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Multi-tier Clustering Method to Prolong Network Lifetime in Wireless Sensor Network

Published: 25 September 2015 Publication History

Abstract

Energy conservation is a key characteristic of wireless sensor network(WSNs). Therefore saving the energy is main issue in order to increase lifetime of network. It is essential to use effective and energy aware mechanism for energy conservation. Clustering is an important mechanism which achieve scalability, reduce energy consumption and increase lifetime of network. To achieve this objective we proposed a multi-tier clustering based method for homogenous WSNs. This method works effectively and efficiently in small as well as in large area. Multi-tier architecture is used for node addressing and communication and to balance the load of all the sensor node. This tiers are formed on the basis of the transmission range from the sink node which is placed at the center. Further in each tier clusters head(CH) is selected by considering highest residual energy. Nodes coming in the transmission range of CH will form a cluster. The simulation results shown reduction in average energy consumption and increased network lifetime.

References

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ICCCT '15: Proceedings of the Sixth International Conference on Computer and Communication Technology 2015
September 2015
481 pages
ISBN:9781450335522
DOI:10.1145/2818567
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2015

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Author Tags

  1. Energy conservation
  2. clustering
  3. energy aware
  4. network lifetime
  5. residual energy
  6. sensor node

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ICCCT '15

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Overall Acceptance Rate 33 of 124 submissions, 27%

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