Publications
89 results found
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, Internet of Things Technologies and Applications for a New Age of Intelligence Preface, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: XXI-XXV
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, ETSI M2M, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 321-328
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, SMART GRID, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 257-268
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- Citations: 4
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, INDUSTRIAL AUTOMATION, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 249-256
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- Citations: 1
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, SECURITY, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 127-142
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- Citations: 1
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, AN ARCHITECTURE PERSPECTIVE, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 49-63
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, COMMERCIAL BUILDING AUTOMATION, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 269-277
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, IOT - A BUSINESS PERSPECTIVE, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 31-47
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, PARTICIPATORY SENSING, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 289-297
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- Citations: 1
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, ASSET MANAGEMENT, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 243-248
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, SMART CITIES, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 279-287
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, TECHNOLOGY FUNDAMENTALS, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 67-126
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, DESIGNING THE INTERNET OF THINGS FOR THE REAL WORLD, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 235-240
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, ARCHITECTURE AND STATE-OF-THE-ART, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 143-180
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, CONCLUSIONS AND LOOKING AHEAD, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 317-320
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, LOGISTICS, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 307-316
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- Citations: 1
Aloufi R, Haddadi H, Boyle D, 2019, Poster Abstract: Privacy Preserving Speech Analysis using Emotion Filtering at the Edge, 17th ACM Conference on Embedded Networked Sensor Systems (SenSys), Publisher: ASSOC COMPUTING MACHINERY, Pages: 426-427
Boyle DE, Wright SW, Kiziroglou ME, et al., 2019, Inductive Power Delivery with Acoustic Distribution to Wireless Sensors, IEEE MTT-S Wireless Power Transfer Conference (WPTC) / IEEE PELS Workshop on Emerging Technologies - Wireless Power (WoW) / Wireless Power Week Conference, Publisher: IEEE, Pages: 202-204
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- Citations: 2
Qin Y, Boyle D, Yeatman E, 2019, Radio Diversity for Heterogeneous Communication with Wireless Sensors, 5th IEEE World Forum on Internet of Things (IEEE WF-IoT), Publisher: IEEE, Pages: 955-960
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- Citations: 4
Tsiatsis V, Karnouskos S, Holler J, et al., 2019, AUTONOMOUS VEHICLES AND SYSTEMS OF CYBER-PHYSICAL SYSTEMS, INTERNET OF THINGS: TECHNOLOGIES AND APPLICATIONS FOR A NEW AGE OF INTELLIGENCE, 2ND EDITION, Publisher: ELSEVIER ACADEMIC PRESS INC, Pages: 299-305
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- Citations: 6
Bhatia L, Boyle D, McCann J, 2018, Aerial interactions with wireless sensors, The 16th ACM Conference on Embedded Networked Sensor Systems (SenSys 2018), Pages: 373-374
Sensing systems incorporating unmanned aerial vehicles have the potential to enable a host of hitherto impractical monitoring applications using wireless sensors in remote and extreme environments. Their use as data collection and power delivery agents can overcome challenges such as poor communications reliability in difficult RF environments and maintenance in areas dangerous for human operatives. Aerial interaction with wireless sensors presents some interesting new challenges, including selecting or designing appropriate communications protocols that must account for unique practicalities like the effects of velocity and altitude. This poster presents a practical evaluation of the effects of altitude when collecting sensor data using an unmanned aerial vehicle. We show that for an otherwise disconnected link over a long distance (70m), by increasing altitude (5m) the link is created and its signal strength continues to improve over tens of metres. This has interesting implications for protocol design and optimal aerial route planning.
Kiziroglou M, Cowell M, Kumaravel BT, et al., 2018, Speed vs efficiency and storage type in portable energy systems, PowerMEMS 2017, Publisher: Institute of Physics (IoP), ISSN: 1742-6588
Portable power management systems must optimise power interfacing, storage androuting, to meet application specific functionality requirements. Two key aspects are reliabilityand efficiency. For reliable operation, it is required that powering on/off the system must occurin a planned manner. For efficient operation, it is desired that the system is powered for anoptimal amount of time. maximizing its useful operational outcome per unit of energy consumed.This can be achieved by optimizing energy usage based on the anticipated energy income andpower demand of duty-cycled power consumers. Both battery and supercapacitor storage can beemployed to meet energy and power density demand, on both sides, and to enable fast transitionfrom cold-starting to active power management. A simplified model is used to calculate thereliability of a simple solar-powered microsystem. The modelling of dynamically configurableinterfacing and storage may enable a new generation of power management, providing reliablepower from irregular and small energy sources.
Mitcheson PD, Kkelis G, Aldhaher S, et al., 2018, Power Electronics for Wireless Power Delivery in Synthetic Sensor Networks, 17th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS), Publisher: IOP PUBLISHING LTD, ISSN: 1742-6588
Tsiatsis V, Höller J, Mulligan C, et al., 2018, Internet of things: Technologies and applications for a new age of intelligence, ISBN: 9780128144350
Internet of Things: Technologies and Applications for a New Age of Intelligence outlines the background and overall vision for the Internet of Things (IoT) and Cyber-Physical Systems (CPS), as well as associated emerging technologies. Key technologies are described including device communication and interactions, connectivity of devices to cloud-based infrastructures, distributed and edge computing, data collection, and methods to derive information and knowledge from connected devices and systems using artificial intelligence and machine learning. Also included are system architectures and ways to integrate these with enterprise architectures, and considerations on potential business impacts and regulatory requirements. New to this edition: • Updated material on current market situation and outlook. • A description of the latest developments of standards, alliances, and consortia. More specifically the creation of the Industrial Internet Consortium (IIC) and its architecture and reference documents, the creation of the Reference Architectural Model for Industrie 4.0 (RAMI 4.0), the exponential growth of the number of working groups in the Internet Engineering Task Force (IETF), the transformation of the Open Mobile Alliance (OMA) to OMA SpecWorks and the introduction of OMA LightweightM2M device management and service enablement protocol, the initial steps in the specification of the architecture of Web of Things (WoT) by World Wide Consortium (W3C), the GS1 architecture and standards, the transformation of ETSI-M2M to oneM2M, and a few key facts about the Open Connectivity Forum (OCF), IEEE, IEC/ISO, AIOTI, and NIST CPS. • The emergence of new technologies such as distributed ledgers, distributed cloud and edge computing, and the use of machine learning and artificial intelligence for IoT. • A chapter on security, outlining the basic principles for secure IoT installations. • New use case description material on Logistics, Autonomous Vehic
Qin Y, Boyle D, Yeatman E, 2018, A Novel Protocol for Data Links between Wireless Sensors and UAV Based Sink Nodes, 4th IEEE World Forum on Internet of Things (WF-IoT), Publisher: IEEE, Pages: 371-376
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- Citations: 8
Mitcheson PD, Boyle D, Kkelis G, et al., 2017, Energy-Autonomous Sensing Systems Using Drones, 16th IEEE SENSORS CONFERENCE, Publisher: IEEE, Pages: 648-650, ISSN: 1930-0395
Mitcheson PD, Boyle D, Kkelis G, et al., 2017, Energy-autonomous sensing systems using drones, 2017 IEEE SENSORS, Publisher: IEEE
Magno M, Boyle D, 2017, Wearable Energy Harvesting: From Body to Battery, 12th IEEE International Conference on Design & Technology of Integrated Systems In Nanoscale Era (DTIS), Publisher: IEEE
Kiziroglou M, Boyle D, Wright S, et al., 2017, Acoustic power delivery to pipeline monitoring wireless sensors, Ultrasonics, Vol: 77, Pages: 54-60, ISSN: 1874-9968
The use of energy harvesting for powering wireless sensors is made more challenging in most applications by the requirement for customization to each specific application environment because of specificities of the available energy form, such as precise location, direction and motion frequency, as well as the temporal variation and unpredictability of the energy source. Wireless power transfer from dedicated sources can overcome these difficulties, and in this work, the use of targeted ultrasonic power transfer as a possible method for remote powering of sensor nodes is investigated. A powering system for pipeline monitoring sensors is described and studied experimentally, with a pair of identical, non6inertial piezoelectric transducers used at the transmitter and receiver. Power transmission of 18 mW (Root6Mean6Square) through 1 m of a 118 mm diameter cast iron pipe, with 8 mm wall thickness is demonstrated. By analysis of the delay between transmission and reception, including reflections from the pipeline edges, a transmission speed of 1000 m/s is observed, corresponding to the phase velocity of the L(0,1) axial and F(1,1) radial modes of the pipe structure. A reduction of power delivery with water6filling is observed, yet over 4 mW of delivered power through a fully6filled pipe is demonstrated. The transmitted power and voltage levels exceed the requirements for efficient power management, including rectification at cold6starting conditions, and for the operation of low6power sensor nodes. The proposed powering technique may allow the implementation of energy autonomous wireless sensor systems for monitoring industrial and network pipeline infrastructure.
Kiziroglou M, boyle D, Yeatman E, et al., 2016, Opportunities for sensing systems in mining, IEEE Transactions on Industrial Informatics, Vol: 13, Pages: 278-286, ISSN: 1551-3203
Pervasive sensing - the capability to deploy large numbers of sensors, to link them to communication networks, and to analyze their collective data - is transforming many industries. In mining, networked sensors are already used for remote operation, automation including driverless vehicles, health and safety, and exploration. In this paper, the state-of-the-art sensing and monitoring technologies are assessed as solutions against the main challenges and opportunities in the mining industry. Localization, mapping, remote operation, maintenance and health and safety are identified as the main beneficiaries, from rapidly developing technologies such as 3D visualization, augmented reality, energy autonomous sensor nodes, distributed sensing, smart network protocols and big data analytics. It is shown that the identification and management of ore grade in particular, which transcends each stage of the mining process, may critically benefit from certain arising sensing technologies, where major efficiency improvements are possible in exploration, extraction, haulage and processing activities.
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