Information Integration and Synchronization in Distributed Sensor Networks
PURDUE UNIV LAFAYETTE IN DEPT OF ELECTRICAL ENGINEERING
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In recent years, the study of systems with multiple sensors has been an active area of research. In this paper, we focus on the computational, i.e., architectural, algorithmic, and synchronization issues related to competitive information integration in a Distributed Sensor Network DSN. The proposed architecture of the DSN consists of a set of binary trees whose roots are fully connected. Each node of the tree has a processing element and one or more sensors associated with it. The information from each of the sensors has to be integrated in such a manner that the communication costs are low and that the real time needs are met. We present an information integration algorithm which has a low message cost linear in the number of nodes of the network and a low distributed computation cost. In a distributed environment there is no central clock which regulates the activities of each node. Further, the clock at each node is typically not accurate. The estimates from each of the sensors which need to be integrated have to be temporally close to each other, however. We consider the problems associated with synchronizing information to be integrated in the presence of imperfect clocks.
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