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Fuzzy logic based energy efficient adaptive clustering protocol

Published: 03 April 2012 Publication History

Abstract

In order to overcome the problem of the limited power of the sensor battery and thus prolonging the lifetime of a Wireless Sensor Network (WSN), many routing algorithms were proposed to gather and forward the sensed data to the base station. One of the most well-known routing algorithms that were proposed in the last years is the LEACH protocol. It is a dynamic cluster-based routing protocol that divides the network lifetime to rounds where each round is composed of two phases: setup and steady state. The key factor of each round is the number of nodes that will act as cluster heads (CHs). Each CH is responsible for collecting the sensed data from the sensor nodes that are in the same cluster and then forwarding the aggregated data to the base station. In this paper we suggest FL-LEACH protocol that employs fuzzy logic in order to determine the number of CHs that should be used in the WSN. FL-LEACH is a fuzzy inference system that depends on two variables: number of nodes in the network and nodes density. Assuming uniform distribution of the nodes over the sensor field, the novelty of the proposed approach is in its ability to determine the number of CHs without getting other information about the network. Matlab simulation is used to show the effectiveness of the FL-LEACH protocol compared with other protocols, such as the pure LEACH and the genetic-based protocol, LEACH-GA. Simulation results have shown that FL-LEACH outperforms LEACH and LEACH-GA in terms of network lifetime.

References

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Jenn-Long Liu and Chinya V. Ravishankar, "LEACH-GA: Genetic Algorithm-Based Energy-Efficient Adaptive Clustering Protocol for Wireless Sensor Networks", International Journal of Machine Learning and Computing, Vol.1, No. 1, April 2011.
[2]
Jong-Myoung Kim, Seon-Ho Park, Young-Ju Han and Tai-Myoung Chung, "CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks", ICACT 2008.
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Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan, "Energy- Efficient Communication Protocol for Wireless Microsensor Networks", Published in the Proceedings of the Hawaii International Conference on System Sciences, January 4-7, 2000, Maui, Hawaii.
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Raghavendra V. Kulkarni, Anna Förster, and Ganesh Kumar Venayagamoorthy, "Computational Intelligence in Wireless Sensor Networks: A Survey", IEEE Communications Surveys & Tutorials, VOL. 13, NO. 1, FIRST QUARTER 2011.
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I. Gupta, D. Riordan and S. Sampalli, "Cluster-head Election using Fuzzy Logic for Wireless Sensor Networks", Communication Networks and Services Rearch Conference, pp.255--260, May 2005.
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A. Manjeshwar, D. P. Agrawal, "TEEN: a routing protocol for enhanced efficiency in wireless sensor networks", in: Proceedings of the 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, San Francisco, CA, April 2001.
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Muhamnmad Omer Farooq, Abdul Basit Dogar, Ghalib Asadullah Shah, "MR-LEACH: Multi-hop Routing with Low Energy Adaptive Clustering Hierarchy", 2010 Fourth International Conference on Sensor Technologies and Applications.
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Cited By

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  • (2022)A Comprehensive Review on Successors of LEACH Protocols in Wireless Sensor NetworksInternational Journal of Sensors, Wireless Communications and Control10.2174/221032791266622061511533112:6(463-477)Online publication date: Jul-2022
  • (2022)Energy-Efficient Adaptive Clustering and Routing Protocol for Expanding the Life Cycle of the IoT-based Wireless Sensor Network2022 6th International Conference on Computing Methodologies and Communication (ICCMC)10.1109/ICCMC53470.2022.9753809(328-336)Online publication date: 29-Mar-2022
  • (2022)Modified sailfish optimization for energy efficient data transmission in IOT based sensor networkAnnals of Operations Research10.1007/s10479-021-04455-9Online publication date: 19-Jan-2022
  • Show More Cited By

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Published In

cover image ACM Conferences
ICICS '12: Proceedings of the 3rd International Conference on Information and Communication Systems
April 2012
141 pages
ISBN:9781450313278
DOI:10.1145/2222444
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]

Sponsors

  • HBTF: Housing Bank for Trade and Finance
  • JUST: Jordan University of Science and Technology
  • ACM: Association for Computing Machinery
  • Cairo Amman Bank: Cairo Amman Bank
  • IBM: IBM
  • Jordan Engineering Assoc: Jordan Engineering Association

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 April 2012

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Author Tags

  1. LEACH
  2. clustering
  3. energy
  4. fuzzy logic
  5. lifetime
  6. wireless sensor network

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ICICS '12
Sponsor:
  • HBTF
  • JUST
  • ACM
  • Cairo Amman Bank
  • IBM
  • Jordan Engineering Assoc

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Cited By

View all
  • (2022)A Comprehensive Review on Successors of LEACH Protocols in Wireless Sensor NetworksInternational Journal of Sensors, Wireless Communications and Control10.2174/221032791266622061511533112:6(463-477)Online publication date: Jul-2022
  • (2022)Energy-Efficient Adaptive Clustering and Routing Protocol for Expanding the Life Cycle of the IoT-based Wireless Sensor Network2022 6th International Conference on Computing Methodologies and Communication (ICCMC)10.1109/ICCMC53470.2022.9753809(328-336)Online publication date: 29-Mar-2022
  • (2022)Modified sailfish optimization for energy efficient data transmission in IOT based sensor networkAnnals of Operations Research10.1007/s10479-021-04455-9Online publication date: 19-Jan-2022
  • (2021)Hierarchical Routing Protocols for Wireless Sensor Networks: Functional and Performance AnalysisJournal of Sensors10.1155/2021/74593682021:1Online publication date: 8-May-2021
  • (2021)Design and Development of Efficient Secure Routing Mechanism for Wireless Sensor NetworkEnergy Conservation Solutions for Fog-Edge Computing Paradigms10.1007/978-981-16-3448-2_12(233-266)Online publication date: 8-Sep-2021
  • (2019)Energy and Network Balanced Distributed Clustering in Wireless Sensor NetworkWireless Personal Communications: An International Journal10.1007/s11277-019-06137-z105:3(1083-1109)Online publication date: 1-Apr-2019
  • (2018)A Novel Fuzzy Inference System Based on Hedge Algebras to Enhance Energy Efficiency in Wireless Sensor Networks2018 IEEE 3rd International Conference on Communication and Information Systems (ICCIS)10.1109/ICOMIS.2018.8644986(73-78)Online publication date: Dec-2018
  • (2017)Fuzzy Logic-Based Cluster Heads Percentage Calculation for Improving the Performance of the LEACH ProtocolFuzzy Systems10.4018/978-1-5225-1908-9.ch027(609-627)Online publication date: 2017
  • (2017)A Survey on Successors of LEACH ProtocolIEEE Access10.1109/ACCESS.2017.26660825(4298-4328)Online publication date: 2017
  • (2015)Fuzzy Logic-Based Cluster Heads Percentage Calculation for Improving the Performance of the LEACH ProtocolInternational Journal of Fuzzy System Applications10.4018/IJFSA.20151001064:4(100-118)Online publication date: 1-Oct-2015
  • Show More Cited By

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