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Improving on leach protocol of wireless sensor networks using fuzzy logic

Ge Ran, +2 more
- pp 767-775
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TLDR
This paper improves LEACH protocol using Fuzzy Logic (LEACH-FL), which takes battery level, distance and node density into consideration and has been proved making a better selection by comparison simulations using Matlab.
Abstract
The Wireless Sensor Networks (WSN) consists of a large number of sensor nodes that are limited in energy, processing power and storage. The energy of nodes is the most important consideration among them because the lifetime of Wireless Sensor Networks is limited by the energy of the nodes. LEACH is one of the most famous clustering mechanisms; it elects a cluster head (CH) based on a probability model. This paper improves LEACH protocol using Fuzzy Logic (LEACH-FL), which takes battery level, distance and node density into consideration. The proposed method has been proved making a better selection by comparison simulations using Matlab.

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Citations
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Journal ArticleDOI

A Survey on Clustering Routing Protocols in Wireless Sensor Networks

TL;DR: A comprehensive and fine grained survey on clustering routing protocols proposed in the literature for WSNs, and a novel taxonomy of WSN clustering routed methods based on complete and detailed clustering attributes are presented.
Journal ArticleDOI

Clustering in sensor networks

TL;DR: A state-of-the-art and comprehensive survey on clustering approaches in WSNs, which surveys the proposed approaches in the past few years in a classified manner and compares them based on different metrics such as mobility, cluster count, cluster size, and algorithm complexity.
Journal ArticleDOI

Fuzzy-Logic-Based Clustering Approach for Wireless Sensor Networks Using Energy Predication

TL;DR: A fuzzy-logic-based clustering approach with an extension to the energy predication has been proposed to prolong the lifetime of WSNs by evenly distributing the workload and the simulation results show that the proposed approach is more efficient than other distributed algorithms.
Journal ArticleDOI

A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime

TL;DR: The results have been derived from NS-2 simulator and show that the proposed protocol performs better than the LEACH protocol in terms of the first node dies, half node alive, better stability, and better lifetime.
Journal ArticleDOI

A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks

TL;DR: An energy efficient cluster head selection algorithm which is based on particle swarm optimization (PSO) called PSO-ECHS is proposed with an efficient scheme of particle encoding and fitness function and the results are compared with some existing algorithms to demonstrate the superiority of the proposed algorithm.
References
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Proceedings ArticleDOI

Energy-efficient communication protocol for wireless microsensor networks

TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.

Energy-efficient communication protocols for wireless microsensor networks

TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Journal ArticleDOI

An application-specific protocol architecture for wireless microsensor networks

TL;DR: This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
Journal ArticleDOI

Sensor information networking architecture and applications

TL;DR: A sensor information networking architecture, called SINA, that facilitates querying, monitoring, and tasking of sensor networks and provides mechanisms to create associations and coordinate activities among sensor nodes.
Proceedings ArticleDOI

Cluster-head election using fuzzy logic for wireless sensor networks

TL;DR: A fuzzy logic approach to cluster-head election is proposed based on three descriptors-energy, concentration and centrality and shows that depending upon network configuration, a substantial increase in network lifetime can be accomplished as compared to probabilistically selecting the nodes as cluster-heads using only local information.
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