Evaluation study of secondary cluster head selection using fuzzy logic in WSN for conservation of battery energy

Ranjith, R.; Vishwas, H. N.

doi:10.1109/icicct.2017.7975157

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…The CHs' selection is done using fuzzy logic while the master CH is selected based on the CH that has the maximum residual energy. Ranjith et al 54 proposed a clustering method based on selection of primary and secondary CHs (SCHs). The primary CHs are selected based on centrality, while secondary CHs are chosen with the help of a fuzzy inference system (FIS) that considers the remaining battery power, centrality, and mobility with respect to the base station as inputs and returns the likelihood (chance) of a node to act as a secondary CH.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Verma

Bhatia

Zeadally

et al. 2023

Int J Communication

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SummaryA wireless sensor network (WSN) is a network of tiny sensors deployed to collect data. These sensors are powered with batteries that have limited power. Recharging and/or replacement of these batteries, however, are not always feasible. Over the past few years, WSN applications are being deployed in diverse fields such as military, manufacturing, healthcare, agriculture, and so on. With the ever‐increasing applications of WSNs, improving the energy efficiency of the WSNs still remains to be a challenge. Applying fuzzy logic to the problem of clustering exploits the uncertainty associated with the factors that affect the lifetime of these sensors and enables the development of models that would improve their performance in real‐world applications. We present a comprehensive review of various fuzzy‐based techniques for clustering in WSNs whose main goal is to optimize energy usage in WSNs while simultaneously improving their overall performance.

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Section: Literature Reviewmentioning

confidence: 99%

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Verma

Bhatia

Zeadally

et al. 2023

Int J Communication

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“…Wireless sensor networks (WSNs) are a technology used for collecting sensed data 5 -6 . Compared to sensing over traditional wired networks, WSNs have the advantage that sensor nodes can be placed in moving or rotating locations, but they require batteries that need to be replaced periodically 7 . Considering the high power consumption, battery replacement in short cycles is required when the frequency and the size of data communication are large.…”

Section: Introductionmentioning

confidence: 99%

Miniaturization Design of Power-Receiving Module for Cavity Resonance-Enabled Wireless Power Transfer

Akai

Saeki

Tamura

2022

Preprint

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Wireless sensor networks (WSNs) are a candidates for data collection in factories. WSNs possess the problem of securing power for each sensor. Cavity resonance-enabled wireless power transfer (CR-WPT) has attracted attention as a solution to the abovementioned problem. This study proposes a design methodology for a miniaturized power-receiving module for the CR-WPT. The optimum matching circuit for the compact power-receiving modules are designed by considering the transmitter, cavity resonator, and receiver as a single system. The power-receiving module for a transmission frequency of 119 MHz is reduced from 280 x 59 x 67 mm3 to 100 x 30 x 30 mm3, which means a 92% reduction in volume. The compact power-receiving module obtains an efficiency similar to that of a previous power-receiving module.

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Fuzzy-Based Cluster Head Amendment (FCHA) Approach to Prolong the Lifetime of Sensor Networks

Ranganathan

Somanathan²,

Kannan³

2019

Wireless Pers Commun

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Evaluation study of secondary cluster head selection using fuzzy logic in WSN for conservation of battery energy

Cited by 6 publications

References 6 publications

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Miniaturization Design of Power-Receiving Module for Cavity Resonance-Enabled Wireless Power Transfer

Fuzzy-Based Cluster Head Amendment (FCHA) Approach to Prolong the Lifetime of Sensor Networks

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