Extending the internet of energy by a social networking of human users and autonomous agents

The spread of IoT technologies fostered the integration of smart devices in cyber physical systems, where the interactions among devices and with human users become more and more complex and intense. Software agents are a programming paradigm that allows for providing intelligence to devices leveraging context awarness, reasoning techniques and communication mechanisms. In this paper we present the design and development of a social network of intelligent agents, which interact with the users and among them using common services and P2P overlay. The emergent behavior of users and agents, that is the optimal charging schedule of e-cars, is achieved recommending the cheapest charging station that does not affect the global distance to be covered for recharging. It optimizes the waiting time reducing the length of the queue at the charging station and global distance covered by all e-cars.