Finding the best friend in mobile social energy networks

Delivering high-speed mobile social networks requires smart mechanisms that can explore the social relations between users to improve data delivery and content dissemination performance. In this paper, a novel approach for energy sharing in mobile social energy networks is proposed. In this proposed system, pairs of users that have a friendship relationship can share their energy, e.g., from batteries or power banks, to improve the data transmission performance. An analytical model is introduced to derive some important performance measures (e.g., energy outage probability and average transferred energy) of the friend users. Based on this proposed analytical model, it is observed that being friends may not always be beneficial for some of the user. To this end, a friend matching algorithm is proposed to determine the best friendship pairings between users that allow to minimize the energy outage probability. Using the proposed approach, it is shown that that there exist certain regions of system parameters, such as the transmission probability and the capacity of an energy storage, within which the stability of the friend relationship between users can be maintained. Simulation results were used to evaluate the performance of the proposed approach and to gain more insights on the potential of mobile social energy networks.