NearSense: Exploring NearLink for New-Generation Wireless Sensing

  • Zijun Han
  • , Xuanzhi Wang
  • , Yang Li
  • , Dan Wu
  • , Hongliu Yang
  • , Wanru Ning
  • , Zhiyun Yao
  • , Wenwei Li
  • , Xingqing Cheng
  • , Zixiang Ma
  • , Daqing Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

Recent years have witnessed considerable efforts in repurposing ubiquitous wireless communication signals for non-contact sensing. NearLink is a new-generation short-range wireless communication protocol, which is designed to address the high-quality network connectivity requirements of low power, low latency and high reliability. Given these notable advantages, NearLink has great potential for widespread application in various Internet of Things (IoT) areas. However, NearLink-based wireless sensing has not yet been explored. To bridge this gap, this work explores for the first time the sensing potential and opportunities of NearLink. Specifically, we systematically investigate the sensing capability of NearLink through answering two key questions: (1) How can NearLink’s communication-oriented signals be adapted for sensing tasks? (2) How can sensing performance be enhanced under multipath interference and low-power constraints? We prototype the NearLink sensing system-NearSense, and take the respiration detection as a case study to demonstrate its effectiveness. Extensive experiments demonstrate that NearSense can achieve an average detection rate of 98% and a false alarm rate below 1.5% in case of various real-life challenging interference. We believe this work opens up new directions for the new-generation wireless sensing towards high-quality network connections.

Original languageEnglish
JournalIEEE Transactions on Mobile Computing
DOIs
Publication statusAccepted/In press - 1 Jan 2026

Keywords

  • High-quality Network Connectivity
  • NearLink Signal
  • Respiration Detection
  • Wireless Sensing

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