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In this paper, we propose to use correlations to optimize network operations in terms of energy-efficiency and data quality for data collection applications. We present a novel approach that uses spatial correlations between geographic neighboring nodes to form maximal cliques. Then, we apply it to protocol LEACH by adding a pre-selection phase to elect representative nodes in each clique to be activated...
Recently, there has been a great deal of research on using mobility in wireless sensor networks (WSNs) to facilitate surveillance and reconnaissance in a wide deployment area. Besides providing an extended sensing coverage, node mobility along with spatial correlation introduces new network dynamics, which could lead to the traffic patterns fundamentally different from the traditional (Markovian)...
We present the derivation of a novel metric for the performance prediction of Wireless Sensor Networks (WSNs). In particular, the metric can be applied in, for example, monitoring and surveillance applications where WSNs are used. Those networks execute protocols or techniques that are often sensitive to spatial correlation. The proposed metric is based on the correlation in the sensed phenomenon...
Recently there has been a great deal of research on using mobility in wireless sensor networks to facilitate surveillance and reconnaissance in a wide deployment area. Besides providing an extended sensing coverage, the node mobility along with the spatial correlation of the monitored phenomenon introduces new dynamics to the network traffic. These dynamics could lead to long range dependent (LRD)...
In event-driven wireless sensor networks nodes transmit information only if the monitored physical magnitude levels have triggered an alarm. In these networks, traffic exhibits a high spatial correlation, since it is likely that neighbor nodes detect and try to notify the same events. Thus, the probability of packet collision raises up, as well as notification delay, just as opposite as required....
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