Heuristic green computing based energy management with security enhancement using hybrid greedy secure optimal routing protocol
Green information technology (Green TI/GC) is provided by green computing, one of the emerging computing technologies in field of computer science engineering and technology. The main objectives of green computing are raising energy efficiency and lowering the use of hazardous materials. This Resear...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723000598 |
| _version_ | 1797781962459447296 |
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| author | A. Sheryl Oliver Bhavani Ravi R. Manikandan Ashutosh Sharma Byung-Gyu Kim |
| author_facet | A. Sheryl Oliver Bhavani Ravi R. Manikandan Ashutosh Sharma Byung-Gyu Kim |
| author_sort | A. Sheryl Oliver |
| collection | DOAJ |
| description | Green information technology (Green TI/GC) is provided by green computing, one of the emerging computing technologies in field of computer science engineering and technology. The main objectives of green computing are raising energy efficiency and lowering the use of hazardous materials. This Research propose novel technique in energy management with security enhancement based on heuristic green computing technique and optimised routing protocol. The energy management in green computing is carried out for enhancing the energy efficiency of the network using heuristic green computing technique. Then the security analysis has been carried out for secure data transmission of the network using Hybrid Greedy Secure Optimal Routing Protocol (Hy_GSOpRP). The suggested routing method is superior than the existing ones, according to simulation findings, in terms of MAPE of 62%, MLR of 55%, RMSE of 45%, energy consumption of 59%, network lifetime of 95%, delay of 40% and throughput of 98%. |
| first_indexed | 2024-03-13T00:04:21Z |
| format | Article |
| id | doaj.art-e8580cde53184f55aca4524018e74f3b |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T00:04:21Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-e8580cde53184f55aca4524018e74f3b2023-07-13T05:29:14ZengElsevierEnergy Reports2352-48472023-12-01924942505Heuristic green computing based energy management with security enhancement using hybrid greedy secure optimal routing protocolA. Sheryl Oliver0Bhavani Ravi1R. Manikandan2Ashutosh Sharma3Byung-Gyu Kim4Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, IndiaInstitute of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 600124, IndiaSchool of Computing, SASTRA Deemed University, Thanjavur, IndiaSchool of Computer Science, University of Petroleum and Energy Studies, Dehradun, IndiaDepartment of IT Engineering, Sookmyung Women’s University, Republic of Korea; Corresponding author.Green information technology (Green TI/GC) is provided by green computing, one of the emerging computing technologies in field of computer science engineering and technology. The main objectives of green computing are raising energy efficiency and lowering the use of hazardous materials. This Research propose novel technique in energy management with security enhancement based on heuristic green computing technique and optimised routing protocol. The energy management in green computing is carried out for enhancing the energy efficiency of the network using heuristic green computing technique. Then the security analysis has been carried out for secure data transmission of the network using Hybrid Greedy Secure Optimal Routing Protocol (Hy_GSOpRP). The suggested routing method is superior than the existing ones, according to simulation findings, in terms of MAPE of 62%, MLR of 55%, RMSE of 45%, energy consumption of 59%, network lifetime of 95%, delay of 40% and throughput of 98%.http://www.sciencedirect.com/science/article/pii/S2352484723000598Green computingEnergy managementSecurity enhancementRouting protocolSecure data transmission |
| spellingShingle | A. Sheryl Oliver Bhavani Ravi R. Manikandan Ashutosh Sharma Byung-Gyu Kim Heuristic green computing based energy management with security enhancement using hybrid greedy secure optimal routing protocol Energy Reports Green computing Energy management Security enhancement Routing protocol Secure data transmission |
| title | Heuristic green computing based energy management with security enhancement using hybrid greedy secure optimal routing protocol |
| title_full | Heuristic green computing based energy management with security enhancement using hybrid greedy secure optimal routing protocol |
| title_fullStr | Heuristic green computing based energy management with security enhancement using hybrid greedy secure optimal routing protocol |
| title_full_unstemmed | Heuristic green computing based energy management with security enhancement using hybrid greedy secure optimal routing protocol |
| title_short | Heuristic green computing based energy management with security enhancement using hybrid greedy secure optimal routing protocol |
| title_sort | heuristic green computing based energy management with security enhancement using hybrid greedy secure optimal routing protocol |
| topic | Green computing Energy management Security enhancement Routing protocol Secure data transmission |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723000598 |
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