Real-time V2V Communication for Intelligent Transportation Systems

p {margin: 0; padding: 0;} .ft00{font-size:21px;font-family:NimbusSansBold;color:#000000;} .ft01{font-size:18px;font-family:NimbusSansBold;color:#000000;} .ft02{font-size:15px;font-family:OpenSymbol;color:#000000;} .ft03{font-size:18px;font-family:NimbusSans;color:#000000;} .ft04{font-size:18px;line-height:23px;font-family:NimbusSans;color:#000000;} REAL-TIME V2V COMMUNICATION FOR INTELLIGENT TRANSPORTATION SYSTEMS Introduction  Rise in vehicles necessitates intelligent transportation system (ITS)  VANET enables vehicle-to-vehicle (V2V) communication to realize ITS  Provides safety, traffic monitoring, route computation etc. Literature Review  Early protocols like AODV used flooding for path discovery  Some require storing and carrying packets till next hop found  Grouping   vehicles   into   clusters   with   cluster   heads   for   inter-groupcommunication  Most use predefined static data instead of real-time traffic data Research Gaps  Improving reliability and minimizing delay and retransmissions  Developing robust city protocols resilient against interference  Handling temporary network disconnectivity  Reducing congestion due to excessive route discovery packets  Minimizing unnecessary packet overhead Proposed Methodology  Traffic-aware optimized greedy geographic routing  Active probing and passive monitoring for traffic and reliability info  Piggyback street reliability data to avoid separate broadcasts  Recalculate routes at intersections using piggybacked data  Greedy forwarding to anchor points deemed reliable based on data Key Highlights  Efficient V2V communication is key for ITS applications  Routing must adapt to highly dynamic vehicular environments  Traffic-aware optimization can improve reliability and reduce overheads  Next-gen protocols needed to handle real-time data and changing conditions