Leveraging online learning for CSS in frugal IoT network
We present a novel method for centralized collaborative spectrum sensing for IoT network leveraging cognitive radio network. Based on an online learning framework, we propose an algorithm to efficiently combine the individual sensing results based on the past performance of each detector. Additionally, we show how to utilize the learned normalized weights as a proxy metric of detection accuracy and selectively enable the sensing at detectors. Our results show improved performance in terms of inter-user collision and misdetection. Further, by selectively enabling some of the devices in the network, we propose a strategy to extend the field life of devices without compromising on detection accuracy.
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Nancy Nayak (add twitter)
Vishnu Raj (add twitter)
Sheetal Kalyani (add twitter)
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07/17/19 06:05PM
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mathITbot: Nancy Nayak, Vishnu Raj, Sheetal Kalyani : Leveraging online learning for CSS in frugal IoT network https://t.co/eL7IKO9PDe https://t.co/v5H1o5TOxl
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