Applying Security to a Big Stream Cloud Architecture for the Internet of Things

Belli, Laura; Cirani, Simone; Davoli, Luca; Ferrari, Gianluigi; Melegari, Lorenzo; Picone, Marco

doi:10.4018/ijdst.2016010103

Cited by 17 publications

(5 citation statements)

References 31 publications

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“…The integration of IoT and 5G is also expected to provide significant benefits in industrial scenarios [26,27], as IIoT needs to abide by strict communication requirements (e.g., high reliability, low latency, flexibility [28], and security [29,30]) which are fulfilled by 5G technology [13,31].…”

Section: Related Work and Motivationsmentioning

confidence: 99%

Ultrasonic-Based Environmental Perception for Mobile 5G-Oriented XR Applications

Davoli

Paraskevopoulos

Campanella

et al. 2021

Sensors

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One of the sectors that is expected to significantly benefit from 5G network deployment is eXtended Reality (XR). Besides the very high bandwidth, reliability, and Quality of Service (QoS) to be delivered to end users, XR also requires accurate environmental perception for safety reasons: this is fundamental when a user, wearing XR equipment, is immersed in a “virtual” world, but moves in a “real” environment. To overcome this limitation (especially when using low-cost XR equipments, such as cardboards worn by the end user), it is possible to exploit the potentialities offered by Internet of Things (IoT) nodes with sensing/actuating capabilities. In this paper, we rely on ultrasonic sensor-based IoT systems to perceive the surrounding environment and to provide “side information” to XR systems, then performing a preliminary experimental characterization campaign with different ultrasonic IoT system configurations worn by the end user. The combination of the information flows associated with XR and IoT components is enabled by 5G technology. An illustrative experimental scenario, relative to a “Tourism 4.0” IoT-aided VR application deployed by Vodafone in Milan, Italy, is presented.

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Section: Related Work and Motivationsmentioning

confidence: 99%

Ultrasonic-Based Environmental Perception for Mobile 5G-Oriented XR Applications

Davoli

Paraskevopoulos

Campanella

et al. 2021

Sensors

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“…Another important technology is the wireless sensor networks (WSNs), which mainly use interconnected intelligent sensors to sense and monitoring in the industrial environment. Moreover, many other heterogeneous technologies and devices have been included, spanning from barcodes and smartphones, till social networks, and Cloud Computing, as introduced by Belli et al (2015Belli et al ( , 2016. Instead, Shrouf et al (2014) focus their work on the sustainability perspective, proposing an approach for energy management in smart factories based on IoT technologies, following different steps.…”

Section: Next Steps: Introducing Iotmentioning

confidence: 99%

Toward Industry 4.0 With IoT: Optimizing Business Processes in an Evolving Manufacturing Factory

et al. 2019

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Research advances in the last decades have allowed the introduction of Internet of Things (IoT) concepts in several industrial application scenarios, leading to the so-called Industry 4.0 or Industrial IoT (IIoT). The Industry 4.0 has the ambition to revolutionize industry management and business processes, enhancing the productivity of manufacturing technologies through field data collection and analysis, thus creating real-time digital twins of industrial scenarios. Moreover, it is vital for companies to be as "smart" as possible and to adapt to the varying nature of the digital supply chains. This is possible by leveraging IoT in Industry 4.0 scenarios. In this paper, we describe the renovation process, guided by things2i s.r.l., a cross-disciplinary engineering-economic spin-off company of the University of Parma, which a real manufacturing industry is undergoing over consecutive phases spanning a few years. The first phase concerns the digitalization of the control quality process, specifically related to the company's production lines. The use of paper sheets containing different quality checks has been made smarter through the introduction of a digital, smart, and Web-based application, which is currently supporting operators and quality inspectors working on the supply chain through the use of smart devices. The second phase of the IIoT evolution-currently ongoing concerns both digitalization and optimization of the production planning activity, through an innovative Web-based planning tool. The changes introduced have led to significant advantages and improvement for the manufacturing company, in terms of: (i) impressive cost reduction; (ii) better products quality control; (iii) real-time detection and reaction to supply chain issues; (iv) significant reduction of the time spent in planning activity; and (v) resources employment optimization, thanks to the minimization of unproductive setup times on production lines. These two renovation phases represent a basis for possible future developments, such us the integration of sensor-based data on the operational status of production machines and the currently available warehouse supplies. In conclusion, the Industry 4.0-based ongoing digitization process guided by things2i allows to continuously collect heterogeneous Human-to-Things (H2T) data, which can be used to optimize the partner manufacturing company as a whole entity.

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“…With the exponential growth in the technology of micro-electromechanical system (MEMS), wireless networking and wireless sensor networks (WSN) are consequently improving (Katiyar, Chand, & Soni, 2011). WSN is the base of Internet of Things (IoTs), (Belli et al, 2016) (Sun, Liu, Ma, Liu, & Sun, 2016). The later developments in low-control wireless technology (Liu et al, 2013) motivated us to consider WSN in our work.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Range-Free and Range-Based Localization Protocols for Wireless Sensor Network

Shahra

Sheltami

Shakshuki

2017

International Journal of Distributed Systems and Technologies

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Wireless Sensor Network is deployed in many fields including military operations, mechanical applications, human services, smart homes, etc. However, deploying WSN encounters many challenges. One of the challenges is localizing the node position, especially mobile targets in critical situations. In this paper, the authors compare two types from range-free localization algorithms and one type from range-based algorithms, namely: Received Signal Strength (RSS), Centroid, and Distance Vector Hop (DV-Hops) protocols, using Cooja simulator. RSS localization algorithms require determining values of the RSS from the anchor nodes around the mobile node, to calculate the distance between the unknown mobile and the first three anchor nodes in the mobile range. The centroid localization requires only three anchors to compute the location of the mobile sensor without the need for distance measuring. Lastly, the DV-Hop algorithm uses routing tables of each anchor in the network topology to compute the Average Distance of Hops. The results show that rang-based algorithms are more accurate than range-free.

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Applying Security to a Big Stream Cloud Architecture for the Internet of Things

Cited by 17 publications

References 31 publications

Ultrasonic-Based Environmental Perception for Mobile 5G-Oriented XR Applications

Ultrasonic-Based Environmental Perception for Mobile 5G-Oriented XR Applications

Toward Industry 4.0 With IoT: Optimizing Business Processes in an Evolving Manufacturing Factory

A Comparative Study of Range-Free and Range-Based Localization Protocols for Wireless Sensor Network

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