Real-time common awareness in communication constrained sensor systems

Sensor systems need to be more adaptive to perform well in dynamically changing environments. Common awareness in sensor systems enables distributed agents to perform coordinated actions and reason about other agents. In addition, physical distribution of the agents in the network prevent a single point of failure and provides distributed sensing, but introduces the problem of communication constraints (e.g. bandwidth and latency), especially in complex sensors with large amounts of data. Therefore, the general aim is to develop evaluationmethods that enable each agent to determine the reward of information coming from its own sensors by balancing the value and the cost (determined by the communication constraints). The value of information is determined by the global need for information. These evaluationmethods are adaptive to changing, and possibly multiple and multi-dimensional requests and to changing communication constraints. In this paper the main focus lies on how to deal with latency.