward the packets from sources to destinations. To this end, we have a tendency to 1st formulate the energy-economical cooperative transmission (eCotrans) downside for SWIPT in clustered wireless sensor networks as a non-convex constrained optimization drawback. Then, by exploiting fractional programming and dual decomposition, we have a tendency to develop a distributed iteration algorithm for power allocation, power splitting and relay selection to solve the non-convex optimization drawback. We tend to find that power splitting ratio plays an imperative role in relay choice. Our simulation results illustrate that the proposed algorithm can converge inside some iterations and the numerical analysis provides practical insights into the result of varied system parameters, such as the quantity of relay nodes, the inter-cluster distance and the most transmission power allowance, on energy efficiency and average harvested power.
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