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Giovanni Perin; David Nophut; Leonardo Badia; Frank H. P. Fitzek
Maximizing Airtime Efficiency for Reliable Broadcast Streams in WMNs with Multi-Armed Bandits Proceedings Article
In: 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (IEEE UEMCON 2020), virtual, India, 2020.
Abstract | BibTeX
@inproceedings{Peri2010:Maximizing, title = {Maximizing Airtime Efficiency for Reliable Broadcast Streams in WMNs with Multi-Armed Bandits}, author = {Giovanni {Perin} and David {Nophut} and Leonardo {Badia} and Frank H. P. {Fitzek}}, year = {2020}, date = {2020-10-25}, booktitle = {2020 11th IEEE Annual Ubiquitous Computing, Electronics \& Mobile Communication Conference (UEMCON) (IEEE UEMCON 2020)}, address = {virtual, India}, abstract = {Wireless broadcast routing is a complex problem, shown in the literature to be NP-complete. Current protocols implement either heuristics to find solutions that are not guaranteed to be optimal or classic flooding. However, many future use cases, like automotive applications, industrial robotics and multimedia broadcast, will require efficient yet reliable methods. In this work, we use contextual multi-armed bandits together with opportunistic routing (OR) and network coding (NC) to find approximately optimal solutions to the problem of broadcast routing in a distributed fashion. Each router independently learns its own transmission credit, i.e., the number of packets to forward for each innovative packet received, so that the airtime cost, subject to latency constraints, is minimized. Results show that the proposed solutions, particularly the deep learning based one, vastly improve the verall reliability, while performing close to MORE multicast in terms of airtime and to B.A.T.M.A.N. in latency, both being the best candidates in the respective discipline among the tested ones.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
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Sreekrishna Pandi; Frank Gabriel; Oleksandr Zhdanenko; Simon Wunderlich; Frank H. P. Fitzek
MESHMERIZE: An Interactive Demo of Resilient Mesh Networks in Drones Proceedings Article
In: 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2019), Las Vegas, USA, 2019.
@inproceedings{Pand1901:MESHMERIZE, title = {MESHMERIZE: An Interactive Demo of Resilient Mesh Networks in Drones}, author = {Sreekrishna {Pandi} and Frank {Gabriel} and Oleksandr {Zhdanenko} and Simon {Wunderlich} and Frank H. P. {Fitzek}}, year = {2019}, date = {2019-01-01}, booktitle = {2019 16th IEEE Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2019)}, address = {Las Vegas, USA}, abstract = {Meshmerize is an opportunistic multi-path wireless mesh routing protocol designed for dynamic networks. It ensures persistent connectivity to even mobile nodes in the network. Classical mesh routing protocols fail frequently when the nodes are mobile. In this demo, we demonstrate the resilience of Meshmerize and the shortcomings of the classical protocols using an emulated drone network. The audience can pilot a (virtual) drone in a city through a meshed network of base stations and experience the latency and reliability of both protocols first hand.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }