Journal
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Volume 22, Issue 8, Pages 5223-5231Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2020.3019227
Keywords
Monitoring; Cross layer design; Electronic mail; Telecommunication network reliability; Wireless sensor networks; Transportation; 5G; self-adaptive; mobility; green and reliable communication; ITS; cross layer
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Funding
- Research Grant of PIFI 2020 [2020VBC0002]
- Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, China
- Electrical Engineering Department, Sukkur IBA University, Sukkur, Pakistan
- PR China Ministry of Education Distinguished Professor, University of Science and Technology Beijing Grant
- Centro de Competencias em Cloud Computing [Centro-01-0145-FEDER-000019-C4]
- the Programa Operacional Regional do Centro (CENTRO 2020), through the Sistema de Apoio a Investigacao Cientifica e Tecnologica-Programas Integrados de IC DT
- Technologies and Equipment Guangdong Education Bureau Fund [2017KTSCX166]
- Science and Technology Innovation Committee Foundation of Shenzhen [JCYJ201708171, 12037041, ZDSYS201703031748284002E]
- VHCA Brazilian National Council for Research and Development (CNPq) [304315/2017-6, 430274/2018-1]
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This research proposes 5G-based algorithms and frameworks for intelligent transportation systems, aiming to improve energy efficiency and reliability, and optimizing signal strength and packet loss ratio. Experimental results show significant progress in energy and reliability aspects.
Fifth generation (5G) technologies have become the center of attention in managing and monitoring high-speed transportation system effectively with the intelligent and self-adaptive sensing capabilities. Besides, the boom in portable devices has witnessed a huge breakthrough in the data driven vehicular platform. However, sensor-based Internet of Things (IoT) devices are playing the major role as edge nodes in the intelligent transportation system (ITS). Thus, due to high mobility/speed of vehicles and resource-constrained nature of edge nodes more data packets will be lost with high power drain and shorter battery life. Thus, this research significantly contributes in three ways. First, 5G-based self-adaptive green (i.e., energy efficient) algorithm is proposed. Second, a novel 5G-driven reliable algorithm is proposed. Proposed joint energy efficient and reliable approach contains four layers, i.e., application, physical, networks, and medium access control. Third, a novel joint energy efficient and reliable framework is proposed for ITS. Moreover, the energy and reliability in terms of received signal strength (RSSI) and hence packet loss ratio (PLR) optimization is performed under the constraint that all transmitted packets must utilize minimum transmission power with high reliability under particular active time slot. Experimental results reveal that the proposed approach (with Cross Layer) significantly obtains the green (55%) and reliable (41%) ITS platform unlike the Baseline (without Cross Layer) for aging society.
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