Browsing by Author "Jaiswal, R.K."

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A Performance Evaluation of Location Prediction Position-Based Routing Using Real GPS Traces for VANET
(Springer New York LLC barbara.b.bertram@gsk.com, 2018) Jaiswal, R.K.; Jaidhar, C.D.
Vehicular ad-hoc network (VANET) is an emerging paradigm for road transportation which minimizes traffic, accidents and improves fuel efficiency. VANET uses the position of the vehicle obtained from satellite system such as global positioning system (GPS), global navigation satellite system, Compass and Galileo as a location id in position-based routing protocol. The position obtained from the satellite system is likely to have an error due to environmental and technical issues which effect the routing performance. Thus, this paper proposes a position-based routing protocol which uses Kalman filter based location prediction technique to improve routing performance by minimizing location error. The routing protocol performance is evaluated on NS-3.23 simulator with real time GPS traces and simulator generated mobility on Two-ray ground and Winner-II propagation model for 500 m transmission range. Further, performance is compared with other prediction-based routing protocol on the metrics of packet delivery ratio, average delay and throughput. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
An applicability of AODV and OLSR protocols on IEEE 802. 11p for city road in VANET
(Springer Verlag service@springer.de, 2015) Jaiswal, R.K.; Jaidhar, C.D.
Vehicular Ad-hoc Network (VANET) improves, makes more safe and comfortable road transportation by using vehicular communication and the Internet. VANET is the subset of Mobile Ad-hoc Network (MANET). Thus, due to their similar characteristics, MANET routing protocols may also be applicable into VANET. Hence, the performance of MANET routing protocols should be evaluated only on IEEE 802. 11p communication standard, which is specifically designed for VANET communication, with urban and non-urban vehicular traffic. This work compares the performance of Ad-hoc On-Demand Distance Vector (AODV) routing protocol with Optimized Link State Routing protocol (OLSR) on two different road network scenarios, particularly a complex road network, which represents the city road network, having multiple crossroad and an intersection of two roads. We used two distinct simulators such as Vehicular Ad-hoc Networks Mobility Simulator (VANETMOBISIM), to simulate the city road network and vehicular traffic in an area of 700mx700m and NS-2. 35 network simulator to simulate the communication network. AODV and OLSR performances are assessed on different transmission range, i. e. 250m and 500m with four different data generation rate of 512, 1024, 1536 and 2048 Kbps. The primary goal of this work is to do an assessment to scrutinize the applicability of AODV and OLSR protocols in VANET with different traffic scenario and transmission ranges of IEEE 802. 11p standard. Â© Springer International Publishing Switzerland 2015.
An applicability of AODV and OLSR protocols on IEEE 802. 11p for city road in VANET
(2015) Jaiswal, R.K.; Jaidhar, C.D.
Vehicular Ad-hoc Network (VANET) improves, makes more safe and comfortable road transportation by using vehicular communication and the Internet. VANET is the subset of Mobile Ad-hoc Network (MANET). Thus, due to their similar characteristics, MANET routing protocols may also be applicable into VANET. Hence, the performance of MANET routing protocols should be evaluated only on IEEE 802. 11p communication standard, which is specifically designed for VANET communication, with urban and non-urban vehicular traffic. This work compares the performance of Ad-hoc On-Demand Distance Vector (AODV) routing protocol with Optimized Link State Routing protocol (OLSR) on two different road network scenarios, particularly a complex road network, which represents the city road network, having multiple crossroad and an intersection of two roads. We used two distinct simulators such as Vehicular Ad-hoc Networks Mobility Simulator (VANETMOBISIM), to simulate the city road network and vehicular traffic in an area of 700mx700m and NS-2. 35 network simulator to simulate the communication network. AODV and OLSR performances are assessed on different transmission range, i. e. 250m and 500m with four different data generation rate of 512, 1024, 1536 and 2048 Kbps. The primary goal of this work is to do an assessment to scrutinize the applicability of AODV and OLSR protocols in VANET with different traffic scenario and transmission ranges of IEEE 802. 11p standard. � Springer International Publishing Switzerland 2015.
EDAGF: Estimation & direction aware greedy forwarding for urban scenario in vehicular ad-hoc network
(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.
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. Â© 2015 IEEE.
Location prediction algorithm for a nonlinear vehicular movement in VANET using extended Kalman filter
(Springer New York LLC barbara.b.bertram@gsk.com, 2017) Jaiswal, R.K.; Jaidhar, C.D.
Vehicular ad-hoc network (VANET) is an essential component of the intelligent transportation system, that facilitates the road transportation by giving a prior alert on traffic condition, collision detection warning, automatic parking and cruise control using vehicle to vehicle (V2V) and vehicle to roadside unit (V2R) communication. The accuracy of location prediction of the vehicle is a prime concern in VANET which enhances the application performance such as automatic parking, cooperative driving, routing etc. to give some examples. Generally, in a developed country, vehicle speed varies between 0 and 60 km/h in a city due to traffic rules, driving skills and traffic density. Likewise, the movement of the vehicle with steady speed is highly impractical. Subsequently, the relationship between time and speed to reach the destination is nonlinear. With reference to the previous work on location prediction in VANET, nonlinear movement of the vehicle was not considered. Thus, a location prediction algorithm should be designed by considering nonlinear movement. This paper proposes a location prediction algorithm for a nonlinear vehicular movement using extended Kalman filter (EKF). EKF is more appropriate contrasted with the Kalman filter (KF), as it is designed to work with the nonlinear system. The proposed prediction algorithm performance is measured with the real and model based mobility traces for the city and highway scenarios. Also, EKF based prediction performance is compared with KF based prediction on average Euclidean distance error (AEDE), distance error (DE), root mean square error (RMSE) and velocity error (VE). © 2016, Springer Science+Business Media New York.
PPRP: Predicted Position based routing protocol using Kalman Filter for Vehicular Ad-hoc Network
(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.
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 âˆ— 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. Â© 2017 ACM.