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Published in: Wireless Personal Communications 4/2021

09-06-2021

P-LUET: A Prolong Lines of Uniformity Based Enhanced Threshold Algorithm for Heterogeneous Wireless Sensor Network Enabled Internet of Things Framework

Authors: Tanvi Sood, Kanika Sharma

Published in: Wireless Personal Communications | Issue 4/2021

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Abstract

With expanding realms of Internet of Things (IoT), researchers have started venturing into designing such algorithms for Wireless Sensor Networks (WSN) that support IoT network requirements. However, collaborating a sensor network into Internet of Things applicability faces surging data flow amidst which the senor network is expected to provide reliable data over extended span. Amidst variant techniques like routing, data aggregation, packet scheduling etc. which can be improvised upon, clustering has been a widespread energy efficient technique that primarily shortens distances in large-scale networks while also bring down commuting packets over improved connectivity. Therefore, utilizing clustering to incorporate WSN enabled IoT (WSN-IoT) standards becomes the primary focus of this paper. Heuristic based clustering algorithm termed as Prolong—Lines of Uniformity based Energy Threshold protocol (P-LUET) has been proposed that focusses on expanding the stable operating period of WSN-IoT. This algorithm is based on certain measures of WSN-IoT’s per unit, that is, residual energy, cartesian coordinate based location, shadow distance from the Sink Node, and density within the field. The parameters are employed such that they help combat hotspot issue, cluster overlapping, and network connectivity. A cluster-based conditional gridding Voronoi structure has also been consolidated that enables multi-hop communication. P-LUET algorithm is thoroughly analysed through comparisons with the existing approaches. Furthermore, analysis on P-LUET has also been carried on scenarios that are based on heterogeneity synthesis and b, c parameters.

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Metadata
Title
P-LUET: A Prolong Lines of Uniformity Based Enhanced Threshold Algorithm for Heterogeneous Wireless Sensor Network Enabled Internet of Things Framework
Authors
Tanvi Sood
Kanika Sharma
Publication date
09-06-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 4/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-08593-y

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