Internet of Things-Based Framework to Facilitate Indoor Localization Education

Atabekov, Amir; He, Jing; Bobbie, Patrick O.

doi:10.1109/compsac.2016.143

Cited by 10 publications

(8 citation statements)

References 7 publications

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“…A flexible architecture can be achieved, as discussed inReference [53]. All applications can benefit from new, low-power WSN standards and platforms, as illustrated in References [47,48,49,50,51]. By taking them into account, a modular IoT architecture is proposed in Reference [4].…”

Section: Related Workmentioning

confidence: 99%

“…By taking them into account, a modular IoT architecture is proposed in Reference [4]. While LoRa and ZigBee [48,50,51] are perceived as more suitable, most implementations do not consider, in their analysis, IoT-based requirements such as connectivity and cost (illustrated in the last columns of Table 1 and Table 2). Different WSN deployment strategies can be adapted in this sense to solve coverage, network connectivity, deployment cost, energy efficiency, life span, data fidelity, and load balancing issues.…”

Section: Related Workmentioning

confidence: 99%

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Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Borza

Machedon-Pisu

Hamza-Lup

2019

Sensors

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Autonomous Wireless Sensors (AWSs) are at the core of every Wireless Sensor Network (WSN). Current AWS technology allows the development of many IoT-based applications, ranging from military to bioengineering and from industry to education. The energy optimization of AWSs depends mainly on: Structural, functional, and application specifications. The holistic design methodology addresses all the factors mentioned above. In this sense, we propose an original solution based on a novel architecture that duplicates the transceivers and also the power source using a hybrid storage system. By identifying the consumption needs of the transceivers, an appropriate methodology for sizing and controlling the power flow for the power source is proposed. The paper emphasizes the fusion between information, communication, and energy consumption of the AWS in terms of spectrum information through a set of transceiver testing scenarios, identifying the main factors that influence the sensor node design and their inter-dependencies. Optimization of the system considers all these factors obtaining an energy efficient AWS, paving the way towards autonomous sensors by adding an energy harvesting element to them.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Borza

Machedon-Pisu

Hamza-Lup

2019

Sensors

View full text Add to dashboard Cite

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“…The system is simulated as a prototype for a monitoring platform but no performance analysis is conducted. An IoT-based framework is presented in [17] to facilitate the education of indoor localization employing Arduino and XBee wireless modules to perform indoor localization through RSSI-based triangulation. This is used to determine the position and dynamic map of nodes in the indoor environment but is limited in its accuracy and efficiency.…”

Section: Localization and Objectmentioning

confidence: 99%

“…Numerous IoT architectures are presented in the literature [16][17][18][19][20][21] with each customized to address one specific application but not modular to be applicable for diverse applications. In this paper, we propose a modular IoT architecture that can be configured to serve the needs of different IoT applications including but not limited to (i) smart home, city, industry for environment control, optimizing energy usage, and automating appliances; (ii) agriculture for soil and temperature monitoring, optimal usage of irrigation systems, and early detection of plant diseases; (iii) healthcare for monitoring patient physiological parameters and remote motion tracking to name a few.…”

Section: Introductionmentioning

confidence: 99%

An Application-Driven Modular IoT Architecture

Yelamarthi

Aman

Abdelgawad

2017

Wireless Communications and Mobile Computing

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Building upon the advancements in the recent years, a new paradigm in technology has emerged in Internet of Things (IoT). IoT has allowed for communication with the surrounding environment through a multitude of sensors and actuators, yet operating on limited energy. Several researchers have presented IoT architectures for respective applications, often challenged by requiring major updates for adoption to a different application. Further, this comes with several uncertainties such as type of computational device required at the edge, mode of wireless connectivity required, methods to obtain power efficiency, and not ensuring rapid deployment. This paper starts with providing a horizontal overview of each layer in IoT architecture and options for different applications. Then it presents a broad application-driven modular architecture, which can be easily customized for rapid deployment. This paper presents the diverse hardware used in several IoT layers such as sensors, embedded processors, wireless transceivers, internet gateway, and application management cloud server. Later, this paper presents implementation results for diverse applications including healthcare, structural health monitoring, agriculture, and indoor tour guide systems. It is hoped that this research will assist the potential user to easily choose IoT hardware and software as it pertains to their respective needs.

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“…Finally, the data collected through the system can be analyzed and used for additional purposes, such as resource management, attendance checking, or tutor time tracking management. Additionally, the localization technique described in this work can also be used to facilitate indoor localization education [42] The smart classroom system can also greatly help students who are visually or hearing impaired, they can use the Android application to know which classmates showed up to class and if they are sitting in front or behind them so that they can communicate with them.…”

Section: Chapter 8 Conclusionmentioning

confidence: 99%