A Study on the Tracking Problem in Vehicular Ad Hoc Networks

Vehicles have the characteristic of high mobility which makes vehicular ad hoc networks (VANETs) different from other mobile ad hoc networks (MANETs), it is more difficult to establish an end-to-end route in VANETs, and the source and destination nodes keep moving fast from their original locations....

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Main Authors: Xing Zhang, Bang Liu, Jinchuan Tang
Format: Article
Language:English
Published: Wiley 2013-02-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/809742
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author Xing Zhang
Bang Liu
Jinchuan Tang
author_facet Xing Zhang
Bang Liu
Jinchuan Tang
author_sort Xing Zhang
collection DOAJ
description Vehicles have the characteristic of high mobility which makes vehicular ad hoc networks (VANETs) different from other mobile ad hoc networks (MANETs), it is more difficult to establish an end-to-end route in VANETs, and the source and destination nodes keep moving fast from their original locations. To guarantee a data packet will finally be received by the destination node in VANETs, and the location of the destination node must be tracked constantly. Advanced Greedy Forwarding (AGF (Naumov et al. (2006))) is a good way to estimate the location of the destination node by taking advantage of the velocity vectors; however, a vehicle changes its velocity constantly, it would be very inaccurate to estimate the location of a vehicle via its initial velocity. In this paper, we study the tracking problem in VANETs and propose two solutions: area-based tracking (ABT) and parked vehicle-assisted tracking (PVAT). ABT works well when the delays in data transmission from source to destination are small, and PVAT works as a supplement of ABT and deals with the situation of which the delays are large. PVAT takes advantage of vehicular sensors to detect whether a vehicle is parking. Simulations show better results compared to AGF.
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spelling doaj-art-b9fc7c7f0f574063b1bd0ed7dd9ec0ef2025-08-20T03:04:38ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-02-01910.1155/2013/809742A Study on the Tracking Problem in Vehicular Ad Hoc NetworksXing ZhangBang LiuJinchuan TangVehicles have the characteristic of high mobility which makes vehicular ad hoc networks (VANETs) different from other mobile ad hoc networks (MANETs), it is more difficult to establish an end-to-end route in VANETs, and the source and destination nodes keep moving fast from their original locations. To guarantee a data packet will finally be received by the destination node in VANETs, and the location of the destination node must be tracked constantly. Advanced Greedy Forwarding (AGF (Naumov et al. (2006))) is a good way to estimate the location of the destination node by taking advantage of the velocity vectors; however, a vehicle changes its velocity constantly, it would be very inaccurate to estimate the location of a vehicle via its initial velocity. In this paper, we study the tracking problem in VANETs and propose two solutions: area-based tracking (ABT) and parked vehicle-assisted tracking (PVAT). ABT works well when the delays in data transmission from source to destination are small, and PVAT works as a supplement of ABT and deals with the situation of which the delays are large. PVAT takes advantage of vehicular sensors to detect whether a vehicle is parking. Simulations show better results compared to AGF.https://doi.org/10.1155/2013/809742
spellingShingle Xing Zhang
Bang Liu
Jinchuan Tang
A Study on the Tracking Problem in Vehicular Ad Hoc Networks
International Journal of Distributed Sensor Networks
title A Study on the Tracking Problem in Vehicular Ad Hoc Networks
title_full A Study on the Tracking Problem in Vehicular Ad Hoc Networks
title_fullStr A Study on the Tracking Problem in Vehicular Ad Hoc Networks
title_full_unstemmed A Study on the Tracking Problem in Vehicular Ad Hoc Networks
title_short A Study on the Tracking Problem in Vehicular Ad Hoc Networks
title_sort study on the tracking problem in vehicular ad hoc networks
url https://doi.org/10.1155/2013/809742
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