Energy Cooperative Transmission Policy for Energy Harvesting Tags

TL;DR

This paper introduces an energy cooperative transmission policy for energy harvesting tags in IoT networks, optimizing energy sharing and transmission to enhance throughput using a Markov decision process.

Contribution

It proposes a novel optimal transmission policy based on MDP that improves throughput by enabling energy sharing among harvesting tags.

Findings

The cooperative policy outperforms traditional non-cooperative strategies.

Energy sharing increases network throughput despite energy transfer losses.

Simulation confirms the effectiveness of the proposed policy.

Abstract

To sustain communication reliability and use the harvested energy effectively, it is crucial to consider energy sharing between energy harvesting tags (EHT) in a multiple access network, which are basic building blocks for the internet of things (IoT) applications. This technique also achieves higher throughput compared with the non-cooperative strategies despite energy losses occurred during energy transfer. We propose an energy cooperative communication strategy for a multiple access network of tags that depends on the harvested battery energy. We develop an optimal transmission policy for EHTs that maximizes the long-term joint average throughput using a Markov decision process (MDP) model. Simulation results show that the proposed energy cooperative policy produces improved performance than traditional policies.