Multi-message broadcast with abstract MAC layers and unreliable links

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 pr...

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Bibliographic Details
Main Authors: Ghaffari, Mohsen (Contributor), Kantor, Erez (Contributor), Newport, Calvin Charles (Author), Lynch, Nancy Ann (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2016-01-15T02:52:11Z.
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Summary: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.
United States. Air Force Office of Scientific Research (FA9550-13-1-0042)
Ford Motor Company. University Research Program
National Science Foundation (U.S.) (Grant CCF-1320279)
National Science Foundation (U.S.) (Grant CCF-0939370)
National Science Foundation (U.S.) (Grant CCF-1217506)
National Science Foundation (U.S.) (Grant CCF-AF-0937274)
MIT Center for Wireless Networks and Mobile Computing