SB AlertOut of an abundance of caution, Stony Brook is canceling all classes, exams, and in-person events scheduled for Monday, February 23. Go to Office of Emergency Management for more information.   More information
Skip Navigation
Search
College of Engineering and Applied Sciences
Electrical and Computer Engineering

Novel Wireless Communication Technology for Networking on the Fly

 

Pub/Sub in the Air: A Novel Data-centric Radio Supporting Robust Multicast in Edge Environments 

Authors

  • Mohammed Elbadry, Stony Brook ECE PhD student
  • Fan Ye, Stony Brook ECE Faculty
  • Peter Milder, Stony Brook ECE Faculty
  • Yuanyuan Yang, Stony Brook ECE Faculty

 

Venue

2020 IEEE/ACM Symposium on Edge Computing (SEC)

Novel Technical Contribution

  • Novel data-centric MAC layer with beaconless design where mobile nodes can communicate instantaneously without delay.
  • Robust multicast protocol that can support up to 15 receivers concurrently reducing loss rates (0 – 90%) to below 10% across all receivers.
  • Open-source kernel and firmware (up to 150Mbps) available for edge devices (e.g., raspberry pi)

 

Societal Contribution

  • Accessible code at the following link: https://github.com/SBU-MoCA/V-MAC
  • The system can help with any on the fly data communication paradigm and enable new dynamics of data sharing. A few examples: low-latency live video feedback for vehicles on the road, navigational data sharing on the fly for direction. Indoor mapping constructions through smartphones sensors aggregation and dissemination. Multi-user AR/VR systems. IoT Dense network data dissemination.

 

Abstract

Peer communication among edge devices (e.g., mobiles, vehicles, IoT and drones) is frequently data-centric: most important is obtaining data of desired content from suitable nodes; who generated or transmitted the data matters much less. Typical cases are robust one-to-many data sharing: e.g., a vehicle sending weather, road, position and speed data streams to nearby cars continuously. Unfortunately, existing address-based wireless communication is ill-suited for such purposes. We propose V-MAC, a novel data-centric radio that provides a pub/sub abstraction to replace the point-to-point abstraction in existing radios. It filters frames by data names instead of MAC addresses, thus eliminating complexities and latencies in neighbor discovery and group maintenance in existing radios. V-MAC supports robust, scalable and high rate multicast with consistently low losses across receivers of varying reception qualities. Experiments using a Raspberry Pi and a commodity WiFi dongle based prototype show that V-MAC reduces loss rate from WiFi broadcast's 50-90% to 1-3% for up to 15 stationary receivers, 4-5 moving people, and miniature and real vehicles. It cuts down filtering latency from 20μs in WiFi to 10μ s for up to 2 million data names, and improves cross stack latency 60-100× for TX/RX paths. We have ported V-MAC to 4 major WiFi chipsets (including 802.11 a/b/g/n/ac radios), 6 different platforms (Android, embedded and FPGA systems), 7 Linux kernel versions, and validated up to 900Mbps multicast data rate and interoperation with regular WiFi. We will release V-MAC as a mature, reusable asset for edge computing research.