Brief announcement: On simple back-off in unreliable radio networks

© Seth Gilbert, Nancy Lynch, Calvin Newport, and Dominik Pajak. In this paper, we study local broadcast in the dual graph model, which describes communication in a radio network with both reliable and unreliable links. Existing work proved that efficient solutions to these problems are impossible in...

Full description

Bibliographic Details
Main Author: Lynch, Nancy
Format: Article
Language:English
Published: 2021
Online Access:https://hdl.handle.net/1721.1/137761
_version_ 1811076228060282880
author Lynch, Nancy
author_facet Lynch, Nancy
author_sort Lynch, Nancy
collection MIT
description © Seth Gilbert, Nancy Lynch, Calvin Newport, and Dominik Pajak. In this paper, we study local broadcast in the dual graph model, which describes communication in a radio network with both reliable and unreliable links. Existing work proved that efficient solutions to these problems are impossible in the dual graph model under standard assumptions. In real networks, however, simple back-off strategies tend to perform well for solving these basic communication tasks. We address this apparent paradox by introducing a new set of constraints to the dual graph model that better generalize the slow/fast fading behavior common in real networks. We prove that in the context of these new constraints, simple back-off strategies now provide efficient solutions to local broadcast in the dual graph model. These results provide theoretical foundations for the practical observation that simple back-off algorithms tend to work well even amid the complicated link dynamics of real radio networks.
first_indexed 2024-09-23T10:18:18Z
format Article
id mit-1721.1/137761
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T10:18:18Z
publishDate 2021
record_format dspace
spelling mit-1721.1/1377612021-11-09T03:31:02Z Brief announcement: On simple back-off in unreliable radio networks Lynch, Nancy © Seth Gilbert, Nancy Lynch, Calvin Newport, and Dominik Pajak. In this paper, we study local broadcast in the dual graph model, which describes communication in a radio network with both reliable and unreliable links. Existing work proved that efficient solutions to these problems are impossible in the dual graph model under standard assumptions. In real networks, however, simple back-off strategies tend to perform well for solving these basic communication tasks. We address this apparent paradox by introducing a new set of constraints to the dual graph model that better generalize the slow/fast fading behavior common in real networks. We prove that in the context of these new constraints, simple back-off strategies now provide efficient solutions to local broadcast in the dual graph model. These results provide theoretical foundations for the practical observation that simple back-off algorithms tend to work well even amid the complicated link dynamics of real radio networks. 2021-11-08T18:27:35Z 2021-11-08T18:27:35Z 2018 2019-06-13T14:55:29Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137761 Lynch, Nancy. 2018. "Brief announcement: On simple back-off in unreliable radio networks." en 10.4230/LIPIcs.DISC.2018.48 Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf DROPS
spellingShingle Lynch, Nancy
Brief announcement: On simple back-off in unreliable radio networks
title Brief announcement: On simple back-off in unreliable radio networks
title_full Brief announcement: On simple back-off in unreliable radio networks
title_fullStr Brief announcement: On simple back-off in unreliable radio networks
title_full_unstemmed Brief announcement: On simple back-off in unreliable radio networks
title_short Brief announcement: On simple back-off in unreliable radio networks
title_sort brief announcement on simple back off in unreliable radio networks
url https://hdl.handle.net/1721.1/137761
work_keys_str_mv AT lynchnancy briefannouncementonsimplebackoffinunreliableradionetworks