Enabling IEEE 802.15.4-2015 TSCH based Wireless Network for Electric Vehicle Battery Management

Gall, Guillaume Le; Montavont, Nicolas; Papadopoulos, Georgios Z.

doi:10.1109/iscc50000.2020.9219551

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…This strategy uses an exponentially weighted moving average to independently measure the packet delivery ratio for each channel [ 26 ]. Gall et al conducted real-world experiments to measure the link quality for wireless nodes placed inside an EV battery pack, in which the packet delivery ratio was used to describe the link quality [ 27 ].…”

Section: Related Workmentioning

confidence: 99%

Revisiting Link Quality Metrics and Models for Multichannel Low-Power Lossy Networks

Mao

Yan²,

Xia

et al. 2023

Sensors

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Multichannel communication has great potential in environments with unknown interference patterns. However, existing link quality metrics and models are generally established and verified under a single-channel scenario, which does not consider the impacts of radio interference and channel change. Therefore, it is hard to directly judge whether these metrics and models are still valid under a multichannel scenario. This paper empirically analyzes the applicability of popular link quality metrics and models in multiple channels with different interference levels. Results show that the link quality estimation (LQE) capability of traditional metrics will be affected by the interference level of the channel, which makes the conclusions obtained under a single-channel scenario no longer valid. Meanwhile, traditional LQE models are basically not adaptive to radio interference and channel change. They are only valid for channels with similar interference under which they are modeled. If these models are directly used under a multichannel scenario, the link quality will be overestimated inevitably. In other words, traditional LQE metrics and models cannot be directly used in the multichannel scenario. It is necessary to deeply analyze the statistical characteristics of popular link quality metrics in multiple typical channels and design channel and interference adaptive metrics and models to support effective multichannel communication.

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Section: Related Workmentioning

confidence: 99%