Enabling Real-time V2V Communication for Traffic Monitoring

University
California State University
Course
CS 3590 | Data Communications and Networking
Pages

2

Academic year

2023
Author

Jithin Jacob Issac
Views

0

ENABLING REAL-TIME V2V COMMUNICATION FOR TRAFFIC MONITORING Traffic Monitoring  Active probing and passive monitoring for traffic info  Probe packets forwarded greedily to distribute data  Piggyback edge reliability data to avoid broadcasts  Exclude outdated or unknown edge data to reduce overhead Reliable Path Determination  Edge weights reflect connectivity rather than distance  Minimum weight for connected, maximum for disconnected  Dijkstra's algorithm finds most reliable path Reliability Value Calculation  Reliability weight based on time since last probe traversal  Lower weight for recent probe, higher for older probe  Default weights for edges with no recent probe data Routing  Greedy forwarding if source and destination are nearby  Otherwise find anchor path using street graph  Intermediate nodes forward packet closer to next anchor point Implementation  Simulated in MATLAB by varying number of nodes and probe frequency  Lower packet loss with frequent probe packets Comparison to Existing Protocols  Reduced packet overhead  Faster convergence to topology changes  Higher data packet throughput Conclusion  Finds reliable paths with low congestion and overhead  Further improvements possible in sparse networks

 Overall, optimized solution for real-time V2V communication Key Highlights  Active probing coupled with passive monitoring for efficiency  Edge weights based on real-time connectivity crucial  Up-to-date reliable path computation enables timely delivery  Significant gains over existing protocols demonstrated