An improvement of communication stability on underwater sensor network using balanced energy efficient joining distance matrix

Natarajan, Vignesh Prasanna; Kavitha, T.

doi:10.1007/s13198-021-01593-y

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…The viability of any plan may be assessed using interference rules. Purge, condition evaluation, and non-purge are the three steps of fuzzy logic control [26]. Phase 1: Fuzzification All fuzzy logic control systems are implemented through the development of fuzzy rules.…”

Section: Fuzzy Logic Systemmentioning

confidence: 99%

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Fuzzy Enhanced Black Widow Spider with Secure Encryption Random Permutation Pseudo Algorithm for Energy Efficient Cluster Communication in WSN

M. S. S. Sasikumar,

A. E. Narayanan

2023

ARASET

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Devices connected to the Internet of Things (IoT) are increasingly being used. Modern mobile apps may be incorporated onto low-cost, low-power devices with the help of these extensions. This integration is made possible by the utilization of low-cost, low-power sensor nodes. All sensor nodes transmit data either directly or via a multi-hop path to other receivers or nodes. In order to enable effective inter-cluster communication through ideal cluster head selection, we build a fuzzy-enhanced black widow spider based on the Secure Encrypted Random Permutation Pseudo Algorithm (FEBWS-SERPPA) in this study. By taking energy, latency, and distance characteristics into account, the suggested FEBWS-SERPPA algorithm enhances the black widow spider optimization method by choosing the optimal cluster head in the cluster. To ensure its effectiveness, the suggested FEBWS-SERPPA algorithm's performance is compared to the state-of-the-art. The suggested FEBWS-SERPPA algorithm delivers enhanced performance speed with very low energy consumption and extended network lifetime when compared to existing cutting-edge methods.

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Section: Fuzzy Logic Systemmentioning

confidence: 99%

“…The lifespan of the network is shortened by high node workloads. As a result, cluster heads (CH) assign each network's nodes on an individual basis [24][25][26]. Sensor nodes can send out notifications and keep track of events when significant events happen so that users can make decisions.…”

Section: Introductionmentioning

confidence: 99%