1,242 research outputs found

    Incorporating Resilience to Platforms based on Edge and Fog Computing

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    In recent years, Internet of Things (IoT) has become extremely popular because of its ability of sensing information from the environment and processing it in the cloud. Edge and Fog Computing are new paradigms that aim to localize some of the processing near the sensors, helping to cope with high communications latencies and bandwidth bottlenecks. As Wireless Sensor Networks (WSN) and Fog nodes are prone to failure, affecting system reliability and performance, the implementation of resilience strategies becomes essential to ensure reliable delivery of data and system availability during interruptions or in the presence of faults. In this article, we present three lines of research in progress: Redundant Image Processing, Integration of a WSN with an IoT Platform for Intelligent Control and Resilient Monitorization and Control of Robots. We aim to incorporate resilience mechanisms to platforms that integrate Edge, Fog and Cloud Computing, and to evaluate the proposed solutions in terms of the coverage achieved, processing and communication times and power consumption.Instituto de Investigación en Informátic

    Internet of things

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    Manual of Digital Earth / Editors: Huadong Guo, Michael F. Goodchild, Alessandro Annoni .- Springer, 2020 .- ISBN: 978-981-32-9915-3Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space (remote sensing) and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking location as a key element. The current era of connectivity envisions that everything is connected to everything. The concept of the Internet of Things(IoT)emergedasaholisticproposaltoenableanecosystemofvaried,heterogeneous networked objects and devices to speak to and interact with each other. To make the IoT ecosystem a reality, it is necessary to understand the electronic components, communication protocols, real-time analysis techniques, and the location of the objects and devices. The IoT ecosystem and the Digital Earth (DE) jointly form interrelated infrastructures for addressing today’s pressing issues and complex challenges. In this chapter, we explore the synergies and frictions in establishing an efficient and permanent collaboration between the two infrastructures, in order to adequately address multidisciplinary and increasingly complex real-world problems. Although there are still some pending issues, the identified synergies generate optimism for a true collaboration between the Internet of Things and the Digital Earth

    Portable Fog Gateways for Resilient Sensors Data Aggregation in Internet-less Environment

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    Fog computing is gaining attention due to the potential of aggregating and processing time-sensitive data at the nearby intelligent gateways. It reduces the latency of sensors data aggregation and response time therefore, improve real-time action which is beneficial in environmental monitoring and early warning systems. However, deploying edge computing in Internet-less environment seems unpractical and the mobility of gateways is less focused in current literature. In this paper, we present a practical design of a portable gateways scheme for sensors data aggregation and processing in Internet-less environment. The proposed gateways can locate their geographical locations which can be automatically converted into location names at the central gateway. The proposed portable Fog Gateways are developed by using open-source hardware and integrated with Cloud database for data storage. Data processing techniques such as data parsing and Reverse Geocoding are conducted for reliable data transmission by using GSM/GPRS technology and geographical location name detection respectively. Finally, a case study has been conducted to evaluate the feasibility of our proposed Fog Gateways scheme in real-time application
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