Multi-message broadcast with abstract MAC layers and unreliable links
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Author(s) • • •
Ghaffari, Mohsen
Kantor, Erez
Newport, Calvin Charles
Lynch, Nancy A.
Date Issued
July 2014
Journal
Proceedings of the 2014 ACM symposium on Principles of distributed computing (PODC '14)
Publisher
Association for Computing Machinery (ACM)
Citation
Mohsen Ghaffari, Erez Kantor, Nancy Lynch, and Calvin Newport. 2014. Multi-message broadcast with abstract MAC layers and unreliable links. In Proceedings of the 2014 ACM symposium on Principles of distributed computing (PODC '14). ACM, New York, NY, USA, 56-65.
Version
Author's final manuscript
Abstract
We study the multi-message broadcast problem using abstract MAC layer models of wireless networks. These models capture the key guarantees of existing MAC layers while abstracting away low-level details such as signal propagation and contention.We begin by studying upper and lower bounds for this problem in a standard abstract MAC layer model---identifying an interesting dependence between the structure of unreliable links and achievable time complexity. In more detail, given a restriction that devices connected directly by an unreliable link are not too far from each other in the reliable link topology, we can (almost) match the efficiency of the reliable case. For the related restriction, however, that two devices connected by an unreliable link are not too far from each other in geographic distance, we prove a new lower bound that shows that this efficiency is impossible. We then investigate how much extra power must be added to the model to enable a new order of magnitude of efficiency. In more detail, we consider an enhanced abstract MAC layer model and present a new multi-message broadcast algorithm that (under certain natural assumptions) solves the problem in this model faster than any known solutions in an abstract MAC layer setting.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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DOI of Published Version
https://doi.org/10.1145/2611462.2611492