An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic

Taheri, Hoda; Neamatollahi, Peyman; Younis, Ossama; Naghibzadeh, Shahrzad; Yaghmaee, Mohammad Hossein

doi:10.1016/j.adhoc.2012.04.004

Cited by 236 publications

(132 citation statements)

References 21 publications

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“…However, the proposed algorithms perform reclustering in rounds which mitigates the energy consumption due to the cluster reconfiguration in each round [8]. Both ECPF [17] and EADC-FL [8] perform reclustering on demand during the steady phase. When a CH finds that its residual energy falls below the preset threshold, it sets a prespecified bit in a data packet which is ready to be sent to the BS in the current TDMA frame.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Controller Based Unequal Clustering Algorithm with Fault Tolerance

Wang

2017

Int. J. Onl. Eng.

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Abstract-In order to solve the hot spots problem in equal wireless sensor networks, a distributed Fuzzy controller based Unequal Clustering algorithm with Fault Tolerance (FUCFT) is proposed. Fuzzy controller in FUCFT uses the residual energy, node centrality, node degree and distance to base station as input variables and outputs chance and size based on the IF-THEN rules, so as to make the optimal nodes be elected as cluster heads with appropriate cluster size. Moreover, TDMA scheme is adopted to transmit data among the clusters and tolerate the faults for the cluster heads and member nodes. Reclustering on demand is used to reduce the energy dissipation of the consecutive clustering in rounds. The simulation results indicate that FUCFT ensures load balance among clusters, and reduces the energy consumption as well as improves the network lifetime compared with its counterparts.

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Section: Related Workmentioning

confidence: 99%

Fuzzy Controller Based Unequal Clustering Algorithm with Fault Tolerance

Wang

2017

Int. J. Onl. Eng.

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“…They are both different processes used to define the reputation-based clustering OLSR (RBC-OLSR) routing protocol. Taheri, Hoda et al [7] proposed an energy-aware distributed dynamic clustering protocol (ECPF) which applies three techniques: non-probabilistic cluster head (CH) elections, fuzzy logic, and on demand clustering. The residual energy of the nodes is the principal parameter for electing tentative CHs using a nonprobabilistic fashion.…”

Section: Pasccc: Priority-based Application-specific Congestion Contrmentioning

confidence: 99%

A Study of Congestion Control Protocols for Wireless Sensor Networks

Singh¹,

Singh²

2015

IJCA

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Within the last couple of years a comparatively large amount of clustering routing protocols have already been developed for WSNs. This paper is an effort to comprehensively review and critically discuss the absolute most prominent clustering routing algorithms which have been developed for WSNs. The goals with this survey are to produce a large audience conscious of the existence and of the usually good performance of numerous clustering routing protocols in WSNs. From the survey, it has been discovered that none of technique performs effectively in most fields. Therefore the paper ends with the future scope to overcome these issues.

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“…An energy aware clustering protocol using fuzzy logic (ECPF) [3] which is a hierarchical clustering protocol employs a fuzzy based system with the input variables namely, the node degree and the node centrality to form on-demand clusters. This work inspired many researchers to re-estimate the role of cluster heads from the intra-cluster perspective in a hierarchical sensor environment.…”

Section: Clustering In Wireless Sensor Networkmentioning

confidence: 99%

Modern Clustering Techniques in Wireless Sensor Networks

Akila¹,

Manisekaran²,

Venkatesan³

2017

Wireless Sensor Networks - Insights and Innovations

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Wireless sensor networks (WSNs) are employed in various applications from healthcare to military. Due to their limited, tiny power sources, energy becomes the most precious resource for sensor nodes in such networks. To optimize the usage of energy resources, researchers have proposed several ideas from diversified angles. Clustering of nodes plays an important role in conserving energy of WSNs. Clustering approaches focus on resolving the conflicts arising in effective data transmission. In this chapter, we have outlined a few modern energy-efficient clustering approaches to improve the lifetime of WSNs. The proposed clustering methods are: (i) fuzzy-logic-based cluster head election, (ii) efficient sleep duty cycle for sensor nodes, (iii) hierarchical clustering, and (iv) estimated energy harvesting. Classical clustering approaches such as low energy adaptive clustering hierarchy (LEACH) and selected contemporary clustering methods are considered for comparing the performance of proposed approaches. The proposed modern clustering approaches exhibit better lifetime compared to the selected benchmarked protocols.

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An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic

Cited by 236 publications

References 21 publications

Fuzzy Controller Based Unequal Clustering Algorithm with Fault Tolerance

Fuzzy Controller Based Unequal Clustering Algorithm with Fault Tolerance

A Study of Congestion Control Protocols for Wireless Sensor Networks

Modern Clustering Techniques in Wireless Sensor Networks

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