TY - JOUR
T1 - Towards 5G-Enabled Self Adaptive Green and Reliable Communication in Intelligent Transportation System
AU - Sodhro, Ali Hassan
AU - Pirbhulal, Sandeep
AU - Sodhro, Gul Hassan
AU - Muzammal, Muhammad
AU - Zongwei, Luo
AU - Gurtov, Andrei
AU - de Macêdo, Antônio Roberto L.
AU - Wang, Lei
AU - Garcia, Nuno M.
AU - de Albuquerque, Victor Hugo C.
N1 - Funding information: This work was supported in part by the Research Grant of PIFI 2020 under Grant 2020VBC0002, in part by the Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, China, in part by the Electrical Engineering Department, Sukkur IBA University, Sukkur, Pakistan, in part by the PR China Ministry of Education Distinguished Professor, University of Science and Technology Beijing Grant, in part by the Operação Centro-01-0145-FEDER-000019–C4-Centro de Competências em Cloud Computing, co-financed by the Programa Operacional Regional do Centro (CENTRO 2020), through the Sistema de Apoio à Investigação Científica e Tecnológica–Programas Integrados de IC DT, in part by the Technologies and Equipment Guangdong Education Bureau Fund under Grant 2017KTSCX166, in part by the Science and Technology Innovation Committee Foundation of Shenzhen under Grant JCYJ201708171 and Grant 12037041, in part by the Science and Technology Innovation Committee Foundation of Shenzhen under Grant ZDSYS201703031748284002E, and in part by the VHCA Brazilian National Council for Research and Development (CNPq ) under Grant 304315/2017-6 and Grant 430274/2018-1.
PY - 2021/8
Y1 - 2021/8
N2 - 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.
AB - 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.
KW - 5G
KW - cross layer
KW - green and reliable communication
KW - ITS
KW - mobility
KW - self-adaptive
UR - http://www.scopus.com/inward/record.url?scp=85106993981&partnerID=8YFLogxK
U2 - 10.1109/TITS.2020.3019227
DO - 10.1109/TITS.2020.3019227
M3 - Article
AN - SCOPUS:85106993981
SN - 1524-9050
VL - 22
SP - 5223
EP - 5231
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 8
ER -
