TY - GEN
T1 - Poster
T2 - 24th Annual International Conference on Mobile Computing and Networking, MobiCom 2018
AU - Elbadry, Mohammed
AU - Zhou, Bing
AU - Ye, Fan
AU - Milder, Peter
AU - Yang, Yuan Yuan
N1 - Publisher Copyright: © 2018 Association for Computing Machinery.
PY - 2018/10/15
Y1 - 2018/10/15
N2 - Data-centric networks provide content instead of address (what vs. where) based communication primitives, and have been argued to be the proper candidate for data dissemination in high mobility vehicular networks (e.g., delivering road side accident video clips to affected drivers in both directions). However, current Medium Access Control (MAC) layers filter incoming frames based on destination addresses, not content. The data-centric network community has resorted to MAC broadcast, with high and greatly varying frame loss rates. We propose V-MAC, a data-centric MAC layer that filters frames by content. It supports one to many multicast at MAC level, and ensures a uniform and controllable small frame loss rate across all receivers, despite their varying reception qualities. We have created a V-MAC prototype using Raspberry Pis and WiFi dongles. Experiments under extremely noisy environment show that it reduces frame loss from 50% (broadcast) to less than 10%, and consistently among multiple receivers.
AB - Data-centric networks provide content instead of address (what vs. where) based communication primitives, and have been argued to be the proper candidate for data dissemination in high mobility vehicular networks (e.g., delivering road side accident video clips to affected drivers in both directions). However, current Medium Access Control (MAC) layers filter incoming frames based on destination addresses, not content. The data-centric network community has resorted to MAC broadcast, with high and greatly varying frame loss rates. We propose V-MAC, a data-centric MAC layer that filters frames by content. It supports one to many multicast at MAC level, and ensures a uniform and controllable small frame loss rate across all receivers, despite their varying reception qualities. We have created a V-MAC prototype using Raspberry Pis and WiFi dongles. Experiments under extremely noisy environment show that it reduces frame loss from 50% (broadcast) to less than 10%, and consistently among multiple receivers.
KW - data-centric networks
KW - mobile network
KW - vehicular communication
UR - https://www.scopus.com/pages/publications/85056823080
U2 - 10.1145/3241539.3267759
DO - 10.1145/3241539.3267759
M3 - Conference contribution
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 714
EP - 716
BT - MobiCom 2018 - Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
PB - Association for Computing Machinery
Y2 - 29 October 2018 through 2 November 2018
ER -