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Maximizing Sampling Data Upload in Ambient Backscatter-Assisted Wireless-Powered Networks
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DOI：10.1109/JIOT.2021.3061087.png)
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摘要
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This article studies a novel problem that aims to maximize the number of uploaded samples by devices in wireless-powered Internet of Things (IoT) networks. To do so, it takes advantage of ambient backscatter communications (AmBC) to help sensor devices conserve energy, and thus leaving them with more energy to collect samples. We outline a mixed-integer linear program (MILP) that aims to determine the operation mode of each device in each time slot in order to maximize the total amount of uploaded samples. We also present a heuristic approach to set the operation mode of devices based on their residual energy and data. Our results show that as compared to the case without AmBC, the total data uploaded by devices increases by 48% and 45% for the MILP and heuristic, respectively-both of which exploit AmBC.
Keyword:
Backscatter
Relays
Radio frequency
Data communication
Wireless communication
Internet of Things
Wireless sensor networks
Ambient backscatter communications (AmBC)
link schedule
optimization
sampling
wireless-powered networks
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IF:
8.9
论文数:
1.4W
被引数:
7.8W
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