Performance assessment of long‐range and Sigfox protocols with mobility support

Oliveira, Luiz Henrique de; Rodrigues, Joel J. P. C.; Kozlov, Sergei A.; Rabêlo, Ricardo A. L.; Furtado, Vasco

doi:10.1002/dac.3956

Cited by 17 publications

(16 citation statements)

References 23 publications

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“…Such power is completely safe as shown in [47][48][49][50][51]. Other LPWAN technologies such as SigFox use similar amount of energy but the duty policies allow just 144 messages per day [52] and it is not enough to send movement data. Satellite communications main drawback is the associated cost, which is quite high if we are sending movement data.…”

Section: Discussionmentioning

confidence: 99%

Real-Time Extensive Livestock Monitoring Using LPWAN Smart Wearable and Infrastructure

et al. 2021

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Extensive unsupervised livestock farming is a habitual technique in many places around the globe. Animal release can be done for months, in large areas and with different species packing and behaving very differently. Nevertheless, the farmer’s needs are similar: where livestock is (and where has been) and how healthy they are. The geographical areas involved usually have difficult access with harsh orography and lack of communications infrastructure. This paper presents the design of a solution for extensive livestock monitoring in these areas. Our proposal is based in a wearable equipped with inertial sensors, global positioning system and wireless communications; and a Low-Power Wide Area Network infrastructure that can run with and without internet connection. Using adaptive analysis and data compression, we provide real-time monitoring and logging of cattle’s position and activities. Hardware and firmware design achieve very low energy consumption allowing months of battery life. We have thoroughly tested the devices in different laboratory setups and evaluated the system performance in real scenarios in the mountains and in the forest.

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Section: Discussionmentioning

confidence: 99%

Real-Time Extensive Livestock Monitoring Using LPWAN Smart Wearable and Infrastructure

et al. 2021

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“…Meanwhile, to meet the requirement of low power consumption, IoT nodes commonly have low sampling rates. Furthermore, the existence of massive numbers of nodes may lead to data collision, loss [41], and latency [117]. Both data loss and latency may directly lead to localization errors.…”

Section: A End-device-related Errorsmentioning

confidence: 99%

Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation

Zhuang

et al. 2021

IEEE Internet Things J.

145

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Localization techniques are becoming key to add location context to Internet of Things (IoT) data without human perception and intervention. Meanwhile, the newly-emerged Low-Power Wide-Area Network (LPWAN) and 5G technologies have become strong candidates for mass-market localization applications. However, various error sources 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 sourceslocalization algorithms -localization error sources and mitigation -localization performance evaluation. Compared to the related surveys, this paper has a more comprehensive and state-of-theart 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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“…In the review, we analyzed all papers mentioning Sigfox. The typical research topics identified include connection quality and reliability [3], [8]- [10], mobility [3], [8], [9], [11], send latency [12], [13], power efficiency [14]- [18], and localization [10], [19]- [21].…”

Section: Related Workmentioning

confidence: 99%

Experimental Evaluation of End-to-End Delay in a Sigfox Network

et al. 2022

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This work presents an experimental evaluation of end-to-end delay in Sigfox networks, considering measurements from the transmitter to the server. We carried out two types of cases. The first was a static experiment with a typical delivery time ranging between 2.5 and 4.5 seconds, with a 100% delivery rate. The second considers mobility, with the experiments carried out in mostly rural environments in which the transmitter is inside a car. In this case, we observed a delivery rate of 20% and an end-to-end delay of up to eight seconds. Our evaluation empirically indicates performance limitations that application developers should consider.

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Performance assessment of long‐range and Sigfox protocols with mobility support

Cited by 17 publications

References 23 publications

Real-Time Extensive Livestock Monitoring Using LPWAN Smart Wearable and Infrastructure

Real-Time Extensive Livestock Monitoring Using LPWAN Smart Wearable and Infrastructure

Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation

Experimental Evaluation of End-to-End Delay in a Sigfox Network

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