Route Planning Using Multicasting Approach in Vehicular Ad Hoc Networks
It is essential to ensure the safety, comfort, mobility, and quality of enormous traffic commonly seen in smart cities every day. Intelligent transport systems (ITS) are introduced to provide such facilities. A Vehicular Ad-Hoc Network (VANET) is a network made up of multiple vehicular nodes that ca...
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Published in | Wireless personal communications Vol. 130; no. 3; pp. 1795 - 1817 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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01.06.2023
Springer Nature B.V |
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Abstract | It is essential to ensure the safety, comfort, mobility, and quality of enormous traffic commonly seen in smart cities every day. Intelligent transport systems (ITS) are introduced to provide such facilities. A Vehicular Ad-Hoc Network (VANET) is a network made up of multiple vehicular nodes that can freely join and exit the network. VANET is an important part of the ITS development process for all applications. Several researchers from all over the world have been drawn to this new research subject. VANETs are mainly used to make sure the protection of vehicles on the street and to enhance visitors’ performance and luxury for individuals. Due to the growing mobility of vehicles inside VANETs, it’s far tough to set up a safe and efficient route between the source and destination nodes. To choose the path between source and destination, this study analyses two factors: the least hop count and the sequence number. Firstly, the path is established using the multi-casting method in this research work. After that, the data is routed to select the root nodes from the network in the multi-casting method. Then the path is selected amid source and destination using a root node. The projected method is deployed on Network Simulator-2 (NS2), and the analytic outcomes are obtained to evaluate specific parametric values. The result shows that packet loss is reduced by 59.1% and delay is reduced by 18.2% when the multi-casting technique is used for establishing a path between source to destination as compared to the broadcasting method besides it throughput has also increased by 74% in the multi-casting domain compared to other existing methods. |
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AbstractList | It is essential to ensure the safety, comfort, mobility, and quality of enormous traffic commonly seen in smart cities every day. Intelligent transport systems (ITS) are introduced to provide such facilities. A Vehicular Ad-Hoc Network (VANET) is a network made up of multiple vehicular nodes that can freely join and exit the network. VANET is an important part of the ITS development process for all applications. Several researchers from all over the world have been drawn to this new research subject. VANETs are mainly used to make sure the protection of vehicles on the street and to enhance visitors’ performance and luxury for individuals. Due to the growing mobility of vehicles inside VANETs, it’s far tough to set up a safe and efficient route between the source and destination nodes. To choose the path between source and destination, this study analyses two factors: the least hop count and the sequence number. Firstly, the path is established using the multi-casting method in this research work. After that, the data is routed to select the root nodes from the network in the multi-casting method. Then the path is selected amid source and destination using a root node. The projected method is deployed on Network Simulator-2 (NS2), and the analytic outcomes are obtained to evaluate specific parametric values. The result shows that packet loss is reduced by 59.1% and delay is reduced by 18.2% when the multi-casting technique is used for establishing a path between source to destination as compared to the broadcasting method besides it throughput has also increased by 74% in the multi-casting domain compared to other existing methods. |
Author | Chaurasiya, Vijay Kumar Mishra, Yogesh Chandra Kumar, Ritesh |
Author_xml | – sequence: 1 givenname: Ritesh orcidid: 0000-0001-7934-2369 surname: Kumar fullname: Kumar, Ritesh email: pwc2016002@iiita.ac.in organization: Indian Institute of Information Technology – sequence: 2 givenname: Yogesh Chandra surname: Mishra fullname: Mishra, Yogesh Chandra organization: Indian Institute of Information Technology, IIIT – sequence: 3 givenname: Vijay Kumar surname: Chaurasiya fullname: Chaurasiya, Vijay Kumar organization: Indian Institute of Information Technology, IIIT |
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References | GuoCLiDZhangGZhaiMReal-time path planning in urban area via VANET-assisted traffic information sharingIEEE Transactions on Vehicular Technology20186775635564910.1109/TVT.2018.2806979 Setiabudi, A., Pratiwi, A. A., Perdana, A. A., Sari, R. F., et al. (2016). Performance comparison of GPSR and ZRP routing protocols in VANET environment. In 2016 IEEE region 10 symposium (TENSYMP) (pp. 42–47). IEEE. Malathi, A., & Sreenath, N. (2017). Multicast routing selection for VANET using hybrid scatter search ABC algorithm. In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) (pp. 441–446). IEEE. Samaras, N. S. (2016). Using basic MANET routing algorithms for data dissemination in vehicular Ad Hoc Networks (VANETs). In 2016 24th Telecommunications Forum (TELFOR) (pp. 1–4). IEEE. Wu, H., Fujimoto, R., Guensler, R., & Hunter, M. (2004). MDDV: A mobility-centric data dissemination algorithm for vehicular networks. In Proceedings of the 1st ACM International Workshop on Vehicular Ad Hoc Networks (pp. 47–56). OubbatiOSAtiquzzamanMLorenzPBazAAlhakamiHSEARCH: An SDN-enabled approach for vehicle path-planningIEEE Transactions on Vehicular Technology20206912145231453610.1109/TVT.2020.3043306 YangZWuWChenYLinXChenXNavigation route based stable clustering for vehicular ad hoc networksChina Communications2018153425610.1109/CC.2018.8331990 Zhou, P., Nadeem, T., Kang, P., Borcea, C., & Iftode, L. (2005). “EZCab: A cab booking application using short-range wireless communication. In Third IEEE International Conference on Pervasive Computing and Communications (pp. 27–38). IEEE. Sachdev, A., Mehta, K., & Malik, L. (2016). Design of Protocol for cluster based routing in VANET using Fire Fly Algorithm. In 2016 IEEE International Conference on Engineering and Technology (ICETECH) (pp. 490–495). IEEE. Tian, L., Han, L., & Rothermel, K. (2003) “Spatially aware packet routing for mobile ad hoc inter-vehicle radio networks. In Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems (Vol. 2, pp. 1546–1551). IEEE. Noguchi, T., & Tanaka, N. (2017) Efficient vehicle visualization system for safe driving in VANETs. In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (pp. 1–7). IEEE. Gupta, A., Singh, R., Ather, D., & Shukla, R. S. (2016). Comparison of various routing algorithms for VANETS. In 2016 International Conference System Modeling & Advancement in Research Trends (SMART) (pp. 153–157). IEEE. Hu, T., Liwang, M., Huang, L., & Tang, Y. (2015). An enhanced GPSR routing protocol based on the buffer length of nodes for the congestion problem in VANETs. In 2015 10th International Conference on Computer Science and Education (ICCSE), (pp. 416–419). IEEE. Jahan, R., & Suman, P. (2016). Detection of malicious node and development of routing strategy in VANET. In 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 472–476). IEEE. ZhaoJCaoGVADD: Vehicle-assisted data delivery in vehicular ad hoc networksIEEE Transactions on Vehicular Technology20085731910192210.1109/TVT.2007.901869 Regragui, Y., & Moussa, N. (2018). Investigating the impact of real-time path planning on reducing vehicles traveling time. In 2018 International Conference on Advanced Communication Technologies and Networking (CommNet) (pp. 1–6). IEEE. Nha, V.T.N., Djahel, S., & Murphy, J. (2012) A comparative study of vehicles’ routing algorithms for route planning in smart cities. In 2012 First International Workshop on Vehicular Traffic Management for Smart Cities (VTM) (pp. 1–6). IEEE. RivaONadeemTBorceaCIftodeLContext-aware migratory services in ad hoc networksIEEE Transactions on Mobile Computing20076121313132810.1109/TMC.2007.1053 HuoJWenXLiuLWangLLiMLuZCHRT: Clustering-based hybrid re-routing system for traffic congestion avoidanceChina Communications20211878610210.23919/JCC.2021.07.008 Basil, A. K., Ismail, A. K., Altahrawi, M. A., Mahdi, H., & Ramli, N. (2017). Performance of AODV and OLSR routing protocols in VANET under various traffic scenarios. In 2017 IEEE 13th Malaysia International Conference on Communications (MICC) (pp. 107–112). IEEE. Shaikh, F. I., & Hingoliwala, H. A. (2017) Path planning based QoS routing in VANET. In 2017 International Conference on Big Data, IoT and Data Science (BID) (pp. 37–43). IEEE. Ali, A.K., Phillips, I., & Yang, H. (2016). Evaluating VANET routing in urban environments. In 2016 39th International Conference on Telecommunications and Signal Processing (TSP) (pp. 60–63). IEEE. XiaYQinXLiuBZhangPA greedy traffic light and queue aware routing protocol for urban VANETsChina Communications2018157778710.1109/CC.2018.8424605 WangMShanHLuRZhangRShenXBaiFReal-time path planning based on hybrid-VANET-enhanced transportation systemIEEE Transactions on Vehicular Technology20146451664167810.1109/TVT.2014.2335201 AhmadINoorRMAhmedyIShahSAAYaqoobIAhmedEImranMVANET-LTE based heterogeneous vehicular clustering for driving assistance and route planning applicationsComputer Networks201814512814010.1016/j.comnet.2018.08.018 Li, L., Hazra, S. K., & Seah, W. (2005). A position-based routing protocol for metropolitan bus networks. In 2005 IEEE 61st Vehicular Technology Conference (Vol. 4, pp. 2315–2319). IEEE. Kaur, H., et al. (2017). Analysis of VANET geographic routing protocols on real city map. In 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 895–899). IEEE. Kang, S.-S., Chae, Y.-E., & Yeon, S. (2017) VANET routing algorithm performance comparison using ns-3 and SUMO. In 2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) (pp. 1–5). IEEE. Dong, W., Lin, F., Zhang, H., & Yin, Y. (2017) A cluster-based recursive broadcast routing algorithm to propagate emergency messages in city VANETs. In 2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN) (pp. 187–190). IEEE. Dashtinezhad, S., Nadeem, T., Dorohonceanu, B., Borcea, C., Kang, P., & Iftode, L. (2004). TrafficView: A driver assistant device for traffic monitoring based on car-to-car communication. In 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No. 04CH37514) (Vol. 5, pp. 2946–2950). IEEE. Sumon, N., & Jaekel, A. (2018). Fuel efficient route planning using VANET. In 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). (pp. 468–474). IEEE. Rashdan, I., de Ponte Muller, F., & Sand, S. (2016). Performance evaluation of traffic information dissemination protocols for dynamic route planning application in VANETs. In 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall) (pp. 1–5). IEEE. ShahPKasbeTA review on specification evaluation of broadcasting routing protocols in VANETComputer Science Review20214110041810.1016/j.cosrev.2021.100418 DileepkumarRNagasriBLight weight materials based vehicle secure path planning algorithm for multi constrained QoS routing VANETSMaterials Today: Proceedings202147387390 Nam, J., Kim, S.-M., & Min, S.-G. (2015). Extended wireless mesh network for VANET with geographical routing protocol. Hamid, B., & El Mokhtar, E.-N. (2015) Performance analysis of the Vehicular Ad hoc Networks (VANET) routing protocols AODV, DSDV and OLSR. In 2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA) (pp. 1–6). IEEE. Cao, H., Wu, W., & Chen, Y. (2014). A navigation route based minimum dominating set algorithm in VANETs. In 2014 International Conference on Smart Computing Workshops (pp. 71–76). IEEE. Kumar, R., & Routray, S. K. (2016). Ant colony based dynamic source routing for VANET. In 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (ICATCCT) (pp. 279–282). IEEE. Ramkumar, P., Uma, R., Usha, S., & Valarmathi, R. (2020). Real time path planning using intelligent transportation system for hybrid VANET. In 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) (pp. 1–7). IEEE. Laanaoui, M. D., & Raghay, S. (2016). New routing process in VANET. In 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt) (pp. 880–885). IEEE. 10356_CR9 Z Yang (10356_CR20) 2018; 15 10356_CR29 10356_CR33 10356_CR10 10356_CR32 O Riva (10356_CR11) 2007; 6 10356_CR13 R Dileepkumar (10356_CR16) 2021; 47 10356_CR35 10356_CR12 10356_CR34 10356_CR15 10356_CR37 10356_CR36 10356_CR17 10356_CR39 C Guo (10356_CR40) 2018; 67 P Shah (10356_CR8) 2021; 41 M Wang (10356_CR5) 2014; 64 10356_CR31 10356_CR30 I Ahmad (10356_CR4) 2018; 145 10356_CR19 10356_CR22 J Huo (10356_CR38) 2021; 18 10356_CR24 10356_CR23 10356_CR26 10356_CR25 J Zhao (10356_CR14) 2008; 57 10356_CR28 OS Oubbati (10356_CR18) 2020; 69 Y Xia (10356_CR21) 2018; 15 10356_CR27 10356_CR6 10356_CR7 10356_CR2 10356_CR1 10356_CR3 |
References_xml | – reference: Shaikh, F. I., & Hingoliwala, H. A. (2017) Path planning based QoS routing in VANET. In 2017 International Conference on Big Data, IoT and Data Science (BID) (pp. 37–43). IEEE. – reference: Hu, T., Liwang, M., Huang, L., & Tang, Y. (2015). An enhanced GPSR routing protocol based on the buffer length of nodes for the congestion problem in VANETs. In 2015 10th International Conference on Computer Science and Education (ICCSE), (pp. 416–419). IEEE. – reference: Laanaoui, M. D., & Raghay, S. (2016). New routing process in VANET. In 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt) (pp. 880–885). IEEE. – reference: Rashdan, I., de Ponte Muller, F., & Sand, S. (2016). Performance evaluation of traffic information dissemination protocols for dynamic route planning application in VANETs. In 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall) (pp. 1–5). IEEE. – reference: Samaras, N. S. (2016). Using basic MANET routing algorithms for data dissemination in vehicular Ad Hoc Networks (VANETs). In 2016 24th Telecommunications Forum (TELFOR) (pp. 1–4). IEEE. – reference: Hamid, B., & El Mokhtar, E.-N. (2015) Performance analysis of the Vehicular Ad hoc Networks (VANET) routing protocols AODV, DSDV and OLSR. In 2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA) (pp. 1–6). IEEE. – reference: ShahPKasbeTA review on specification evaluation of broadcasting routing protocols in VANETComputer Science Review20214110041810.1016/j.cosrev.2021.100418 – reference: Wu, H., Fujimoto, R., Guensler, R., & Hunter, M. (2004). MDDV: A mobility-centric data dissemination algorithm for vehicular networks. In Proceedings of the 1st ACM International Workshop on Vehicular Ad Hoc Networks (pp. 47–56). – reference: AhmadINoorRMAhmedyIShahSAAYaqoobIAhmedEImranMVANET-LTE based heterogeneous vehicular clustering for driving assistance and route planning applicationsComputer Networks201814512814010.1016/j.comnet.2018.08.018 – reference: ZhaoJCaoGVADD: Vehicle-assisted data delivery in vehicular ad hoc networksIEEE Transactions on Vehicular Technology20085731910192210.1109/TVT.2007.901869 – reference: Sachdev, A., Mehta, K., & Malik, L. (2016). Design of Protocol for cluster based routing in VANET using Fire Fly Algorithm. In 2016 IEEE International Conference on Engineering and Technology (ICETECH) (pp. 490–495). IEEE. – reference: Tian, L., Han, L., & Rothermel, K. (2003) “Spatially aware packet routing for mobile ad hoc inter-vehicle radio networks. In Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems (Vol. 2, pp. 1546–1551). IEEE. – reference: Basil, A. K., Ismail, A. K., Altahrawi, M. A., Mahdi, H., & Ramli, N. (2017). Performance of AODV and OLSR routing protocols in VANET under various traffic scenarios. In 2017 IEEE 13th Malaysia International Conference on Communications (MICC) (pp. 107–112). IEEE. – reference: Gupta, A., Singh, R., Ather, D., & Shukla, R. S. (2016). Comparison of various routing algorithms for VANETS. In 2016 International Conference System Modeling & Advancement in Research Trends (SMART) (pp. 153–157). IEEE. – reference: Li, L., Hazra, S. K., & Seah, W. (2005). A position-based routing protocol for metropolitan bus networks. In 2005 IEEE 61st Vehicular Technology Conference (Vol. 4, pp. 2315–2319). IEEE. – reference: Kang, S.-S., Chae, Y.-E., & Yeon, S. (2017) VANET routing algorithm performance comparison using ns-3 and SUMO. In 2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) (pp. 1–5). IEEE. – reference: Kumar, R., & Routray, S. K. (2016). Ant colony based dynamic source routing for VANET. In 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (ICATCCT) (pp. 279–282). IEEE. – reference: Cao, H., Wu, W., & Chen, Y. (2014). A navigation route based minimum dominating set algorithm in VANETs. In 2014 International Conference on Smart Computing Workshops (pp. 71–76). IEEE. – reference: Dashtinezhad, S., Nadeem, T., Dorohonceanu, B., Borcea, C., Kang, P., & Iftode, L. (2004). TrafficView: A driver assistant device for traffic monitoring based on car-to-car communication. In 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No. 04CH37514) (Vol. 5, pp. 2946–2950). IEEE. – reference: YangZWuWChenYLinXChenXNavigation route based stable clustering for vehicular ad hoc networksChina Communications2018153425610.1109/CC.2018.8331990 – reference: Kaur, H., et al. (2017). Analysis of VANET geographic routing protocols on real city map. In 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 895–899). IEEE. – reference: Nam, J., Kim, S.-M., & Min, S.-G. (2015). Extended wireless mesh network for VANET with geographical routing protocol. – reference: XiaYQinXLiuBZhangPA greedy traffic light and queue aware routing protocol for urban VANETsChina Communications2018157778710.1109/CC.2018.8424605 – reference: Dong, W., Lin, F., Zhang, H., & Yin, Y. (2017) A cluster-based recursive broadcast routing algorithm to propagate emergency messages in city VANETs. In 2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN) (pp. 187–190). IEEE. – reference: HuoJWenXLiuLWangLLiMLuZCHRT: Clustering-based hybrid re-routing system for traffic congestion avoidanceChina Communications20211878610210.23919/JCC.2021.07.008 – reference: RivaONadeemTBorceaCIftodeLContext-aware migratory services in ad hoc networksIEEE Transactions on Mobile Computing20076121313132810.1109/TMC.2007.1053 – reference: OubbatiOSAtiquzzamanMLorenzPBazAAlhakamiHSEARCH: An SDN-enabled approach for vehicle path-planningIEEE Transactions on Vehicular Technology20206912145231453610.1109/TVT.2020.3043306 – reference: Nha, V.T.N., Djahel, S., & Murphy, J. (2012) A comparative study of vehicles’ routing algorithms for route planning in smart cities. In 2012 First International Workshop on Vehicular Traffic Management for Smart Cities (VTM) (pp. 1–6). IEEE. – reference: GuoCLiDZhangGZhaiMReal-time path planning in urban area via VANET-assisted traffic information sharingIEEE Transactions on Vehicular Technology20186775635564910.1109/TVT.2018.2806979 – reference: Ali, A.K., Phillips, I., & Yang, H. (2016). Evaluating VANET routing in urban environments. In 2016 39th International Conference on Telecommunications and Signal Processing (TSP) (pp. 60–63). IEEE. – reference: Regragui, Y., & Moussa, N. (2018). Investigating the impact of real-time path planning on reducing vehicles traveling time. In 2018 International Conference on Advanced Communication Technologies and Networking (CommNet) (pp. 1–6). IEEE. – reference: DileepkumarRNagasriBLight weight materials based vehicle secure path planning algorithm for multi constrained QoS routing VANETSMaterials Today: Proceedings202147387390 – reference: Noguchi, T., & Tanaka, N. (2017) Efficient vehicle visualization system for safe driving in VANETs. In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (pp. 1–7). IEEE. – reference: Malathi, A., & Sreenath, N. (2017). Multicast routing selection for VANET using hybrid scatter search ABC algorithm. In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) (pp. 441–446). IEEE. – reference: WangMShanHLuRZhangRShenXBaiFReal-time path planning based on hybrid-VANET-enhanced transportation systemIEEE Transactions on Vehicular Technology20146451664167810.1109/TVT.2014.2335201 – reference: Setiabudi, A., Pratiwi, A. A., Perdana, A. A., Sari, R. F., et al. (2016). Performance comparison of GPSR and ZRP routing protocols in VANET environment. In 2016 IEEE region 10 symposium (TENSYMP) (pp. 42–47). IEEE. – reference: Sumon, N., & Jaekel, A. (2018). Fuel efficient route planning using VANET. In 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). (pp. 468–474). IEEE. – reference: Ramkumar, P., Uma, R., Usha, S., & Valarmathi, R. (2020). Real time path planning using intelligent transportation system for hybrid VANET. In 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) (pp. 1–7). IEEE. – reference: Zhou, P., Nadeem, T., Kang, P., Borcea, C., & Iftode, L. (2005). “EZCab: A cab booking application using short-range wireless communication. In Third IEEE International Conference on Pervasive Computing and Communications (pp. 27–38). IEEE. – reference: Jahan, R., & Suman, P. (2016). Detection of malicious node and development of routing strategy in VANET. In 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 472–476). 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Title | Route Planning Using Multicasting Approach in Vehicular Ad Hoc Networks |
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