A Relay Selection Algorithm in Energy Harvesting Ad-hoc Networks with Interference Constraints

In energy harvesting Ad-hoc networks, a multi-hop D2D link is made available for long-distance communication, which will cause interference with adjacent D2D nodes. The paper proposes a relay selection algorithm based on machine learning to maintain the supply of communication energy and reduce interference with other D2D nodes. First, the closed-form solution of the outage probability is analyzed. Then, the distance ratio factor (DRF) which affects the outage performance is derived. Based on the factor, the mapping DRF matrix is obtained and a support vector machine (SVM) is utilized to decrease the outage probability. Finally, the relay nodes are selected by the SVM - Dijkstra algorithm. Simulation experiments verify the performance of the proposed algorithm. The proposed algorithm outperforms the shortest path algorithm, the direct transmission method, and the DRF-Dijkstra algorithm.