scholarly journals Distributed Reprogramming on the Edge: A New Collaborative Code Dissemination Strategy for IoT

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 267 ◽  
Author(s):  
Gabriel Mujica ◽  
Jorge Portilla
Keyword(s):  
Dissemination Strategy ◽  
Embedded Sensing ◽  
Sensing Platforms ◽  
Code Dissemination ◽  
Heterogeneous Technologies ◽  
Field Dynamic ◽  
Network Reprogramming ◽  
Extreme Edge ◽  
Dynamic Collaboration ◽  
The Internet Of Things

The ongoing era of the Internet of Things is opening up new opportunities towards the integration and interoperation of heterogeneous technologies at different abstraction layers, going from the so-called Edge Computing up to the Cloud and IoT Data Analytics level. With this evolution process the issue of efficient remote reprogramming on the Edge and the Extreme Edge deployments is becoming accentuated, as the amount and diversity of embedded sensing platforms is getting larger. To take advantage of the participation of heterogeneous devices and their in-field dynamic collaboration, in this work a new distributed code dissemination strategy for Edge node reprogramming is proposed, so as to efficiently support the functional reconfiguration, optimization and updating of sensor devices. It combines a partial reprogramming engine integrated into a modular sensor node architecture, with a smart IoT wearable platform for implementing the field collaborative framework. Results show that the proposed solution outperforms other traditional centric dissemination strategies, particularly when expanding the network reprogramming diversity and scale, which is an increasingly common feature in the IoT device deployments and maintenance.

scholarly journals A Learning Management System Enhanced with Internet of Things Applications

2018 ◽  
Vol 7 (3) ◽  
pp. 23 ◽  
Author(s):  
Khaleel Mershad ◽  
Pilar Wakim
Keyword(s):  
Internet Of Things ◽  
Training Material ◽  
Assessment And Evaluation ◽  
Research Fields ◽  
The Arts ◽  
Learning Management ◽  
Dynamic Collaboration ◽  
Main Component ◽  
Rich Content ◽  
The Internet Of Things

A breakthrough in the development of online learning occurred with the utilization of Learning Management Systems (LMS) as a tool for creating, distributing, tracking, and managing various types of educational and training material. Since the appearance of the first LMS, major technological enhancements transformed this tool into a powerful application for managing curriculum, providing rich-content courseware, assessment and evaluation, and dynamic collaboration. With several current research fields targeting various technologies related to the LMS, the future promises many changes in its structure, operations, and implementation. The most important technology that is expected to transform many future aspects is the Internet of Things (IoT). In this paper, we provide a framework for a future LMS enhanced by IoT capabilities. We outline several elements of the LMS that will be affected by IoT, and the expected enhancements and changes that IoT will bring to the LMS functionalities. The framework presented for the IoT-enhanced LMS constitutes the main component of a three year research project that is being conducted at the Arts, Sciences, and Technology University (AUL). In this paper, we illustrate the main parts of this project and the implementation plan of each part, including the prospected outcomes and benefits.

scholarly journals The Extreme Edge at the Bottom of the Internet of Things: A Review

2019 ◽  
Vol 19 (9) ◽  
pp. 3179-3190 ◽  
Author(s):  
Jorge Portilla ◽  
Gabriel Mujica ◽  
Jin-Shyan Lee ◽  
Teresa Riesgo
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Extreme Edge ◽  
The Internet Of Things

scholarly journals FlexiS—A Flexible Sensor Node Platform for the Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5154
Author(s):  
Duc Minh Pham ◽  
Syed Mahfuzul Aziz
Keyword(s):  
Internet Of Things ◽  
High Performance ◽  
Sensor Node ◽  
Economic Benefits ◽  
Sensor Nodes ◽  
The Internet ◽  
Flexible Sensor ◽  
Sensing Platforms ◽  
And Performance ◽  
The Internet Of Things

In recent years, significant research and development efforts have been made to transform the Internet of Things (IoT) from a futuristic vision to reality. The IoT is expected to deliver huge economic benefits through improved infrastructure and productivity in almost all sectors. At the core of the IoT are the distributed sensing devices or sensor nodes that collect and communicate information about physical entities in the environment. These sensing platforms have traditionally been developed around off-the-shelf microcontrollers. Field-Programmable Gate Arrays (FPGA) have been used in some of the recent sensor nodes due to their inherent flexibility and high processing capability. FPGAs can be exploited to huge advantage because the sensor nodes can be configured to adapt their functionality and performance to changing requirements. In this paper, FlexiS, a high performance and flexible sensor node platform based on FPGA, is presented. Test results show that FlexiS is suitable for data and computation intensive applications in wireless sensor networks because it offers high performance with low energy profile, easy integration of multiple types of sensors, and flexibility. This type of sensing platforms will therefore be suitable for the distributed data analysis and decision-making capabilities the emerging IoT applications require.

scholarly journals Development of a Module to Teach Basic Concepts of Interfacing and Connectivity in Internet of Things

2018 ◽  
Author(s):  
Obasegun Tekena Ayodele
Keyword(s):  
Internet Of Things ◽  
Undergraduate Students ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Training Module ◽  
Analog To Digital ◽  
Digital To Analog Converters ◽  
Embedded Sensing ◽  
Laboratory Training ◽  
The Internet Of Things

This paper presents a basic laboratory training module aimed at helping undergraduate students understand the interfacing and connectivity issues involved in the Internet of things (IoT). The training module uses a sequential teaching approach to draft quasi-experiments for teaching basic IoT concepts. Interfacing includes identification, embedded sensing and embedded actuating while connectivity includes wireless connectivity and web/ mobile services. An IoT function (control and/or measurement) is first selected by users based on the physical variable of interest and the action to be carried out. The user will also select a connectivity option based on network types and transmission technologies available for communication between a sensor and/or an actuator and a gateway. The available connectivity options in this work are Bluetooth and RF. An interface is then setup based on the choices made using Arduino Pro Mini as microcontroller. Arduino Yun and a smartphone are the available gateway options depending on the connectivity option of the interface. When Bluetooth is the connectivity type on theinterface, the smartphone is used as gateway while Arduino Yun serves as the gateway when RF is the connectivity option on the interface. The training module is accompanied with an instruction manual which contains instructions on the set ups and short notes on signals andsystems, Analog to Digital Converters (ADC), Digital to Analog Converters (DAC), Wireless Sensor Networks (WSN), etc. The training module was tested with 100 randomly selected students. A few students had problems setting up the interface correctly. Coding the Arduino boards was a challenge for some of the students while a few others had challenges with creating sensor nodes. Choosing the correct connectivity type to match a gateway was the most challenging for the students.

scholarly journals Customizable Vector Acceleration in Extreme-Edge Computing: A RISC-V Software/Hardware Architecture Study on VGG-16 Implementation

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 518
Author(s):  
Stefano Sordillo ◽  
Abdallah Cheikh ◽  
Antonio Mastrandrea ◽  
Francesco Menichelli ◽  
Mauro Olivieri
Keyword(s):  
Power Efficiency ◽  
High Performance ◽  
Hardware Acceleration ◽  
The Internet ◽  
Classification Algorithms ◽  
Comprehensive Investigation ◽  
Convolutional Networks ◽  
Performance Requirements ◽  
Extreme Edge ◽  
The Internet Of Things

Computing in the cloud-edge continuum, as opposed to cloud computing, relies on high performance processing on the extreme edge of the Internet of Things (IoT) hierarchy. Hardware acceleration is a mandatory solution to achieve the performance requirements, yet it can be tightly tied to particular computation kernels, even within the same application. Vector-oriented hardware acceleration has gained renewed interest to support artificial intelligence (AI) applications like convolutional networks or classification algorithms. We present a comprehensive investigation of the performance and power efficiency achievable by configurable vector acceleration subsystems, obtaining evidence of both the high potential of the proposed microarchitecture and the advantage of hardware customization in total transparency to the software program.

Trust in Management Information Systems (MIS)

2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel
Keyword(s):  
Information Systems ◽  
Information Overload ◽  
Management Information Systems ◽  
Empirical Work ◽  
Future Research ◽  
Management Information ◽  
Trust In Management ◽  
Actual Use ◽  
Trust In Technology ◽  
The Internet Of Things

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

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