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Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor
Abdulmughni Hamzah1, Mohammad Shurman2, Omar Al-Jarrah3
1Department of Computer Engineering, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan. ayhamzah128@cit.just.edu.jo.
Sensors (Basel, Switzerland)
|February 1, 2019
Summary
This study introduces a fuzzy logic model for energy-efficient clustering in wireless sensor networks (WSN). The FL-EEC/D approach enhances network lifetime and balances energy consumption by optimizing cluster head selection.
Area of Science:
- Computer Science
- Electrical Engineering
- Network Engineering
Background:
- Wireless Sensor Networks (WSN) face limited battery capacity, necessitating energy-efficient protocols.
- Clustering in WSN reduces energy consumption by minimizing transmission distances.
Purpose of the Study:
- To propose a fuzzy logic model for cluster head (CH) election in WSNs.
- To introduce the Fuzzy Logic-based Energy-Efficient Clustering with minimum separation Distance enforcement (FL-EEC/D) algorithm.
- To evaluate the energy efficiency and load balancing capabilities of the proposed algorithm.
Main Methods:
- A fuzzy logic model using five descriptors: residual energy, location suitability, density, compacting, and distance from the base station for CH selection.
- Implementation of the FL-EEC/D algorithm for clustering.
- Utilization of the Gini index to assess energy distribution balance.
- Comparison with existing methods: fuzzy logic-based CH election, k-means, and LEACH.
Main Results:
- The FL-EEC/D algorithm demonstrates improved energy efficiency compared to benchmark algorithms.
- Enhanced network lifetime and balanced energy consumption across sensor nodes were observed.
- Significant improvements in metrics like first node dead and half nodes dead were reported across various network sizes and topologies.
Conclusions:
- The proposed fuzzy logic-based clustering approach (FL-EEC/D) effectively enhances energy efficiency in WSNs.
- The algorithm contributes to prolonging network operational life and achieving better energy load balancing.
- FL-EEC/D presents a viable solution for energy-constrained wireless sensor network applications.
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