Proceedings ArticleDOI
Clusterhead selection using Huffman coding algorithm for Wireless Sensor Networks
Sweta Potthuri,T. Shankar,A. Rajesh +2 more
- pp 1-4
TLDR
In the proposed algorithm, cluster heads are chosen depending on the Huffman coding algorithm, the nodes having the least weight are chosen to be cluster heads and the performance is increased by 30% than LEACH.Abstract:
Energy efficiency is a major concern in WSNs due to the use of small sized batteries which can neither be replaced nor be recharged Hence the energy consumption must be as low as possible One of the traditional approaches used is clustering Clusters are formed for efficient energy utilization and improving the network performance In the proposed algorithm, cluster heads are chosen depending on the Huffman coding algorithm The nodes having the least weight are chosen to be cluster heads The result obtained is compared with LEACH and the performance is increased by 30% than LEACHread more
Citations
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Journal Article
Hybrid Approach for Energy Optimization in Wireless Sensor Networks
K. Yogitha,V. Alamelumangai +1 more
TL;DR: Results approve that the proposed hybrid algorithm presents promising solutions on WSN routings and minimize the energy of the network so the life time of WSN can be increase.
References
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HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
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TL;DR: It is proved that, with appropriate bounds on node density and intracluster and intercluster transmission ranges, HEED can asymptotically almost surely guarantee connectivity of clustered networks.
Proceedings ArticleDOI
PEGASIS: Power-efficient gathering in sensor information systems
TL;DR: PEGASIS (power-efficient gathering in sensor information systems), a near optimal chain-based protocol that is an improvement over LEACH, is proposed, where each node communicates only with a close neighbor and takes turns transmitting to the base station, thus reducing the amount of energy spent per round.
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