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- W4220877956 abstract "Simulations have shown multi-armed bandit (MAB) algorithms to be suitable for optimizing channel hopping in IEEE 802.15.4 networks. Thus far, however, there appears to be no practical implementation of this approach, presumably because typical IEEE 802.15.4 nodes lack both floating-point unit (FPUs) and big amounts of random-access memory (RAM). In this paper, we propose fixed-point arithmetic and implementation shortcuts to circumvent these constraints. We focus on two specific multi-armed bandit (MAB) algorithms, namely sliding-window upper confidence bound (SW-UCB) and its predecessor discounted UCB (D-UCB). SW-UCB is particularly promising since it requires only tractable fixed-point arithmetic, while yielding high packet delivery ratios (PDRs) according to prior work. D-UCB, on the other hand, additionally opens up an implementation shortcut that saves RAM. Our implementations of SW-UCB and D-UCB are integrated into Contiki-NG, yet can also be used out-of-tree in a simulation environment. We show our SW-UCB (resp. D-UCB) implementation to attain PDRs of 98.6% (resp. 99.2%) under appropriate parameter settings in the context of intra-body communication. Also, we demonstrate D-UCB to incur a moderate RAM, program memory, and processing overhead on CC2538 SoCs, whereas we find SW-UCB too RAM-consuming for these chips. Finally, using Monte Carlo simulations, we show our SW-UCB and D-UCB implementations to perform equally well as floating-point counterparts." @default.
- W4220877956 created "2022-04-03" @default.
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- W4220877956 date "2022-01-01" @default.
- W4220877956 modified "2023-10-16" @default.
- W4220877956 title "Multi-Armed Bandit-Based Channel Hopping: Implementation on Embedded Devices" @default.
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- W4220877956 doi "https://doi.org/10.1007/978-3-030-98978-1_3" @default.
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