Year: 2020
Type: conference-paper
Abstract: A new adaptive transmission protocol is introduced to improve the performance of slotted ALOHA. Nodes use known periodic schedules as base policies with which they collaboratively learn how to transmit periodically in different time slots so that packet collisions are minimized. The Adaptive Policy Tree (APT) algorithm is introduced for this purpose, which results in APT-ALOHA. APT-ALOHA does not require the presence of a central repeater and uses explicit acknowledgements to confirm the reception of packets. It is shown that nodes using APT-ALOHA quickly converge to transmission schedules that are virtually collision-free, and that the throughput of APT-ALOHA resembles that of TDMA, where slots are pre-allocated to nodes. In particular, APT-ALOHA attains a successful utilization of time slots- over 70% on saturation mode.
Authors: Molly Zhang, Luca de Alfaro, Marc Mosko, Colin Funai, Tim Upthegrove, Bishal Thapa, Daniel Javorsek, J.J. Garcia-Luna-Aceves
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Air Force Research Laboratory
OpenAlex ID: W3102518971