Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/7804
Title: EDAGF: Estimation & direction aware greedy forwarding for urban scenario in vehicular ad-hoc network
Authors: Jaiswal, R.K.
Jaidhar, C.D.
Issue Date: 2016
Citation: Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015, 2016, Vol., , pp.814-821
Abstract: 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.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/7804
Appears in Collections:2. Conference Papers

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