Throughput-optimal broadcast in wireless networks with dynamic topology
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Modiano_Throughput-optimal.pdf
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Author(s)
Tassiulas, Leandros
Sinha, Abhishek
Modiano, Eytan H
Date Issued
July 2016
Journal
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing - MobiHoc '16
Publisher
Association for Computing Machinery (ACM)
Citation
Sinha, Abhishek, Leandros Tassiulas, and Eytan Modiano. “Throughput-Optimal Broadcast in Wireless Networks with Dynamic Topology.” Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016, Paderborn, Germany, July 05 - 08, 2016, pp. 21-30.
Version
Original manuscript
Abstract
We consider the problem of throughput-optimal broadcasting in time-varying wireless network with an underlying Directed Acyclic Graph (DAG) topology. Known broadcast algorithms route packets along pre-computed spanning trees. In large wireless networks with time-varying connectivities, the optimal trees are difficult to compute and maintain. In this paper we propose a new online throughput-optimal broadcast algorithm, which takes packet-by-packet scheduling and routing decisions, obviating the need for maintaining any global topological structures, such as spanning-trees. Our algorithm utilizes certain queue-like system-state information for making transmission decisions and hence, may be thought of as a generalization of the well-known back pressure algorithm, which makes point-to-point unicast transmission decisions based on local queue-length information. Technically, the back-pressure algorithm is derived by stabilizing the packet-queues. However, because of packet-duplications, the work-conservation principle is violated and appropriate queuing processes are difficult to define in the broadcast setting. To address this fundamental issue, we identify certain state-variables whose dynamics behave like virtual queues. By stochastically stabilizing these virtual queues, we devise a throughput-optimal broadcast policy. We also derive new characterizations of the broadcast-capacity of time-varying wireless DAGs and derive an efficient algorithm to compute the capacity exactly under certain assumptions, and a poly-time approximation algorithm for computing the capacity approximately under less restrictive assumptions.
MIT Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
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DOI of Published Version
https://doi.org/10.1145/2942358.2942389
