Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation

Fadhel Ghannouchi; Jia Hu; John Thompson; Kejie Chen; Ling Pei; Long Chen; Maosong Wang; Naser El-Sheimy; Ruizhi Chen; Xiaoji Niu

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Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation

You Li, Yuan Zhuang, Xin Hu, Zhouzheng Gao, Jia Hu, Long Chen, Zhe He, Ling Pei

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Kejie Chen, Maosong Wang, Xiaoji Niu, Ruizhi Chen, John Thompson, Fadhel Ghannouchi, Naser El-Sheimy

Networking and Internet Architecture · Submitted 7 Apr 2020

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Thus, this survey provides comprehensive guidance for peers who are interested in enabling localization ability in the existing IoT systems, using IoT systems for localization, or integrating IoT signals with the existing localization sensors.

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arXiv ID2004.03738 (version 1)

Pith IDO3M7IQL5, Pith's permanent record of this paper and its review

CitationFadhel Ghannouchi, Jia Hu, John Thompson, Kejie Chen, Ling Pei, Long Chen, Maosong Wang, Naser El-Sheimy, Ruizhi Chen, Xiaoji Niu, Xin Hu, You Li, Yuan Zhuang, Zhe He, Zhouzheng Gao. "Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation." arXiv:2004.03738 (2020). https://pith.science/paper/O3M7IQL5

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What the abstract itself states, as probabilities: claims first 0.17 · states limitation 0.07 · human participants 0.04 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.59 · mentions code or data availability 0.02.

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arXiv listing abstract v1. Results and the main claim are underlined; show every role.

The Internet of Things (IoT) has started to empower the future of many industrial and mass-market applications. Localization techniques are becoming key to add location context to IoT data without human perception and intervention. Meanwhile, the newly-emerged Low-Power Wide-Area Network (LPWAN) technologies have advantages such as long-range, low power consumption, low cost, massive connections, and the capability for communication in both indoor and outdoor areas. These features make LPWAN signals strong candidates for mass-market localization applications. However, there are various error sources that have limited localization performance by using such IoT signals. This paper reviews the IoT localization system through the following sequence: IoT localization system review -- localization data sources -- localization algorithms -- localization error sources and mitigation -- localization performance evaluation. Compared to the related surveys, this paper has a more comprehensive and state-of-the-art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original review on IoT localization performance evaluation, and a more comprehensive review of IoT localization applications, opportunities, and challenges. Thus, this survey provides comprehensive guidance for peers who are interested in enabling localization ability in the existing IoT systems, using IoT systems for localization, or integrating IoT signals with the existing localization sensors.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	The Internet of Things (IoT) has started to empower the future of many industrial and mass-market applications.	background 1.00	0.04	0.02	asserted 0.99
s1	Localization techniques are becoming key to add location context to IoT data without human perception and intervention.	background 1.00	0.05	0.04	asserted 0.97
s2	Meanwhile, the newly-emerged Low-Power Wide-Area Network (LPWAN) technologies have advantages such as long-range, low power consumption, low cost, massive connections, and the capability for communication in both indoor and outdoor areas.	background 1.00	0.06	0.03	asserted 1.00
s3	These features make LPWAN signals strong candidates for mass-market localization applications.	background 0.89	0.12	0.05	hedged possibility 0.50
s4	However, there are various error sources that have limited localization performance by using such IoT signals.	background 0.83	0.08	0.05	asserted 1.00
s5	This paper reviews the IoT localization system through the following sequence: IoT localization system review -- localization data sources -- localization algorithms -- localization error sources and mitigation -- localization performance evaluation.	method 0.51	0.60	0.05	asserted 0.95
s6	Compared to the related surveys, this paper has a more comprehensive and state-of-the-art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original review on IoT localization performance evaluation, and a more comprehensive review of IoT localization applications, opportunities, and challenges.	contribution 1.00	0.82	0.26	asserted 1.00
s7	Thus, this survey provides comprehensive guidance for peers who are interested in enabling localization ability in the existing IoT systems, using IoT systems for localization, or integrating IoT signals with the existing localization sensors.	interpretation 0.48	0.56	0.58	asserted 0.99

What kind of paper the classifier reports this is: review 1.00 · evidence from literature 1.00.

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arXiv listing abstract v1

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper

Original abstract

The Internet of Things (IoT) has started to empower the future of many industrial and mass-market applications. Localization techniques are becoming key to add location context to IoT data without human perception and intervention. Meanwhile, the newly-emerged Low-Power Wide-Area Network (LPWAN) technologies have advantages such as long-range, low power consumption, low cost, massive connections, and the capability for communication in both indoor and outdoor areas. These features make LPWAN signals strong candidates for mass-market localization applications. However, there are various error sources that have limited localization performance by using such IoT signals. This paper reviews the IoT localization system through the following sequence: IoT localization system review -- localization data sources -- localization algorithms -- localization error sources and mitigation -- localization performance evaluation. Compared to the related surveys, this paper has a more comprehensive and state-of-the-art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original review on IoT localization performance evaluation, and a more comprehensive review of IoT localization applications, opportunities, and challenges. Thus, this survey provides comprehensive guidance for peers who are interested in enabling localization ability in the existing IoT systems, using IoT systems for localization, or integrating IoT signals with the existing localization sensors.

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References

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2 arXiv papers cite this in 2 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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Cites it as background 2 papers

Main localization algorithms are geometrical algorithms, database matching, and dead-reckoning, as summarized in [ref] .

Integrated Communication and Localization in mmWave Systems · Localization with Model-based Neural Networks · 0.96
With the rapidly increasing popularity of LPWAN technologies for lower power and long range communications and the importance of localization, recent research has attempted to address the challenges and error sources based on LPWAN infrastructure to improve localization accuracy [ref] .

Seirios: Leveraging Multiple Channels for LoRaWAN Indoor and Outdoor Localization · LoRa Localization · 0.96

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