Renewable energy re-distribution via multiscale IoT for 6G-oriented green highway management
While recent works on investigating renewable energy sources for powering the highway offer promising solutions for sustainable environments, they are often impeded by unequal distribution of sources across the region due to variations in solar exposure and road intensity that electromagnetically an...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42739/1/Renewable%20energy%20re-distribution%20via%20multiscale%20IoT.pdf http://umpir.ump.edu.my/id/eprint/42739/2/Renewable%20energy%20re-distribution%20via%20multiscale%20IoT%20for%206G-Oriented%20green%20highway%20management_ABS.pdf |
| _version_ | 1824451640017551360 |
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| author | Rahman, Md Arafatur Mukta, Marufa Yeasmin Asyhari, Taufiq Moustafa, Nour Patwary, Mohammad Nuruzzaman Yousuf, Abu Razzak, Muhammad Imran Gupta, Brij Bhooshan |
| author_facet | Rahman, Md Arafatur Mukta, Marufa Yeasmin Asyhari, Taufiq Moustafa, Nour Patwary, Mohammad Nuruzzaman Yousuf, Abu Razzak, Muhammad Imran Gupta, Brij Bhooshan |
| author_sort | Rahman, Md Arafatur |
| collection | UMP |
| description | While recent works on investigating renewable energy sources for powering the highway offer promising solutions for sustainable environments, they are often impeded by unequal distribution of sources across the region due to variations in solar exposure and road intensity that electromagnetically and mechanically generate the energy. By exploiting viable gathering of massive renewable energy data using the Internet of Things (IoT), this paper proposes a framework for improved highway-energy management based on the unmanned aerial vehicle-assisted wireless energy re-distribution of the harvested renewable energy. Combining both massive low-rate sensing with high-speed 6G-envisioned transmission for data aggregation, the IoT architecture is of multi-scale, consisting of: i) global data exchange and analytics for energy mapping, re-distribution planning and forecasting, and ii) local data sensing and processing at individual highway lampposts for micro-energy management. The feasibility of the networked energy system is analyzed via analytical cost-reliability analyses. The cost analysis demonstrates the cost-effectiveness through the lowest Requirement of Energy and Cost of Energy for the setup and maintenance. The reliability analysis reveals the energy plus (E+) feature of the system in certain conditions with enhanced reliability in adverse weathers that impact energy generation. With multi-scale data connectivity to intelligently manage standalone renewable energy, this work puts forward a viable idea of 6G use cases with massively networked energy sensors with a vision of achieving super-connected and intelligence-equipped highways. |
| first_indexed | 2025-02-19T02:37:50Z |
| format | Article |
| id | UMPir42739 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2025-02-19T02:37:50Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir427392025-01-07T03:59:53Z http://umpir.ump.edu.my/id/eprint/42739/ Renewable energy re-distribution via multiscale IoT for 6G-oriented green highway management Rahman, Md Arafatur Mukta, Marufa Yeasmin Asyhari, Taufiq Moustafa, Nour Patwary, Mohammad Nuruzzaman Yousuf, Abu Razzak, Muhammad Imran Gupta, Brij Bhooshan QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) While recent works on investigating renewable energy sources for powering the highway offer promising solutions for sustainable environments, they are often impeded by unequal distribution of sources across the region due to variations in solar exposure and road intensity that electromagnetically and mechanically generate the energy. By exploiting viable gathering of massive renewable energy data using the Internet of Things (IoT), this paper proposes a framework for improved highway-energy management based on the unmanned aerial vehicle-assisted wireless energy re-distribution of the harvested renewable energy. Combining both massive low-rate sensing with high-speed 6G-envisioned transmission for data aggregation, the IoT architecture is of multi-scale, consisting of: i) global data exchange and analytics for energy mapping, re-distribution planning and forecasting, and ii) local data sensing and processing at individual highway lampposts for micro-energy management. The feasibility of the networked energy system is analyzed via analytical cost-reliability analyses. The cost analysis demonstrates the cost-effectiveness through the lowest Requirement of Energy and Cost of Energy for the setup and maintenance. The reliability analysis reveals the energy plus (E+) feature of the system in certain conditions with enhanced reliability in adverse weathers that impact energy generation. With multi-scale data connectivity to intelligently manage standalone renewable energy, this work puts forward a viable idea of 6G use cases with massively networked energy sensors with a vision of achieving super-connected and intelligence-equipped highways. Institute of Electrical and Electronics Engineers Inc. 2022-12-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42739/1/Renewable%20energy%20re-distribution%20via%20multiscale%20IoT.pdf pdf en http://umpir.ump.edu.my/id/eprint/42739/2/Renewable%20energy%20re-distribution%20via%20multiscale%20IoT%20for%206G-Oriented%20green%20highway%20management_ABS.pdf Rahman, Md Arafatur and Mukta, Marufa Yeasmin and Asyhari, Taufiq and Moustafa, Nour and Patwary, Mohammad Nuruzzaman and Yousuf, Abu and Razzak, Muhammad Imran and Gupta, Brij Bhooshan (2022) Renewable energy re-distribution via multiscale IoT for 6G-oriented green highway management. IEEE Transactions on Intelligent Transportation Systems, 23 (12). pp. 23771-23780. ISSN 1524-9050. (Published) https://doi.org/10.1109/TITS.2022.3203208 https://doi.org/10.1109/TITS.2022.3203208 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Rahman, Md Arafatur Mukta, Marufa Yeasmin Asyhari, Taufiq Moustafa, Nour Patwary, Mohammad Nuruzzaman Yousuf, Abu Razzak, Muhammad Imran Gupta, Brij Bhooshan Renewable energy re-distribution via multiscale IoT for 6G-oriented green highway management |
| title | Renewable energy re-distribution via multiscale IoT for 6G-oriented green highway management |
| title_full | Renewable energy re-distribution via multiscale IoT for 6G-oriented green highway management |
| title_fullStr | Renewable energy re-distribution via multiscale IoT for 6G-oriented green highway management |
| title_full_unstemmed | Renewable energy re-distribution via multiscale IoT for 6G-oriented green highway management |
| title_short | Renewable energy re-distribution via multiscale IoT for 6G-oriented green highway management |
| title_sort | renewable energy re distribution via multiscale iot for 6g oriented green highway management |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/42739/1/Renewable%20energy%20re-distribution%20via%20multiscale%20IoT.pdf http://umpir.ump.edu.my/id/eprint/42739/2/Renewable%20energy%20re-distribution%20via%20multiscale%20IoT%20for%206G-Oriented%20green%20highway%20management_ABS.pdf |
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