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has been cited by the following article:

• TITLE: Accurate Distance Estimation for VANET Using Nanointegrated Devices

  AUTHORS: Ashraf Nasr, Samir A. Elsagheer Mohamed

  KEYWORDS: Vehicular Ad-Hoc Networks; Positioning Systems; Wireless Networks; Nanotechnology devices; CNT Sensors

  JOURNAL NAME: Optics and Photonics Journal, Vol.2 No.2, June 28, 2012

  ABSTRACT: Vehicular Ad-Hoc Networks (VANET) is a research venue that promises for many useful applications. Most of these applications require a precise real-time positioning system for each vehicle. However, practically the existing tecniques are still not accurate and hence not suitable for some critical applications. In this paper, we will focus on the most critical ones which are the collision avoidance, and collision warning, or lane-tracking. Collision occurs when the distance between nearby vehicles decreases rapidly. Hence, an accurate and precise knowledge of the distance among each vehicle and all the surrounding vehicles has to be obtained to enable a realistic collision avoidance service. We propose to use the carbon nanotube network (CNT) integrated with other nano-devices that can provide accuracy in the order of millimeters. In this paper, theoretical investigations and mathematical formulations are presented. The obtained results show the effectiveness and accuracy of the proposed methodology.