COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange

Abstract

The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks. Consequently, all of today’s devices can connect to the internet and can provide valuable information for decision making. However, the data collected by different devices are in different formats, which makes it necessary to develop a solution that integrates comprehensive semantic tools to represent, integrate and acquire knowledge, which is a major challenge for IoT environments. The proposed solution addresses this challenge by using IoT semantic data to reason about actionable knowledge, combining next-generation semantic technologies and artificial intelligence through a set of cognitive components that enables easy interoperability and integration for both legacy systems and emerging technologies, such as IoT, to generate business value in terms of faster analytics and improved decision making. Thus, combining IoT environments with cognitive artificial intelligence services, COSIBAS builds an abstraction layer between existing platforms for IoT and AI technologies to enable cognitive solutions and increase interoperability across multiple domains. The resulting low-cost cross platform supports scalability and the evolution of large-scale heterogeneous systems and allows the modernization of legacy infrastructures with cognitive tools and communication mechanisms while reusing assets.

Robust Intelligent Monitoring and Measurement System toward Downhole Dynamic Liquid Level

“…To meet the requirements of end-to-end low latency, high availability and scalability and the capability to process massive amounts of data, it is necessary to design intelligent terminal software systems at the edge. At the edge, short-range communications (ranging from 1 m to 50 m) are achieved through LoRa or Bluetooth, followed by the aggregation function to the oilfield data center, completed through 4G/5G transmission systems [ 26 , 27 , 28 , 29 , 30 , 31 ]. As shown in Figure 6 , this monitoring and measurement system is composed of acquisition devices, network transmission, cloud services, and software systems.…”

Emerging Technologies in Edge Computing and Networking

“…The global evolution of the Internet is experiencing a notable and inevitable change towards a convergent scenario known as the Internet of Things (IoT), where a large number of devices with heterogeneous characteristics and requirements have to be interconnected to serve different verticals, such as smart cities, intelligent transportation systems, smart grids, (ITS) or e-health [ 1 , 2 , 3 , 4 , 5 , 6 ]. In order to satisfy the strict requirements related to end-to-end latency and the scalability of new services, as well as the processing of the massive volume of data that they generate, it is necessary to design and deploy a decentralized service platform architecture based on MEC (multi-access edge computing) and/or fog computing, with the aim of reducing the distance between the source of data and the processing resources.…”