Performance Evaluation of IEEE 802.15.4 Nonbeacon-Enabled Mode for Internet of Vehicles
Abstract
The Internet of Vehicle (IoV) network refers to networking technologies that could support highly economical and effective communication channels for interactions between vehicles. The success of IoV relies on efficient vehicle-to-infrastructure (V2I) or vehicle-to-vehicle (V2V) communications. Among all existing communication standards, the IEEE 802.15.4 standard, which comprises a simple physical (PHY) layer and an energy-efficient medium access control, is a promising candidate for IoV networks. In this paper, we propose analytical models for IEEE 802.15.4 nonbeacon-enabled mode for IoV by considering two major features, i.e., non-saturated traffic pattern and large-scale network, in IoV applications. We investigate the performance of IEEE 802.15.4 nonbeacon-enabled mode for IoV. Our study can provide guidelines for vehicles to dynamically adjust the broadcasting rate and achieve a higher probability of success in such communications. 2000-2011 IEEE.
Collections
- Computer Science & Engineering [2284 items ]
Related items
Showing items related by title, author, creator and subject.
-
An enhanced performance IPT based battery charger for electric vehicles application
Abdelhamid, E.; Abdelsalam, A.K.; Massoud, Ahmed; Ahmed, S. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)World-wide scientists/engineers were motivated to research in the area of renewable energy resources and to reduce the consumption of fossil fuels. Hence, electric and hybrid vehicles have won the attention of many researchers ... -
Electric vehicles charging management using machine learning considering fast charging and vehicle-to-grid operation
Shibl, M.; Ismail, L.; Massoud, Ahmed ( MDPI , 2021 , Article)Electric vehicles (EVs) have gained in popularity over the years. The charging of a high number of EVs harms the distribution system. As a result, increased transformer overloads, power losses, and voltage fluctuations may ... -
Reinforcement Learning-based Control of Signalized Intersections having Platoons
Berbar, A.; Gastli, A.; Meskin, Nader; Al-Hitmi, M.; Ghommam, J.; Mesbah, M.; Mnif, F.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Smart transportation cities are based on intelligent systems and data sharing while human drivers generally have limited capabilities and imperfect observations in traffics. The perception of Connected and Autonomous Vehicle ...