WE-Safe: A wearable IoT sensor node for safety applications via LoRa

Wu, Fan; Rüdiger, Christoph; Redouté, Jean-Michel; Yuce, Mehmet Rasit

doi:10.1109/wf-iot.2018.8355234

Cited by 50 publications

(25 citation statements)

References 9 publications

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“…It contemplates the monitoring and protection of the environment, as well as the sustainable management of the available resources.Smart living. The technologies used in these fields can monitor diverse living aspects in the campus facilities, such as personal safety [36], health [37] or crowd sensing [38]. Smart economy.…”

Section: Related Workmentioning

confidence: 99%

Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications

Fraga‐Lamas

Celaya-Echarri

López-Iturri

et al. 2019

Sensors

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A smart campus is an intelligent infrastructure where smart sensors and actuators collaborate to collect information and interact with the machines, tools, and users of a university campus. As in a smart city, a smart campus represents a challenging scenario for Internet of Things (IoT) networks, especially in terms of cost, coverage, availability, latency, power consumption, and scalability. The technologies employed so far to cope with such a scenario are not yet able to manage simultaneously all the previously mentioned demanding requirements. Nevertheless, recent paradigms such as fog computing, which extends cloud computing to the edge of a network, make possible low-latency and location-aware IoT applications. Moreover, technologies such as Low-Power Wide-Area Networks (LPWANs) have emerged as a promising solution to provide low-cost and low-power consumption connectivity to nodes spread throughout a wide area. Specifically, the Long-Range Wide-Area Network (LoRaWAN) standard is one of the most recent developments, receiving attention both from industry and academia. In this article, the use of a LoRaWAN fog computing-based architecture is proposed for providing connectivity to IoT nodes deployed in a campus of the University of A Coruña (UDC), Spain. To validate the proposed system, the smart campus has been recreated realistically through an in-house developed 3D Ray-Launching radio-planning simulator that is able to take into consideration even small details, such as traffic lights, vehicles, people, buildings, urban furniture, or vegetation. The developed tool can provide accurate radio propagation estimations within the smart campus scenario in terms of coverage, capacity, and energy efficiency of the network. The results obtained with the planning simulator can then be compared with empirical measurements to assess the operating conditions and the system accuracy. Specifically, this article presents experiments that show the accurate results obtained by the planning simulator in the largest scenario ever built for it (a campus that covers an area of 26,000 m 2 ), which are corroborated with empirical measurements. Then, how the tool can be used to design the deployment of LoRaWAN infrastructure for three smart campus outdoor applications is explained: a mobility pattern detection system, a smart irrigation solution, and a smart traffic-monitoring deployment. Consequently, the presented results provide guidelines to smart campus designers and developers, and for easing LoRaWAN network deployment and research in other smart campuses and large environments such as smart cities.

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Section: Related Workmentioning

confidence: 99%

Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications

Fraga‐Lamas

Celaya-Echarri

López-Iturri

et al. 2019

Sensors

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“…WE-Safe [40] is a real-time, low power wearable sensor node platform that supports multiple environmental sensors and is aimed at monitoring harmful gases and elements such as carbon monoxide, carbon dioxide, particulate matter, and ultraviolet rays. The sensor node uses the Long Range (LoRa) based gateway to establish communication between the environmental sensors and the cloud.…”

Section: Related Workmentioning

confidence: 99%

Rapidly Deployable IoT Architecture with Data Security: Implementation and Experimental Evaluation

Maitra

Yelamarthi

2019

Sensors

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Internet of Things (IoT) has brought about a new horizon in the field of pervasive computing and integration of heterogeneous objects connected to the network. The broad nature of its applications requires a modular architecture that can be rapidly deployed. Alongside the increasing significance of data security, much research has focused on simulation-based encryption algorithms. Currently, there is a gap in the literature on identifying the effect of encryption algorithms on timing and energy consumption in IoT applications. This research addresses this gap by presenting the design, implementation, and practical evaluation of a rapidly deployable IoT architecture with embedded data security. Utilizing open-source off-the-shelf components and widely accepted encryption algorithms, this research presents a comparative study of Advanced Encryption Standards (AES) with and without hardware accelerators and an eXtended Tiny Encryption Algorithm (XTEA) to analyze the performance in memory, energy, and execution time. Experimental results from implementation in multiple IoT applications has shown that utilizing the AES algorithm with a hardware accelerator utilizes the least amount of energy and is ideal where timing is a major constraint, whereas the XTEA algorithm is ideal for resource constrained microcontrollers. Additionally, software implementation of AES on 8-bit PIC architecture required 6.36x more program memory than XTEA.

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“…The drawback is that the solar energy will disappear at night and this should be considered in the power management unit of a sensor node. [1] A Smart Sensing Architecture for Misalignment Measurements (2018) is used for Smart sensing architecture based on inductive readout are very intriguing solutions. The proposed system is based on a primary coil as a fixed sensing element and in front of it, a movable and battery-less receiving sensor coil.…”

Section: F Observationmentioning

confidence: 99%

Easy Payout, Advanced shopping, and Security in Super Market

Priya*¹,

Agrawal²,

Roy³

et al. 2019

IJITEE

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Abstract: Nowadays there is a very common issue among the general public that is lack of time. This lack of time has let the consumers to be impatient. Another most important threat to the shop or supermarket owners are theft. Many cases persist in robbery or theft in this modern era. Despite having security systems, alarms and security guards there exists the cases of theft. This leads to a huge loss to the market as well as the shop owners. They face a great challenge due to this. This idea is capable of reducing or rather preventing these issues to occur. This will provide consumers with an easy and time-efficient way. The idea if the project is to deduce a method for smart super-market stores that operate efficiently by reducing the time a customer spends at the billing desk. The target can be achieved by the use of smart bands designed especially for use by the super-market which will keep accumulating the price of the products taken off the racks by the customer. The total system will work on sensors and cloud monitoring which while the shopping will get updated by the user.When the customer is done with shopping, they can request an electronic bill that will allow payment in any of the available formats and will enable the customer to collect the physical bill after the successful payment of the total bill. This payment will be directly made by scanning the code in the billing counter through the band which will directly reflect the amount from the temporary cart and the payment will be proceeded in anyways according to the shopper.

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WE-Safe: A wearable IoT sensor node for safety applications via LoRa

Cited by 50 publications

References 9 publications

Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications

Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications

Rapidly Deployable IoT Architecture with Data Security: Implementation and Experimental Evaluation

Easy Payout, Advanced shopping, and Security in Super Market

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