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Energy consumption and lifetime of WSN are the most important research challenges to be resolved. For load balancing and efficient data collection in the network, clustering is used. Sensors in each cluster send the data to their corresponding cluster heads. The cluster head performs data aggregation and transmission of the aggregated data to the base station. Farther sensor nodes data are aggregated...
Wireless Sensor Network (WSN) consists of small nodes with sensing, computation, and communications capabilities. Sensor node senses the data and sends data to the base station for further processing. These sensor nodes mainly rely upon batteries for energy, which get drained at a quicker rate due to the computation and communication and this decreases the lifetime of the network. In order to solve...
Wireless sensor networks have become one of the most tempting networking technologies since it can be deployed without the need of a communication infrastructure. In general, there are some major concerns with this technology. That is, sensor node should have a long lasting system lifetime. And the system should keep the livability of nodes in a received level during the using process. In such systems...
This paper studies how to increase availability and survivability of WSN by selecting a suitable cluster head. For this purpose, we propose a relative distance based clustering scheme (RDCS), to promote the efficiency of energy utilization. In RDCS, both the relative distance and the residual energy are taken into consideration for cluster head selection. Simulation results show that RDCS has better...
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