Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Chouhan, Piyush
- Multipath Routing for Internet of Vehicles using Master of Controller in Road Awareness (MRMOC-IOV)
Abstract Views :261 |
PDF Views:9
Authors
Affiliations
1 Department of Electronics Engineering, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, IN
1 Department of Electronics Engineering, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, IN
Source
International Journal of Computer Networks and Applications, Vol 7, No 4 (2020), Pagination: 116-125Abstract
Internet of Vehicles (IOV) is the recent advancement in the field of transportation which contains smart devices to make transportation easy and reliable. Road awareness also makes use of the internet of vehicles with the help of a master of control, so it needs a secure routing approach to provide the scalability to the architecture and to increase the flexibility of the system as well. This work proposed a multipath routing with extension (MDR-Ext) approach for road awareness by making use of the master of control (MOC) for establishing the network of vehicles. The system works by getting the frequent information of the vehicle details in the network by the brink controller (BC). The BC receives this data from vehicles that proceed to the MOC controller to calculate the shortest path for communication between vehicles with data packets. The path is interpreted by the MOC controller and path updating is done by the values receiving from BC at a regular interval. The proposed approach works well and the shattering of the network due to mobility is overcome through the BC. In this proposed approach packet delivery ratio could be achieved up to 95.7% better throughput up to 4244.456 kbps, low normalized routing overhead up to 8.88 bytes with less energy consumption up to 31.38 joules for multipath routing with extension approach. It is clear that MDR-EXT for MOC with the brink controller gives better performance as compared to TDR-Ext and DODR-Ext.Keywords
Internet of Vehicles (IOV), Road Awareness, Master of Control (MOC), Brink Controller (BC), Extension and Regional ControllerFull Text
References
- M. Jamal, A. Saleem, I. Khalid, H. Husnain, and R. Sherazi, “A Congestion Aware Route Suggestion Protocol for Traffic Management in Internet of Vehicles,” Arab. J. Sci. Eng., 45, 2501-2511 (2019) doi: 10.1007/s13369-019-04099-9.
- P. Bagga, A. K. Das, S. Member, and Y. Park, “Authentication Protocols in Internet of Vehicles : Taxonomy , Analysis , and Challenges,” IEEE Access, vol. 8, pp. 54314–54344, 2020, doi: 10.1109/ACCESS.2020.2981397.
- R. Gasmi, M. Aliouat, and H. Seba, “A Stable Link Based Zone Routing Protocol ( SL ‑ ZRP ) for Internet of Vehicles Environment,” Wirel. Pers. Communication, 112, 1045-1060 (2020), doi: 10.1007/s11277-020-07090-y.
- N. Noorani, S. Amin, and H. Seno, “SDN- and fog computing-based switchable routing using path stability estimation for vehicular ad hoc networks,” Peer-to-Peer Networking and Applications vol. 13, pp. 948–964, 2020, doi: 10.1007/s12083-019-00859-4.
- C. Chen, S. Member, T. Xiao, M. Zhang, Q. Pei, and S. Member, “PTCCR : A Path Transmission Costs-Based Multi-Lane Connectivity Routing Protocol for Urban Internet of Vehicles,” IEEE Access, vol. 7, pp. 141838–141849, 2019, doi: 10.1109/ACCESS.2019.2943175.
- Muhammad Arif, Guojun Wang, Valentina Emilia Balas, Oana Geman, Aniello Castiglione, Jianer Chen "SDN Based communications privacy-preserving architecture for VANET using fog computing" Veh. Commun. (2020), https://doi.org/10.1016/j.vehcom.2020.100265.
- T. E. X. C. Files, “ACO-based Dynamic Decision Making for Connected Vehicles in IoT System,” IEEE Transactions on Industrial Informatics , vol. 15, issue 10, pp. 5648-5655, 2019, doi: 10.1109/TII.2019.2906886.
- C. Wang, L. Zhang, Z. Li, and C. Jiang, “SDCoR : Software Defined Cognitive Routing for Internet of Vehicles,” IEEE Internet of Things Journal, vol. 5 , issue 5 , pp. 3513-3520, 2018, doi: 10.1109/JIOT.2018.2812210.
- K. Z. Ghafoor et al., “Quality of Service Aware Routing Protocol in Software-Defined Internet of Vehicles,” IEEE Internet of Things Journal, vol. 6 , issue 2 , pp. 2817-2828, 2018, doi: 10.1109/JIOT.2018.2875482.
- Damigou Kombate and Wanglina "The Internet of Vehicles Based on 5G communication" 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Chengdu, China 15-18 Dec. 2016, doi 10.1109/iThings-GreenCom-CPSCom-SmartData.2016.105.
- Gongjun Yan ; Stephan Olariu “A probabilistic analysis of link duration in vehicular ad hoc networks” IEEE Transactions on Intelligent Transportation Systems vol. 12 , issue 4, pp. 1227-1236, 2011, doi: 10.1109/TITS.2011.2156406.
- K. A. I. Peng et al., “A Hybrid Genetic Algorithm on Routing and Scheduling for Vehicle-Assisted Multi-Drone Parcel Delivery,” IEEE Access, vol. 7, pp. 49191-49200, 2019, doi: 10.1109/ACCESS.2019.2910134.
- M. Oche, A. Bello, T. Christopher, C. Rafidah, and S. Distefano, "VANETs QoS-based routing protocols based on multi-constrained ability to support ITS infotainment services", Wireless Networks 26, 1685–1715 (2018), doi: 10.1007/s11276-018-1860-7.
- L. Wu, Z. He, Y. Chen, D. Wu, and J. Cui, “Brainstorming-based Ant Colony Optimization for Vehicle Routing with Soft Time Windows,” IEEE Access, vol. 7, pp. 19643-19652, 2019, doi: 10.1109/ACCESS.2019.2894681.
- L. Zhu, C. Zhang, C. Xu, X. Du, S. Member, and R. Xu, “PRIF : A Privacy-Preserving Interest-Based Forwarding Scheme for Social Internet of Vehicles,” IEEE Internet of Things Journal, vol. 5, issue 4, pp. 2457-2466, 2018, doi: 10.1109/JIOT.2018.2846653.
- K. Lin, C. Li, G. Fortino, and J. J. P. C. Rodrigues, “Vehicle Route Selection Based on Game Evolution in Social Internet of Vehicles,” IEEE Internet of Things Journal vol. 5, issue 4, pp. 2423-2430, 2018, doi: 10.1109/JIOT.2018.2844215.
- A. Bujari, O. Gaggi, C. E. Palazzi, and D. Ronzani, “Would Current Ad-Hoc Routing Protocols be Adequate for the Internet of Vehicles ? A Comparative Study,” IEEE Internet of Things Journal vol. 5, issue 5, pp. 3683-3691, 2018, doi: 10.1109/JIOT.2018.2812727.
- Mohamed Abdelsalam, Talal Bonny “IOV Road Safety: Vehicle Speed Limiting System” 2019 International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 19-21 March 2019, doi: 10.1109/ICCSPA.2019.8713713.
- C. Huang, T. Lin, and K. Tseng, “Data Dissemination of Application Service by Using Member-Centric Routing Protocol in a Platoon of Internet of Vehicle ( IoV ),” IEEE Access, vol. 7 pp. 127713-127727, 2019, doi: 10.1109/ACCESS.2019.2936456.
- A. N. Hassan and O. Kaiwartya, “Inter Vehicle Distance Based Commectivity Aware Routing in Vehicular Adhoc NEtworks,” Wirel. Pers. Commun 98, 33-54 (2017), doi: 10.1007/s11277-017-4831-x.
- D. Wang, “A Novel QoS-Awared Grid Routing Protocol in the Sensing Layer of Internet of Vehicles Based on Reinforcement Learning,” IEEE Access, vol. 7, pp. 185730–185739, 2019, doi: 10.1109/ACCESS.2019.2961331.
- N. A. Lin, S. Member, Y. Shi, and S. Member, “An Effective Order-Aware Hybrid Genetic Algorithm for Capacitated Vehicle Routing Problems in Internet of Things,” IEEE Access, vol. 7, pp. 86102-86114, 2019.
- X. Wang, H. Cheng, and D. Le, “A routing scheme for connecting delay-sensitive urban vehicular networks to the IPv6-based internet,” Telecommun. Syst. 69, 349-364 (2018), doi: 10.1007/s11235-018-0443-3.
- D. Tian, S. Member, K. Zheng, J. Zhou, X. Duan, and Y. Wang, “A Microbial Inspired Routing Protocol for VANETs,” IEEE Internet of Things Journal vol. 5, issue 4, pp. 2293-2303, pp. 1–10, 2017, doi: 10.1109/JIOT.2017.2737466.
- M. Hu et al., “Joint Routing and Scheduling for Vehicle-Assisted Multi-Drone Surveillance,” IEEE Internet of Things Journal , vol. 6, issue 2, pp. 1781–1790, 2018, doi: 10.1109/JIOT.2018.2878602.