The Communication GSC System with Energy Harvesting Nodes aided by Opportunistic Routing

With the further study of 6G, the development of Internet of Things (IoT) network with 6G draws more attention. Making the system sustainable and enhancing the performance of the system are the current important research directions. This paper introduces a cooperative communication network based on energy-harvesting (EH) decode-and-forward (DF) relays. To solve the current problem of node self-sustaining capacity and achieve sustainable communication, the relay nodes within this system adopt a harvest-storage-use (HSU) structure, allowing them to extract energy from the surrounding environment through energy buffering. To enhance the communication system's performance, the paper incorporates the opportunistic routing algorithm and the generalized selection combining (GSC) algorithm. Further-more, utilizing a discrete-time continuous-state space Markov chain model (DCSMC), the paper derives a theoretical expression for the energy limiting distribution stored in infinite buffers. Through the utilization of probability distribution and the state transition matrix, the paper provides theoretical expressions for system outage probability and throughput. Simulation verification confirms the theoretical results' robust agreement with the simulated outcomes. At last, there is a maximum improvement of about 10% failure probability lower than the existing model.