A Mechanism for Solving Conflicts in Ambient Intelligent Environments

Ambient intelligence scenarios describe situations in which multitude of devices and agents live together. in this kind of scenarios is frequent to see the appearance of conflicts when modifying the state of a device as for example a lamp. those problems are not as much of sharing of resources as of conflict of orders coming from different agents. this coexistence must deal also with the desire of privacy of the different users over their personal information such as where they are, what their preferences are or to whom this information should be available. when facing incompatible orders over the state of a device it turns necessary to make a decision. in this paper we propose a centralised mechanism based on prioritized fifo queues to decide the order in which the control of a device is granted. the priority of the commands is calculated following a policy that considers issues such as the commander’s role, command’s type, context’s state and commander-context and commander-resource relations. finally we propose a set of particular policies for those resources that do not adjust to the general policy. in addition we present a model pretending to integrate privacy through limiting and protecting contextual information.