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In this paper, we show how spatial correlation in data can be exploited to reduce energy consumption in a wireless sensor network. We analytically characterize the optimal cluster size, and then use a greedy clustering algorithm to study approximate solutions to the optimal data gathering problem.
Wireless sensor networks (WSNs) are receiving an upsurge of research interest in both academia and industry. The key issue for the design and operation of WSNs is the optimization of power consumptions. Several approaches have been proposed to address this aspect and a very promising approach is known to be ??clustering??, which foresees to allow only a subset of nodes in the network to send data...
The energy of node in Wireless Sensor Networks (WSN) is severely constrained, it is very important to maximize the network lifetime by reducing the data dissemination among the nodes. In order to enhance energy efficiency and prolong the system lifetime, a novel data gathering algorithm based on mutual supportability and grey prediction is presented. According to of nodes' the historical data, cluster...
In this paper distributed source coding is used to compress data in a wireless sensor network in order to reduce energy consumption in sensor nodes. In the distributed source coding scheme the correlation characteristics of the sensor nodes are utilized for achieving compression in the data transmission. Since the correlation characteristics of the nodes vary with respect to time, correlation tracking...
In densely deployed wireless sensor networks, spatial data correlations are introduced by the observations of multiple spatially proximal sensor nodes on a same phenomenon or event. These correlations bring significant potential advantages for the development of efficient strategies for reducing energy consumption. In this paper, spatial data correlations are exploited to group sensor nodes into clusters...
In this paper, spatial data correlations are exploited to group sensor nodes into clusters of high data aggregation efficiency. The problem of selecting the set of cluster heads is defined as the weighted connected dominating set problem. Then centralized and distributed algorithms are developed to select the cluster heads. Simulation results demonstrate the effectiveness and efficiency of the designed...
The energy of node in wireless sensor networks (WSN) is severely constrained, it is very important to maximize the lifetime of the entire network. In order to enhance energy efficiency and prolong the system lifetime, a novel energy saving algorithm based on correlation function is presented. Firstly, the relationship between the energy consumption and the length of communication data is introduced...
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