A simulation model for self-organised management of sensor/actuator networks

Task allocation is an effective solution for resource management in Sensor and Actuator Networks. Optimal strategies lead to a reduction of individu-als working on the same task and, therefore, to decreased interferences among them. We are currently studying a probabilistic task allocation algorithm in-spired by the behaviour observed in animal colonies. In this paper, we introduce our ongoing work (the simulation model and algorithmic details), and a list of open issues that can be used as a basis for discussions.