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3 articles for “Internet of Vehicles (IoV)”
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Detecting Vehicular Congestion Using Fog Computing
Abstract: Traffic congestion has become a major challenge for modern transportation systems, leading to increased travel time, fuel consumption and air pollution. To address this issue, Internet of Vehicles (IoV) has emerged as a promising technology for detecting traffic congestion in real-time. This study discusses a research investigation that explores the utilization of Fog Computing principles to detect traffic congestion. The proposed system utilizes sensors to capture traffic data and send …
Published in Journal of Open Source Developments · Vol. 10, Issue 2, 2023 · pp. 12–22 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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Secured IPv6 based IoT Programming using Contiki and Cooja
Abstract: ABSTRACTThe current era is surrounded with enormous devices and gadgets connected with each other using high performance technologies. Such type of technology loaded object communication is treated under the aegis of Internet of Things (IoT). A number of applications are using IoT based communication whether it is related to defense equipments, smart cities, smart offices, highway patrolling, smart toll collections, business communications, satellite televisions, traffic systems or interconnected web cams …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 2, 2017 · pp. 9–14 Read article