Capacity and delay scaling for broadcast transmission in highly mobile wireless networks
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MobiHoc17-rajat copy.pdf
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Author(s)
Talak, Rajat Rajendra
Karaman, Sertac
Modiano, Eytan H
Date Issued
July 2017
Journal
Mobihoc '17 Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing
Publisher
Association for Computing Machinery
Citation
Talak, RajaT, Sertac Karaman, and Eytan Modiano. "Capacity and delay scaling for broadcast transmission in highly mobile wireless networks." Mobihoc '17 Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 10-14 July, 2017, Chennai, India, Association for Computing Machinery, 2017.
Version
Author's final manuscript
Abstract
We study broadcast capacity and minimum delay scaling laws for highly mobile wireless networks, in which each node has to disseminate or broadcast packets to all other nodes in the network. In particular, we consider a cell partitioned network under the simplifed independent and identically distributed (IID) mobility model, in which each node chooses a new cell at random every time slot. We derive scaling laws for broadcast capacity and minimum delay as a function of the cell size. We propose a simple first-come-firstserve (FCFS) flooding scheme that nearly achieves both capacity and minimum delay scaling. Our results show that high mobility does not improve broadcast capacity, and that both capacity and
delay improve with increasing cell sizes. In contrast to what has been speculated in the literature we show that there is (nearly) no tradeoff between capacity and delay. Our analysis makes use of the theory of Markov Evolving Graphs (MEGs) and develops two new bounds on ooding time in MEGs by relaxing the previously required expander property assumption. Keywords: Mobile ad hoc networks, Wireless networks, Broadcast, Throughputdelay tradeoff, Scaling laws, Flooding time, Markov evolving graph
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/3084041.3084045
