Energy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs

In wireless sensor networks, due to the restricted battery capabilities of sensor nodes, the energy issue plays a critical role in network efficiency and lifespan. In our work, an upgraded long short-term memory is executed by the base station to frequently predict the forecast positions of the node...

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Autores principales:	Md. Khaja Mohiddin, Rashi Kohli, V. B. S. Srilatha Indira Dutt, Priyanka Dixit, Gregus Michal
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/7a48557e165a4d15b1e54f9e016688f7
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id	oai:doaj.org-article:7a48557e165a4d15b1e54f9e016688f7
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spelling	oai:doaj.org-article:7a48557e165a4d15b1e54f9e016688f72021-11-08T02:36:20ZEnergy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs1530-867710.1155/2021/9601078https://doaj.org/article/7a48557e165a4d15b1e54f9e016688f72021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9601078https://doaj.org/toc/1530-8677In wireless sensor networks, due to the restricted battery capabilities of sensor nodes, the energy issue plays a critical role in network efficiency and lifespan. In our work, an upgraded long short-term memory is executed by the base station to frequently predict the forecast positions of the node with the help of load-adaptive beaconing scheduling algorithm. In recent years, new technologies for wireless charging have offered a feasible technique in overcoming the WSN energy dilemma. Researchers are deploying rechargeable wireless sensor networks that introduce high-capacity smartphone chargers for sensor nodes for charging. Nearly all R-WSN research has focused on charging static nodes with relativistic routes or mobile nodes. In this work, it is analysed how to charge nondeterministic mobility nodes in this work. In this scenario, a new mechanism is recommended, called predicting-based scheduling algorithm, to implement charging activities. In the suggested technique, it directs them to pursue the mobile charger and recharge the sensor, which is unique for the present work. The mobile charger will then choose a suitable node, utilizing a scheduling algorithm, as the charging object. A tracking algorithm based on the Kalman filter is preferred during energy transfer to determine the distance needed for charging between the destination node & mobile charger. Here, the collecting & processing of data are performed through the big data collection in WSNs. The R-WSN charging operations of nondeterministic mobility nodes will be accomplished using the proposed charging strategy.Md. Khaja MohiddinRashi KohliV. B. S. Srilatha Indira DuttPriyanka DixitGregus MichalHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Md. Khaja Mohiddin Rashi Kohli V. B. S. Srilatha Indira Dutt Priyanka Dixit Gregus Michal Energy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs
description	In wireless sensor networks, due to the restricted battery capabilities of sensor nodes, the energy issue plays a critical role in network efficiency and lifespan. In our work, an upgraded long short-term memory is executed by the base station to frequently predict the forecast positions of the node with the help of load-adaptive beaconing scheduling algorithm. In recent years, new technologies for wireless charging have offered a feasible technique in overcoming the WSN energy dilemma. Researchers are deploying rechargeable wireless sensor networks that introduce high-capacity smartphone chargers for sensor nodes for charging. Nearly all R-WSN research has focused on charging static nodes with relativistic routes or mobile nodes. In this work, it is analysed how to charge nondeterministic mobility nodes in this work. In this scenario, a new mechanism is recommended, called predicting-based scheduling algorithm, to implement charging activities. In the suggested technique, it directs them to pursue the mobile charger and recharge the sensor, which is unique for the present work. The mobile charger will then choose a suitable node, utilizing a scheduling algorithm, as the charging object. A tracking algorithm based on the Kalman filter is preferred during energy transfer to determine the distance needed for charging between the destination node & mobile charger. Here, the collecting & processing of data are performed through the big data collection in WSNs. The R-WSN charging operations of nondeterministic mobility nodes will be accomplished using the proposed charging strategy.
format	article
author	Md. Khaja Mohiddin Rashi Kohli V. B. S. Srilatha Indira Dutt Priyanka Dixit Gregus Michal
author_facet	Md. Khaja Mohiddin Rashi Kohli V. B. S. Srilatha Indira Dutt Priyanka Dixit Gregus Michal
author_sort	Md. Khaja Mohiddin
title	Energy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs
title_short	Energy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs
title_full	Energy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs
title_fullStr	Energy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs
title_full_unstemmed	Energy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs
title_sort	energy-efficient enhancement for the prediction-based scheduling algorithm for the improvement of network lifetime in wsns
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/7a48557e165a4d15b1e54f9e016688f7
work_keys_str_mv	AT mdkhajamohiddin energyefficientenhancementforthepredictionbasedschedulingalgorithmfortheimprovementofnetworklifetimeinwsns AT rashikohli energyefficientenhancementforthepredictionbasedschedulingalgorithmfortheimprovementofnetworklifetimeinwsns AT vbssrilathaindiradutt energyefficientenhancementforthepredictionbasedschedulingalgorithmfortheimprovementofnetworklifetimeinwsns AT priyankadixit energyefficientenhancementforthepredictionbasedschedulingalgorithmfortheimprovementofnetworklifetimeinwsns AT gregusmichal energyefficientenhancementforthepredictionbasedschedulingalgorithmfortheimprovementofnetworklifetimeinwsns
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Energy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs

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