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Collaborative in-network processing has shown to efficiently reduce the per-node processing and transmission requirements in wireless multimedia sensor networks. When the camera nodes are randomly distributed in an area of interest, it is very likely that their fields of view would overlap causing the corresponding visual information to be highly(More)
Wireless Sensor Networks (WSNs) are resource-constrained networks in which sensor nodes operate in an aggressive and uncontrolled environment and interact with sensitive data. Traffic aggregated by sensor nodes is susceptible to attacks and, due to the nature of WSNs, security mechanisms used in wired networks and other types of wireless networks are not(More)
In practical wireless multimedia sensor networks, efficient utilization of available resources is very critical. However, in dense networks with randomly deployed camera nodes, it is very likely that the fields of view of spatially proximal camera nodes would be highly correlated as the views among these nodes are overlapped. This causes the nodes to send(More)
This paper presents an approach for paralleling K-medoid clustering algorithm. The K-medoid algorithm will be divided into tasks, which will be mapped into multiprocessor system. The control structure for the way of expressing the tasks in parallel form and the communication model that satisfied the mechanism for interaction between these tasks is(More)
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