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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...
The sensor nodes of wireless sensor networks have limited battery power, so energy efficiency is mainly considered in the design. A novel mechanism of cluster head operation is designed for reducing the energy consumption for broadcasting message and prolonging the network lifetime. The key of the mechanism is that each cluster head acts continuously as local control center and will not be replaced...
It is very important to maximize the lifetime of wireless sensor networks (WSN) operated on limited power. In order to improve the energy efficiency and prolong the network lifetime, a new clustering algorithm based on the optimum one-hop distance is presented. The relationship among the energy consumption, the device electronic energy and the one-hop transmission distance is analyzed, and then the...
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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