Conference Papers

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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.