An Energy-equilibrium Opportunity network routing algorithm based on Game theory and Historical similarity rate

The energy consumed by a node in the opportunity network to forward messages determines its service time and survival period. In order to solve the problem of energy consumption imbalance, the paper proposes an energy equalization opportunity network routing algorithm (EOGH) based on game theory and historical similarity. The algorithm selects a suitable relay node to forward the message based on the remaining energy of the node and its encounter probability with the destination node. Simulation results show that EOGH can get high delivery rate with the energy balance consumption and prolongs the network lifetime.