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Dynamic Data Delivery and Terrific Transfer in Wireless Sensor Networks |
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PP: 529-535 |
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doi:10.18576/amis/120307
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Author(s) |
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R. J. Kavitha,
W. R. Salem Jeyaseelan,
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Abstract |
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| Load Balanced Clustering (LBC) framework is a innovative techniques that enhance energy efficiency to extend the network
lifetime. Clustering is an effective topology manipulate aroach in wireless sensor networks, which can explosion network scalability
and lifetime. A load balanced clustering algorithm is proposed for sensors to self-arrange themselves into clusters.cell divider is used
for split the statistics aroximately cluster and cluster head calculation.. The results show that LBC can significantly reduce energy
consumptions by assuaging routing techniques on nodes and balancing workload among cluster heads, which achieves 20 percent less
facts series time in comparison to SISO cell data accumulating and over 60 percentage energy saving on cluster heads. It also justified
the packet overhead and explored the consequences with different numbers of cluster heads within the cluster. The main motivation is to
utilize disbursed clustering for scalability, to aoint mobility for energy saving and uniform energy consumption, and to take advantage
of a couple of-input and more than one-output MIMO (Multiple Input and Multiple Output) method for concurrent statistics importing
to shorten latency. |
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