Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    EDAGF: Estimation & direction aware greedy forwarding for urban scenario in vehicular ad-hoc network
    (Institute of Electrical and Electronics Engineers Inc., 2016) Jaiswal, R.K.; Jaidhar, C.D.
    Vehicular Ad-hoc Network (VANET) is the prime requirement to mitigate the traffic and accident on urban and highway road network. In VANET, routing plays a crucial role to send and receive packets in time. Position based routing protocols are compatible with VANET communication rather than topology based routing protocols. However, their performances are computed without considering location error and delay generated by the Global Positioning System (GPS) device. To minimize delay and location error, Estimation & Direction Aware Greedy Forwarding protocol is proposed in this work. In this protocol, primarily Roadside Unit (RSU) is used as most preferred forwarding node over the vehicles. In addition, direction of the moving vehicle is also considered to decide the next forwarding node if RSUs are located at farther distance. When a vehicle does not find any forwarding node, then it buffers the packets and carries until next forwarding node is identified. Node and RSU estimate the next probable location of the destination vehicle using previously recorded location using Kalman filter. © 2015 IEEE.
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    PPRP: Predicted Position based routing protocol using Kalman Filter for Vehicular Ad-hoc Network
    (Association for Computing Machinery acmhelp@acm.org, 2017) Jaiswal, R.K.; Jaidhar, C.D.
    New edition vehicles are equipped with Global Positioning System (GPS) device which provides the vehicle position in the form of latitude and longitude, this position is used as a location id of the vehicle at time t during routing in Vehicular Ad-hoc Network (VANET). The location ids are susceptible to have an error in position due to several factors such as line-of-sight, signal fading and tunnels just for an instance. Thus, Position based routing protocol experiences poor performance. To minimize the effect of position error, this work proposes a Predicted Position Based Routing Protocol (PPRP) for VANET. PPRP predicts the vehicle location based on previous and current location using Kalman Filter (KF) to improve the Packet Delivery Ratio (PDR), average delay and throughput. Before applying KF into routing its effectiveness is verified and found satisfactory results which advocate KF, to be used in routing. The proposed routing protocol is simulated on NS-3.23 simulator. VANETMOBISIM is used to get the vehicular mobility of 25, 50, 75 and 100 vehicles running on a city road network of 1000 ∗ 1000 m2 area. The performance of the proposed routing protocol is evaluated and compared with other prediction based routing protocol. Simulation is conducted for 250m and 500m transmission range using Winner-II and Two-ray ground propagation model with IEEE 802.11p standard. © 2017 ACM.
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    Impact of realistic mobility models on the performance of VANET routing protocols
    (Institute of Electrical and Electronics Engineers Inc., 2023) Sundari, K.; Senthil Thilak, A.
    Vehicular ad hoc networks (VANETs) are a special class of ad hoc networks, wherein vehicles integrated with computing and communication capabilities exchange information among themselves and the roadside units through wireless media. Vehicular communication plays a vital role in Intelligent Transportation Systems (ITS), especially to ensure safety and traffic management. Further, VANET communication finds wide application in autonomous driving systems. With the massive increase in the number of vehicles being used and prevailing complex traffic conditions, designing routing protocols for efficient communication in VANETs has become more challenging and captured the attention of the research community. In the process of developing new routing protocols, it is prohibitively expensive to deploy real-world test beds to analyze the efficiency of new protocols against the existing ones. Hence, research in vehicular communication greatly depends on simulation. Due to the highly dynamic nature of vehicles in real-time traffic environments, an appropriate choice of mobility models that accurately reflect real-world traffic behavior has a greater impact in the study on performance analysis of VANET routing protocols. In view of this, this paper explores the impact of the most commonly used realistic mobility models on the performance of VANET routing protocols, under varied real-world traffic scenarios. The performance of different routing protocols is compared with respect to the QoS metrics, namely, average goodput, MacPhy overhead, and BSM packet delivery ratio. Simulators such as Network Simulator 3 (NS3) and Simulation of Urban Mobility (SUMO) were used to conduct the experiment. © 2023 IEEE.