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

被引:3
|
作者
Mao, Jing [1 ]
Zhao, Yan [2 ]
Xia, Yu [3 ]
Yang, Zhuopeng [2 ]
Xu, Cheng [3 ]
Liu, Wei [1 ]
Huang, Daqing [3 ]
机构
[1] Chongqing Univ Technol, Sch Elect & Elect Engn, Chongqing 400054, Peoples R China
[2] China Aerosp Acad Syst Sci & Engn, Beijing 100037, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 210016, Peoples R China
基金
中国国家自然科学基金;
关键词
link quality; multichannel; single channel; interference; low-power lossy network; packet reception ratio (PRR); physical layer metrics;
D O I
10.3390/s23031303
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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affected by the interference level of the channel, which makes the conclusions obtained under a single-channel scenario no longer valid.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.
引用
收藏
页数:21
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