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Báo cáo hóa học: "Research Article A Reputation System for Traffic Safety Event on Vehicular Ad Hoc Networks'

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Reputation System for Traffic Safety Event on Vehicular Ad Hoc Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2009 Article ID 125348 10 pages doi 10.1155 2009 125348 Research Article A Reputation System for Traffic Safety Event on Vehicular Ad Hoc Networks Nai-Wei Lo and Hsiao-Chien Tsai Department of Information Management National Taiwan University of Science and Technology No. 43 Section 4 Keelung Road. Taipei 106 Taiwan Correspondence should be addressed to Hsiao-Chien Tsai d9609102@mail.ntust.edu.tw Received 28 February 2009 Accepted 15 September 2009 Recommended by Naveen Chilamkurti Traffic safety applications on vehicular ad hoc networks VANETs have drawn a lot of attention in recent years with their promising functions on car accident reduction real-time traffic information support and enhancement of comfortable driving experience on roadways. However an inaccurate traffic warning message will impact drivers decisions waste drivers time and fuel in their vehicles and even invoke serious car accidents. To enable eco-friendly driving VANET environments that is to save fuel and time in this context we proposed an event-based reputation system to prevent the spread of false traffic warning messages. In this system a dynamic reputation evaluation mechanism is introduced to determine whether an incoming traffic message is significant and trustworthy to the driver. The proposed system is characterized and evaluated through experimental simulations. The simulation results show that with a proper reputation adaptation mechanism and appropriate threshold settings our proposed system can effectively prevent false messages spread on various VANET environments. Copyright 2009 N.-W. Lo and H.-C. Tsai. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction There are 1.2 million people killed and as many as 50 .