ILLOC: In-Hall Localization with Standard LoRaWAN Uplink Frames
Dongfang Guo, Chaojie Gu, Linshan Jiang, Wenjie Luo, Rui Tan
Abstract
LoRaWAN is a narrowband wireless technology for ubiquitous connectivity. For various applications, it is desirable to localize LoRaWAN devices based on their uplink frames that convey application data. This localization service operates in an unobtrusive manner, in that it requires no special software instrumentation to the LoRaWAN devices. This paper investigates the feasibility of unobtrusive localization for LoRaWAN devices in hall-size indoor spaces like warehouses, airport terminals, sports centers, museum halls, etc. We study the TDoA-based approach, which needs to address two challenges of poor timing performance of LoRaWAN narrowband signal and nanosecond-level clock synchronization among anchors. We propose the ILLOC system featuring two LoRaWAN-specific techniques: (1) the cross-correlation among the differential phase sequences received by two anchors to estimate TDoA and (2) the just-in-time synchronization enabled by a specially deployed LoRaWAN end device providing time reference upon detecting a target device's transmission. In a long tunnel corridor, a 70 × 32 m 2 sports hall, and a 110 × 70 m 2 indoor plaza with extensive non-line-of-sight propagation paths, ILLOC achieves median localization errors of 6 m (with 2 anchors), 8.36 m (with 6 anchors), and 15.16 m (with 6 anchors and frame fusion), respectively. The achieved accuracy makes ILLOC useful for applications including zone-level asset tracking, misplacement detection, airport trolley management, and cybersecurity enforcement like detecting impersonation attacks launched by remote radios.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 46fa8d4e-b25c-4efd-9288-143bf9e56b87Cited by top-tier papers2
- One Shot for All: Quick and Accurate Data Aggregation for LPWANsNingning Hou, Xianjin Xia, Yifeng Wang, Yuanqing ZhengINFOCOM 2023 · 14 citations
- MC-LoRa: Multi-node Concurrent Localization for LoRaWAN Indoors and OutdoorsHan Hao, Wei Xi, Andreas Kuster, Amalinda Gamage et al.UbiComp 2025 · 4 citations
Builds on5
- Deep learning based wireless localization for indoor navigationRoshan Sai Ayyalasomayajula, Aditya Arun, Chenfeng Wu, Sanatan Sharma et al.MobiCom 2020 · 221 citations
- LMAC: efficient carrier-sense multiple access for LoRaAmalinda Gamage, Jansen Christian Liando, Chaojie Gu, Rui Tan et al.MobiCom 2020 · 123 citations
- Exploring LoRa for Long-range Through-wall SensingFusang Zhang, Zhaoxin Chang, Kai Niu, Jie Xiong et al.UbiComp 2020 · 108 citations
- Unlocking the Beamforming Potential of LoRa for Long-range Multi-target Respiration SensingFusang Zhang, Zhaoxin Chang, Jie Xiong, Rong Zheng et al.UbiComp 2021 · 70 citations
- Seirios: leveraging multiple channels for LoRaWAN indoor and outdoor localizationJun Liu, Jiayao Gao, Sanjay K. Jha, Wen HuMobiCom 2021 · 50 citations
Related papers
- Multi-Node Concurrent Localization in LoRa Networks: Optimizing Accuracy and EfficiencyJingkai Lin, Runqun Xiong, Zhuqing Xu, Wei Tian et al.INFOCOM 2024 · 8 citations
- ULoc: Low-Power, Scalable and cm-Accurate UWB-Tag Localization and Tracking for Indoor ApplicationsMinghui Zhao, Tyler Chang, Aditya Arun, Roshan Sai Ayyalasomayajula et al.UbiComp 2021 · 78 citations
- MULoc: Towards Millimeter-Accurate Localization for Unlimited UWB Tags via Anchor OverhearingJunqi Ma, Fusang Zhang, Beihong Jin, Siheng Li et al.INFOCOM 2025 · 5 citations
- Toward Reliable Non-Line-of-Sight Localization Using Multipath ReflectionsXianan Zhang, Lieke Chen, Mingjie Feng, Tao JiangUbiComp 2022 · 39 citations
- VULoc: Accurate UWB Localization for Countless Targets without SynchronizationJing Yang, Baishun Dong, Jiliang WangUbiComp 2022 · 31 citations
