International Research Journal of Engineering and Technology (IRJET) Volume: 04 Issue: 04 | Apr -2017
www.irjet.net
e-ISSN: 2395 -0056 p-ISSN: 2395-0072
Social Internet of Vehicles Sakhil P George1, Nivya Wilson2, Krishnapriya U Nair3, Kareeshma Michael4, Mayble B Aricatt5, Thomas George K6 1Dept.of
CSE, Jyothi Engineering College, Kerala, India CSE, Jyothi Engineering College, Kerala, India 3Dept.of CSE, Jyothi Engineering College, Kerala, India 4Dept.of CSE, Jyothi Engineering College, Kerala, India 5Dept.of CSE, Jyothi Engineering College, Kerala, India 6Professor, Dept.of Computer Science Engineering, Jyothi Engineering College, Kerala, India 2Dept.of
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Abstract - The main vision of the Internet of Things (IoT) is
to equip real-life physical objects with computing and communication power so that they can interact with each other for the social good. As one of the key members of IoT, Internet of Vehicles (IoV) has seen steep advancement in communication technologies. Now, vehicles can easily exchange safety, efficiency, infotainment, and comfort-related information with other vehicles and infrastructures using vehicular ad hoc networks (VANETs). We leverage on the cloud-based VANETs theme to propose cyber physical architecture for the Social IoV (SIoV). SIoV is a vehicular instance of the Social IoT (SIoT), where vehicles are the key social entities in the machine-to-machine vehicular social networks. We have identified the social structures of SIoV components, their relationships, and the interaction types. We have mapped VANETs components into IoT-A architecture reference model to offer better integration of SIoV with other IoT domains. We also present a communication message structure based on automotive ontologies, the SAE J2735 message set, and the advanced traveler information system events schema that corresponds to the social graph. Finally, we provide the implementation details and the experimental analysis to demonstrate the efficacy of the proposed system as well as include different application scenarios for various user groups.
Key Words: Social network of vehicles, Cyber-physical systems, Internet of Things, Internet of Vehicles, IoT architecture reference model, Intelligent transport systems, SAE J2735.
1. INTRODUCTION The growing technological advancements in the field of information technology have made Smart Cities a thing of near future. In aSmart City,all objects would have embedded processors and capability to communicate with each other through wired or wireless connections. These increasingly © 2017, IRJET
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Impact Factor value: 5.181
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intelligent objects would provide safe and convenient environment through increased interconnection and interoperability, which is also termed as InternetofThings(IoT). Within the objectives of IoT, vehicles play an important role for safe and convenient travel that leads to Internet of Vehicles (IoV). The number of vehicles has increased dramatically in recent times . Almost all major cities experience heavy traffic during peak hours. An unfortunate accident or even a small road maintenance task can cause a huge traffic jam and further accidents. In US alone, more than 16,000 crashes take place every day on highways . Driver fatigue and lack of early warning system is responsible for these crashes . Watchful suggestions from the surrounding vehicles could be vital in these cases to provide improved safety to the vehicle users. State-of-the-art vehicles are equipped with advanced technologies that enable them to communicate with nearby vehicles by forming vehicular ad-hoc networks (VANETs) . There has been growing interest in building vehicular social network (VSN) where passengers can engage into entertainment, utility, and emergency related data exchanges . This type of social network belongs to the mobile social network (MSN) category where mobile users share user centric information with each other using mobile devices .
2. RELATED WORKS Paper [1] implements on-board diagnostic and GPS on VANET to safe the vehicle. In this paper, we use the communication of intravehicle and V2V to enable the safety of the vehicle. We extracted the vehicle information by connecting the OBD system using Pad’s Bluetooth interface. And a WIFI connection enables the Pad to present a GUI for anti-collision warning, which is based on an offline map to show the real time GPS information of vehicles. Furthermore, we used the system board which supported the IEEE 802.11p/1609.X protocols to make information exchanged ISO 9001:2008 Certified Journal
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