A Tactical Information Management System for Unmanned Vehicles Using Vehicular Adhoc Networks

Unmanned Ground Vehicles (UGV) are playing a vital role in Military Services. The main abstract of this project is proposed for provide a Tactical information Management system for Unmanned Ground Vehicles using Vehicular Ad-hoc Networks (VANET). VANET is a perfect option for vehicle to vehicle communication to share the Information with each other. An Information Control Unit will be attached in-built with all unmanned ground vehicles to share the information. An Information Control unit consists of front and rear Radar (Radio Detection and Ranging), Event Data Recorder, Global positioning system (GPS), Sensor, and a communication system. When a failure detected in an Unmanned Ground vehicle due to the enemy attack, the tactical information will be shared with the neighboured UGVs among the VANET about the status of failed UGV. The damaged UGV will be replaced immediately with the neighbour to fill up the gap using the Tactical information shared using the WAVE (Wireless Application for Vehicle Environment) SMS protocol. This information is used to avoid collision also during fog.

[1]  Srdjan Capkun,et al.  The security and privacy of smart vehicles , 2004, IEEE Security & Privacy Magazine.

[2]  E. Krakiwsky,et al.  A Kalman filter for integrating dead reckoning, map matching and GPS positioning , 1988, IEEE PLANS '88.,Position Location and Navigation Symposium, Record. 'Navigation into the 21st Century'..

[3]  Nitin H. Vaidya,et al.  Location-aided routing (LAR) in mobile ad hoc networks , 1998, MobiCom '98.

[4]  S. Iyengar,et al.  Multi-Sensor Fusion: Fundamentals and Applications With Software , 1997 .

[5]  Shahrokh Valaee,et al.  Vehicle Localization in Vehicular Networks , 2006, IEEE Vehicular Technology Conference.

[6]  Azim Eskandarian,et al.  Challenges of intervehicle ad hoc networks , 2004, IEEE Transactions on Intelligent Transportation Systems.

[7]  Tim Bass,et al.  Intrusion detection systems and multisensor data fusion , 2000, CACM.

[8]  T. Srikanthan,et al.  A Map Matching Method for GPS Based Real-Time Vehicle Location , 2004, Journal of Navigation.

[9]  Han-Lee Song,et al.  Automatic vehicle location in cellular communications systems , 1994 .