Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model

Effective monitoring of illegal border crossings is a complex problem. Therefore, Border Security Systems (BSS) are deployed at border crossings to detect unauthorised intrusions. Sensor nodes continuously monitor the environment in a BSS and send the generated data to a Control Station (CS). This i...

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Main Authors: Alomari M.F., Mahmoud M.A., Yusoff Y.B., Gharaei N., Abdalla R.A., Gunasekaran S.S.
Other Authors: 57350402200
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Published: Institute of Electrical and Electronics Engineers Inc. 2024
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spelling my.uniten.dspace-345042024-10-14T11:20:15Z Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model Alomari M.F. Mahmoud M.A. Yusoff Y.B. Gharaei N. Abdalla R.A. Gunasekaran S.S. 57350402200 55247787300 56921898900 57194518462 58628584500 55652730500 Border security systems cloud storage cost optimization energy efficiency wireless power transmission wireless sensor networks Cloud storage Costs Cryptography Electric power transmission Energy efficiency Energy storage Information management Network security Optimization Power transmission Security systems Sensor nodes Storage management Border security Border security system Cloud storage cost optimization Cloud storages Cloud-computing Costs Optimization Heuristics algorithm Optimisations Security Storage costs Wireless power transmission Heuristic algorithms Effective monitoring of illegal border crossings is a complex problem. Therefore, Border Security Systems (BSS) are deployed at border crossings to detect unauthorised intrusions. Sensor nodes continuously monitor the environment in a BSS and send the generated data to a Control Station (CS). This is then synchronised with the online data storage in the cloud. However, the data that is not needed is also written to the cloud storage, which leads to an increase in the cost of the cloud service. In addition, sensor nodes have limitations in battery performance that lead to irreparable damage in BSSs. Therefore, to overcome the above limitations, a new solution is required to optimize cloud costs and provide energy services for BSSs. To this end, we present a data encryption-enabled cloud cost optimization and energy efficiency-based innovative border security model. In the proposed model, evaluators check the importance of the collected data and send only the data required to CS to reduce the cloud storage cost. Furthermore, the proposed model enhances the energy efficiency of the sensor nodes by utilizing a Power Transmitter Device (PTD) that can charge the consumer devices while moving along a predefined mobility pattern. The proposed model optimizes cloud costs by up to 93%, energy efficiency by up to 50%, and network throughput by up to 11%. Based on the simulation results, the proposed model is plausible and practical compared to similar models. � 2013 IEEE. Final 2024-10-14T03:20:14Z 2024-10-14T03:20:14Z 2023 Article 10.1109/ACCESS.2023.3317883 2-s2.0-85172993517 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172993517&doi=10.1109%2fACCESS.2023.3317883&partnerID=40&md5=bcc6935159ed3a244c383030044c7ad8 https://irepository.uniten.edu.my/handle/123456789/34504 11 104126 104141 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Border security systems
cloud storage cost optimization
energy efficiency
wireless power transmission
wireless sensor networks
Cloud storage
Costs
Cryptography
Electric power transmission
Energy efficiency
Energy storage
Information management
Network security
Optimization
Power transmission
Security systems
Sensor nodes
Storage management
Border security
Border security system
Cloud storage cost optimization
Cloud storages
Cloud-computing
Costs Optimization
Heuristics algorithm
Optimisations
Security
Storage costs
Wireless power transmission
Heuristic algorithms
spellingShingle Border security systems
cloud storage cost optimization
energy efficiency
wireless power transmission
wireless sensor networks
Cloud storage
Costs
Cryptography
Electric power transmission
Energy efficiency
Energy storage
Information management
Network security
Optimization
Power transmission
Security systems
Sensor nodes
Storage management
Border security
Border security system
Cloud storage cost optimization
Cloud storages
Cloud-computing
Costs Optimization
Heuristics algorithm
Optimisations
Security
Storage costs
Wireless power transmission
Heuristic algorithms
Alomari M.F.
Mahmoud M.A.
Yusoff Y.B.
Gharaei N.
Abdalla R.A.
Gunasekaran S.S.
Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model
description Effective monitoring of illegal border crossings is a complex problem. Therefore, Border Security Systems (BSS) are deployed at border crossings to detect unauthorised intrusions. Sensor nodes continuously monitor the environment in a BSS and send the generated data to a Control Station (CS). This is then synchronised with the online data storage in the cloud. However, the data that is not needed is also written to the cloud storage, which leads to an increase in the cost of the cloud service. In addition, sensor nodes have limitations in battery performance that lead to irreparable damage in BSSs. Therefore, to overcome the above limitations, a new solution is required to optimize cloud costs and provide energy services for BSSs. To this end, we present a data encryption-enabled cloud cost optimization and energy efficiency-based innovative border security model. In the proposed model, evaluators check the importance of the collected data and send only the data required to CS to reduce the cloud storage cost. Furthermore, the proposed model enhances the energy efficiency of the sensor nodes by utilizing a Power Transmitter Device (PTD) that can charge the consumer devices while moving along a predefined mobility pattern. The proposed model optimizes cloud costs by up to 93%, energy efficiency by up to 50%, and network throughput by up to 11%. Based on the simulation results, the proposed model is plausible and practical compared to similar models. � 2013 IEEE.
author2 57350402200
author_facet 57350402200
Alomari M.F.
Mahmoud M.A.
Yusoff Y.B.
Gharaei N.
Abdalla R.A.
Gunasekaran S.S.
format Article
author Alomari M.F.
Mahmoud M.A.
Yusoff Y.B.
Gharaei N.
Abdalla R.A.
Gunasekaran S.S.
author_sort Alomari M.F.
title Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model
title_short Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model
title_full Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model
title_fullStr Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model
title_full_unstemmed Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model
title_sort data encryption-enabled cloud cost optimization and energy efficiency-based border security model
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2024
_version_ 1814061183486918656
score 13.235362