Despite the growing interest in pheromone-based interaction to enforce adaptive and context-aware coordination, the number of deployed systems exploiting digital pheromones to coordinate the activities of application agents is very limited. In this paper, we present a real-world, low-cost and general-purpose, implementation of pheromone-based interaction. This is realized by making use of RFID tags to store digital pheromones, and by having humans and robots to spread/sense pheromones by properly writing/reading RFID tags populating the surrounding environments. We exemplify and evaluate the effectiveness of our approach via an application for object-tracking. This application allows robots and humans to find "forgot-somewhere" objects by following pheromones trails associated with them. In addition, we sketch further potential applications of our approach in pervasive computing scenarios.
Pervasive pheromone-based interaction with RFID tags / Mamei, M.; Zambonelli, F.. - (2005), pp. 104-110. (Intervento presentato al convegno 6th AI*IA/TABOO Joint Workshop "From Objects to Agents": Simulation and Formal Analysis of Complex Systems, WOA 2005 tenutosi a Camerino, MC, ita nel 2005).
Pervasive pheromone-based interaction with RFID tags
Mamei M.;Zambonelli F.
2005
Abstract
Despite the growing interest in pheromone-based interaction to enforce adaptive and context-aware coordination, the number of deployed systems exploiting digital pheromones to coordinate the activities of application agents is very limited. In this paper, we present a real-world, low-cost and general-purpose, implementation of pheromone-based interaction. This is realized by making use of RFID tags to store digital pheromones, and by having humans and robots to spread/sense pheromones by properly writing/reading RFID tags populating the surrounding environments. We exemplify and evaluate the effectiveness of our approach via an application for object-tracking. This application allows robots and humans to find "forgot-somewhere" objects by following pheromones trails associated with them. In addition, we sketch further potential applications of our approach in pervasive computing scenarios.
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