Efficient Fuzzy Logic-Based Clustering Algorithm for Wireless Sensor Networks

Bidaki, Moazam; Reza, Seyed; Tabbakh, Kamel; Branch, Neyshabur

doi:10.14257/ijgdc.2016.9.5.08

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…Figures (8) and figure (12) give the impression that the dead nodes number increased gradually with consideration to each round. The modified LEACH performance is compared with a several results found in the researches [21] and [22] as shown in Table (2) below using the same parameters.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, the fuzzy logic approach used by some protocol for clustering and backup the head election in mobile WSN. To select better nodes for clustering the authors in [21] applied the quantity live adjacent nodes and existing power of network nodes. By creating more symmetric clusters, they increased the existence of the sensor network and reduced the power consuming of the sensors.…”

Section: Fig 2: Protocol Structure Representationmentioning

confidence: 99%

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Efficient Routing Protocol Algorithm for Wireless Sensor Networks

2018

ijci

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Recently, different applications of wireless sensor networks (WSNs) in the industry fields using different data transfer protocols has been developed. As the energy of sensor nodes is limited, prolonging network lifetime in WSNs considered a significant occurrence. To develop network permanence, researchers had considered energy consuming in routing protocols of WSNs by using modified Low Energy Adaptive Clustering Hierarchy. This article presents a developed effective transfer protocols for autonomic WSNs. An efficient routing scheme for wireless sensor network regarded as significant components of electronic devices is proposed. An optimal election probability of a node to be cluster head has being presented. In addition, this article uses a Voronoi diagram, which decomposes the nodes into zone around each node. This diagram used in management architecture for WSNs.

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Section: Discussionmentioning

confidence: 99%

Section: Fig 2: Protocol Structure Representationmentioning

confidence: 99%

Efficient Routing Protocol Algorithm for Wireless Sensor Networks

2018

ijci

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“…Clustering is a critical network management operations that are used to reduce network energy consumption and increasing the lifetime of wireless sensor network [4], so it has an important role in wireless sensor network. Previous research [5]- [11] mostly discussed residual energy and distance of neighboring nodes.…”

Section: Research Frameworkmentioning

confidence: 99%

Wireless Sensor Network Energy Efficiency with Fuzzy Improved Heuristic A-Star Method

Soijoyo¹,

Wardoyo²

2017

ijacsa

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Abstract-Energy is a major factor in designing wireless sensor networks (WSNs). In order to extend the network lifetime, researchers should consider energy consumption in routing protocols of WSNs. Routing will serve to facilitate a number of sensors on the technology of WSNs to identify the optimal path and manage energy consumption saving at the time of transmitting data. Current Wireless Sensor Networks efficiency system uses node selection as the main parameter without applying path finding routing. It will not complete the optimization of energy. This research was designed to address the problem of energy optimization by using fuzzy-improved heuristic A-Star. A new algorithm named improved heuristic AStar was developed from previous A-Star algorithm. The result of fuzzy-improved heuristic A-Star indicated node sensor to sink destination saved 0.3698 joule energy dissipation which resulted in longer lifetime.

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“…In their study, they used energy, closeness to base station, and area distance as criteria. In [4], the authors compared LEACH protocol with a fuzzy logic model in order to estimate lifespans of wireless sensor networks. They decided that the fuzzy logic including Mamdani Type Fuzzy Inference System is more efficient than LEACH.…”

Section: Introductionmentioning

confidence: 99%

A new model to determine the hierarchical structure of the wireless sensornetworks

Nasiboglu¹,

Erten²

2019

Turk J Elec Eng & Comp Sci

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Wireless sensor networks are one of the rising areas of scientific research. Common purpose of these investigations is usually constructing optimal structure of the network by prolonging its lifetime. In this study, a new model has been proposed to construct a hierarchical structure of wireless sensor networks. Methods used in the model to determine clusters and appropriate cluster heads are k-means clustering and fuzzy inference system (FIS), respectively.The weighted averaging based on levels (WABL) defuzzification method is used to calculate crisp outputs of the FIS. A new theorem for calculation of WABL values has been proved in order to simplify getting the crisp values from complex fuzzy outputs of the FIS. The proposed methodology is experimented via simulation example, and experiments confirm its validity.

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Efficient Fuzzy Logic-Based Clustering Algorithm for Wireless Sensor Networks

Abstract: Clustering is one of the main techniques used to increase the scalability of wireless sensor networks (WSNs

Cited by 5 publications

References 15 publications

Efficient Routing Protocol Algorithm for Wireless Sensor Networks

Efficient Routing Protocol Algorithm for Wireless Sensor Networks

Wireless Sensor Network Energy Efficiency with Fuzzy Improved Heuristic A-Star Method

A new model to determine the hierarchical structure of the wireless sensornetworks

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