Smart City Gnosys

Smart city article details

Title	Analysis Of Densed Vehicular Ad-Hoc Networks Using Ns3 And Sumo
ID_Doc	9138
Authors	Kour S.; Singh M.; Sarangal H.; Singh B.
Year	2024
Published	Lecture Notes in Electrical Engineering, 1231 LNEE
DOI	http://dx.doi.org/10.1007/978-981-97-5227-0_19
Abstract	Vehicle ad-hoc networks have grown in relevance as vehicle intelligence and road infrastructure have advanced, owing to their ability to promote improved transportation efficiency and traffic management. A mobile ad-hoc network (MANET) occurs when some or all of the nodes in a network move; a vehicular ad-hoc network (VANET) is a subset of MANET in which certain nodes are attached to cars on the road and are thus subject to the same mobility constraints as road traffic. The successor of MANETs, VANETs affirm few indistinguishable features, but are extremely variable in accordance with the type of node, its communication ability, mobility, speed, direction, and the intended pattern of vehicle movement. Wireless communications technologies such as WLANs, 3G, 4G, and 5G cellular systems, among others, have accelerated the development of intelligent transportation systems (ITS), which strengthens the installation and deployment of VANETs and provides dependable services to its customers, as a primary element in the implementation of smart cities and ITS in the Indian scenario. In this research work, we are analyzing the performance of designed VANET scenario on specified 166 vehicles for a 30 s simulated scenario. The performance metrics, basic safety messages (BSM) packet delivery ratio (PDR), average goodput, and MAC/PHY overhead, are analyzed over four VANET routing protocols—ad-hoc on-demand vector (AODV), destination sequenced distance vector (DSDV), dynamic source routing (DSR), and optimized link state routing (OLSR) in a defined area. The results showed improvement in DSR and OLSR for goodput, overhead, and packet delivery ratio. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Author Keywords	AODV; DSDV; MANET; Routing protocols; VANET

Similar Articles

Id	Similarity	Authors	Title	Published
14919	0.932	Quy V.K.; Nam V.H.; Linh D.M.; Ban N.T.; Han N.D.	Communication Solutions For Vehicle Ad-Hoc Network In Smart Cities Environment: A Comprehensive Survey	Wireless Personal Communications, 122, 3 (2022)
47100	0.917	Sohail M.; Latif Z.; Javed S.; Biswas S.; Ajmal S.; Iqbal U.; Raza M.; Khan A.U.	Routing Protocols In Vehicular Adhoc Networks (Vanets): A Comprehensive Survey	Internet of Things (Netherlands), 23 (2023)
27337	0.904	Soyturk M.; Muhammad K.N.; Avcil M.N.; Kantarci B.; Matthews J.	From Vehicular Networks To Vehicular Clouds In Smart Cities	Smart Cities and Homes: Key Enabling Technologies (2016)
60845	0.904	Behura A.; Jain P.K.; Kumar A.	Vanets For Smart Cities: Opportunities And Upcoming Research Directions	Emerging Electrical and Computer Technologies for Smart Cities: Modelling, Solution Techniques and Applications (2024)
3909	0.903	Aljabry I.A.; Al-Suhail G.A.	A Qos Evaluation Of Aodv Topology-Based Routing Protocol In Vanets	Proceedings - 2022 International Conference on Engineering and MIS, ICEMIS 2022 (2022)
47103	0.892	Bharathi M.A.; Rajesh I.S.; Maithri C.; Krishnamurthy M.S.	Routing Strategies For Quality Of Service Optimization Over Vehicular Ad Hoc Networks: A Review	Lecture Notes in Networks and Systems, 945 LNNS (2024)
2194	0.889	Tamilarasi A.; Sivabalaselvamani D.; Rahunathan L.; Adhithyaa N.	A Hybrid Model For Performance Evaluation Of Fixed Vanets Using Novel 1C3N And Topology-Based Ad-Hoc Routing Protocols With Packet Loss Control Methods	International Research Journal of Multidisciplinary Technovation, 5, 5 (2023)
5330	0.889	Chahal M.; Harit S.; Mishra K.K.; Sangaiah A.K.; Zheng Z.	A Survey On Software-Defined Networking In Vehicular Ad Hoc Networks: Challenges, Applications And Use Cases	Sustainable Cities and Society, 35 (2017)
1113	0.885	Sharma T.; Daruwala R.	A Correlation Interpolated For Vanet Protocols Driving Adaptive Quality Of Service In Intelligent Transportation System: A Framework	2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023 (2023)
40735	0.878	Saravanan M.; Devipriya R.; Sakthivel K.; Sujith J.G.; Saminathan A.; Vijesh S.	Optimized Load Balancing And Routing Using Machine Learning Approach In Intelligent Transportation Systems: A Survey	Lecture Notes in Networks and Systems, 647 LNNS (2023)