Framework for Searching in the Web of Things

Total Page:16

File Type:pdf, Size:1020Kb

Framework for Searching in the Web of Things ICNS 2015 : The Eleventh International Conference on Networking and Services An Integrated Testbed Environment for the Web of Things Mina Younan Sherif Khattab, Reem Bahgat Computer Science Department Computer Science Department FCI - Minia University FCI - Cairo University Minia, Egypt Cairo, Egypt E-mail: [email protected] E-mails: {s.khattab, r.bahgat}@fci-cu.edu.eg Abstract – This paper proposes a testbed architecture for the The Web of Things (WoT) virtualizes the IoT and Web of Things (WoT) using simple components. Sensor focuses on the application layer needed for building useful networks have become one of the most researched topics applications over the IoT. Services, such as searching for currently, due to proliferation of devices equipped with sensors SThs and Entities of Interest (EoIs) in the WoT, in addition and actuators for monitoring and controlling their to Web-based applications for controlling and monitoring surrounding environment (e.g., places and devices). Although services in smart spaces using friendly user interfaces are simulators, like Cooja, and Web sites, like Thingspeak, give the core power features in the WoT. However, there is no ability to build simple Internet of Things (IoT) and WoT general method for testing and benchmarking research in applications, they are not compatible with many testing purposes in WoT. Getting real datasets that cover the main IoT and WoT [4][5][6][7]. features of WoT is one of the most important factors in WoT Muhammad et al. [6] summarize differences between testing and research. The proposed testbed environment allows concepts of emulators, simulators, and physical testbeds. for generating datasets and using them offline and online. It They concluded that physical testbeds provide more integrates small equipment elements (sensors and actuators) accurate results. MoteLab [4] is a testbed for Wireless that convert things into Smart Things (SThs). Moreover, it Sensor Networks (WSNs). It addresses challenges related to augments IoT by SThs virtualization through Web sensors‟ deployment and the time consumed for building a applications. The main components and detailed design of the WSN. It features a Web application to be accessed remotely. testbed are described. Then, a case study of searching for SThs and Entities of Interest (EoIs) is explained using a real dataset The need for WSN testbeds is highlighted by challenges and generated from the proposed testbed. The proposed testbed research topics, which shed light on a specific set of features architecture incorporates the sense of smart environments and, to be embedded within the testbed and its tools [6] [7]. For hence, is expected to enhance testing results in WoT. instance, not only datasets about sensor readings are needed but integrating the readings with information about the Keywords – Internet of Things (IoT); Web of Things (WoT); underlying infrastructure (i.e., the IoT layer) is needed as searching in WoT; Smart Things; Test Environment. well; this integration is the goal of the testbed proposed in this paper. I. INTRODUCTION This paper proposes a testbed architecture for WoT. It The number of devices and things connected to the addresses the general needs of WoT testing and focuses on Internet will be increasing and is expected to reach the order the Web search problem and its related issues, such as of billions by 2020 [1][2], as soon as the Internet Protocol crawling (i.e., preparing WoT pages for crawling). The (IP) becomes the core standard in the fields of embedded problem of how to find SThs and EoIs that have dynamic devices. As a result, the number of Internet users will be less state that change according to environment events [8][9] has than the number of devices connected to it. The Internet of sheer importance in drawing conclusions, deductions, and Things (IoT) focuses on the infrastructure layer needed for analysis in various fields. The proposed testbed can be used connecting things and devices to the Internet. IoT addresses as a WoT application, which monitors real devices in real- the connectivity challenge by using IP and IPv6 for time and can be used as a WoT simulator to do the same embedded devices (i.e., 6LoWPAN) [3]. Sensor networks process on WoT datasets instead of devices. It aims at have become one of the most researched topics currently [2] collecting datasets that contain information about things [4]. This is due to the proliferation of devices equipped with (i.e., properties and readings) formatted using multiple sensors and actuators that provide information about and markup languages. The collected datasets are designed to control of their surrounding environments. Sensors allow help in testing in many problem domains [8] [10]. the state of things (e.g., places, devices, etc.,) that sensors The remainder of the paper is organized as follows. The represent to be inferred. In a sense, sensors and actuators next section defines dataset requirements. In Section 3, the convert things to Smart Things (SThs) and things‟ related work of creating searchable IoT and WoT domains environments to smart spaces. using IoT and WoT simulators and datasets is discussed. Section 4 describes the proposed system architecture. In Copyright (c) IARIA, 2015. ISBN: 978-1-61208-404-6 69 ICNS 2015 : The Eleventh International Conference on Networking and Services Section 5, the implementation of the proposed system is these files will be described later. For accessing these files, described followed by a case study. Finally, conclusions and headers of tables (sensor definitions) should follow a certain important ideas for future work are presented in Section 6. structure for creation and accessing (e.g., sensor name and virtual and physical location). II. DATASET REQUIREMENTS Things, SThs, resources, and EoIs are main concepts in III. RELATED WORK IoT and WoT. They have differences in meaning but the In the light of the previous requirements, this section main goal is that they are used for integrating the physical discusses the usage of sensor datasets in the literature. To world into the virtual world [11]. In WoT, what needs to be summarize our observations, if the research is only retrieved (i.e., searched for) includes SThs (e.g., TV sets), interested in values measured by sensors or in states of EoIs EoIs (e.g., buildings), IP addresses, current values [8], and (e.g., being online or offline), then the used dataset is based general information like device‟s web banners [9]. on the WoT level, whereas if the research is interested in the Generally, searching is done on SThs and EoIs that have sensor network infrastructure, then the used dataset is based dynamic locality [8][12][13] caused and fired by other on the IoT level. An integrated dataset contains information events or objects in the network. For testing and evaluating about both sensor readings and network infrastructure, that the search process in IoT and WoT, simulators should is, it is based on both IoT and WoT levels. reflect as many IoT and WoT challenges to achieve accurate A. IoT Simulations results. To achieve this, datasets are used and replayed by applications that act as emulators of WoT. There is no general way for simulating IoT [5][6][16]. In general, the main challenges that face testing of Moreover, there are situations in which simulators and real smart spaces, IoT, and WoT are: (1) the huge number of datasets containing raw information (e.g., sensor readings sensors and SThs, which makes communication services, [17]) or information about the IoT layer are not enough for monitoring, and analysis of sensor information require non- modeling an environment under testing, as the datasets miss trivial amounts of CPU time and storage, (2) the dynamic the sense of one or more of the challenges mentioned earlier state of SThs, which means that sensor readings and and thus, miss the main factors for accurate WoT information about SThs properties and devices to which evaluation. Also, many datasets are not actually related to they are attached are in continuous change, and (3) the non- the problem under investigation, but were generated for standardized naming of SThs properties (e.g., name, testing and evaluating different algorithms or methods in services, and location) and formats (e.g., microformats and other researches. For instance, an evaluation of WSNs‟ microdata) that are used in WoT applications, which makes simulators according to a different set of criteria, such as retrieval of information about objects and their attached Graphical User Interface (GUI) support, simulator platform, sensors difficult. and available models and protocols, concludes that there is To identify dataset requirements for testing the Web no general way for simulating WSNs, and hence IoT and search process in WoT, WoT data are classified according WoT [5][16]. None of these criteria address the previous to type, static or dynamic. The first type is static challenges. So, it is desirable to embed the unique IoT and information (IoT level), which includes (1) information WoT challenges within datasets and to make simulators about sensors (e.g., information about sensor properties like support as much of these challenges. ID, name, brand, image, description, authoritative URL, WSN Simulators. Several studies [5][6][16] manufacturer, and list of services that it offers) and (2) summarize the differences between existing simulators information about entities (e.g., device, thing, and place) according to a set of criteria. The Cooja simulator is one of including entity properties, such as logical paths, list of the most valuable tools [5][16] in WSNs that aids hosted devices, and possible states by which the entity is researchers to simulate WSNs relatively easily using a described. The second WoT data type is dynamic supported GUI. Cooja allows to add different types of information (WoT level), which includes (1) sensor sensors (motes) and to attach them to binaries or source readings or state, (2) current entity state, which changes codes that have been previously developed.
Recommended publications
  • IOT Platforms: a Brief Study Chaitra Acharya M.Tech Student, National Institute of Engineering, Mysuru, India
    International Journal of Advanced Research in ISSN : 2347 - 8446 (Online) Computer Science & Technology (IJARCST 2016) Vol. 4, Issue 2 (Apr. - Jun. 2016) ISSN : 2347 - 9817 (Print) IOT Platforms: A Brief Study Chaitra Acharya M.Tech Student, National Institute of Engineering, Mysuru, India Abstract Internet is one of the most important and powerful creations in all of human history. The internet is basically an informal term for the world-wide communication network of computers more specifically called the network of networks. Internet not only links computers but also people through them. It was primarily designed to share information between networks. In today’s world people use internet for a variety of reasons: from browsing for information to chatting and even online services like shopping, banking, video conferencing and so forth. As the years progress, the services provided by the Internet grows endless. The “Internet of Things” refers to the concept that the Internet is no longer just a global network for people to communicate with one another using computers, but it is also a platform for devices to communicate electronically with the world around them. IoT represents the next evolution of the Internet, taking a huge leap in its ability to gather, analyse, and distribute data that we can turn into information, knowledge, and, ultimately, wisdom. There are a variety of IoT platforms like Thingspeak, Grovestreams, Thingworx, Xively and so on which provide IoT services to the users for a price. Keywords Internet of Things, IoT Architecture, Web of Things, Thingspeak, Grovestreams, Thingworx. I. Introduction we will discuss options for realizing each component.
    [Show full text]
  • System Performance of Wireless Sensor Network Using Lora…
    Computers, Materials & Continua Tech Science Press DOI:10.32604/cmc.2021.016922 Article System Performance of Wireless Sensor Network Using LoRa–Zigbee Hybrid Communication Van-Truong Truong1, Anand Nayyar2,* and Showkat Ahmad Lone3 1Faculty of Electrical and Electronic Engineering, Duy Tan University, Da Nang, 550000, Vietnam; Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam 2Graduate School, Duy Tan University, Da Nang 550000, Vietnam; Faculty of Information Technology, Duy Tan University, Da Nang, Vietnam 3Department of Basic Science, College of Science and Theoretical Studies, Saudi Electronic University, Jeddah Campus, KSA *Corresponding Author: Anand Nayyar. Email: [email protected] Received: 15 January 2021; Accepted: 17 February 2021 Abstract: Wireless sensor network (WSN) is considered as the fastest growing technology pattern in recent years because of its applicability in var- ied domains. Many sensor nodes with different sensing functionalities are deployed in the monitoring area to collect suitable data and transmit it to the gateway. Ensuring communications in heterogeneous WSNs, is a critical issue that needs to be studied. In this research paper, we study the system performance of a heterogeneous WSN using LoRa–Zigbee hybrid communi- cation. Specifically, two Zigbee sensor clusters and two LoRa sensor clusters are used and combined with two Zigbee-to-LoRa converters to communicate in a network managed by a LoRa gateway. The overall system integrates many different sensors in terms of types, communication protocols, and accuracy, which can be used in many applications in realistic environments such as on land, under water, or in the air. In addition to this, a synchronous man- agement software on ThingSpeak Web server and Blynk app is designed.
    [Show full text]
  • Thingspeak-Open Source Platform for Connected Products and Services
    Chungnam National University Computer Science and Engineering Database System Laboratory ThingSpeak-Open Source Platform for Connected Products and Services 2012년 8월 29일 임형준([email protected]) 충남대학교 컴퓨터공학과 데이터베이스시스템연구실 TOC ioBridge, Inc. ThingSpeak ■ Goal ■ Features ■ Apps ■ Plugins ■ Devices Conclusion References Chungnam National University 2 Computer Science and Engineering Database System Laboratory ioBridge, Inc. ioBridge, Inc. offers technology and services that enable almost anything to be Web-enabled and monitored and controlled over the Internet ■ http://www.iobridge.com ioBridge's technology includes a Web services platform that customers can use to extend the technology of many applications ioBridge provides OEM and commercial integration services and licensing of core, patent-pending technologies Chungnam National University 3 Computer Science and Engineering Database System Laboratory ioBridge, Inc. Labs[1/4] - CheerLights Imagine millions of lights connected together ■ http://www.cheerlights.com/ CheerLights is a project that enables people all around the world to link lights and applications together based on social networking trends To control CheerLights, send a tweet to @cheerlights or include “cheerlights” somewhere in your message with the name of a color ■ Example Tweet: @CheerLights Paint the town red Chungnam National University 4 Computer Science and Engineering Database System Laboratory ioBridge, Inc. Labs[2/4] ‒ Tide Alerts Tide Alerts is a project developed by ioBridge to monitor and report tide
    [Show full text]
  • Iot: the Next Evolution of Internet Refereed Journal Indexed Journal Impact Factor MJIF: 4.25 G
    World Wide Journal of Multidisciplinary Research and Development WWJMRD 2018; 4(7): 11-15 www.wwjmrd.com International Journal Peer Reviewed Journal IoT: The Next Evolution of Internet Refereed Journal Indexed Journal Impact Factor MJIF: 4.25 G. Umarani, K.Sharmila E-ISSN: 2454-6615 Abstract G. Umarani Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital Guest Lecturer, Dept of machines, objects, animals or people that are provided with unique identifiers and the ability to computer Science K.N.Govt Arts College for Women (A), transfer data over a network without requiring human to human or human to computer interaction. Thanjavur, TamilNadu,India The basic idea of IoT is to allow objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities for more direct integration between the physical world and K.Sharmila computer-based systems and resulting in improved efficiency, accuracy and economic benefit. This Guest Lecturer, Dept of article reports the various technologies of IoT, Applications and discuss the challenges shall be faced computer Science K.N.Govt by the research community. Arts College for Women (A), Thanjavur, TamilNadu, India Keywords: Internet of Things- IoT- Defy-RFID- Actuator-NFC I Introduction The Internet of Things is a network of physical objects or “things” embedded with electronics, software, sensors and network connectivity which enables to interact with each object to collect and exchange data. Internet of Things (IoT) is not a result of single novel technology; instead several complementary and technical developments provide capabilities that taken together help to bridge the gap between the virtual and physical world.
    [Show full text]
  • Secure Authentication Protocol for Internet of Things Achraf Fayad
    Secure authentication protocol for Internet of Things Achraf Fayad To cite this version: Achraf Fayad. Secure authentication protocol for Internet of Things. Networking and Internet Archi- tecture [cs.NI]. Institut Polytechnique de Paris, 2020. English. NNT : 2020IPPAT051. tel-03135607 HAL Id: tel-03135607 https://tel.archives-ouvertes.fr/tel-03135607 Submitted on 9 Feb 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Protocole d’authentification securis´ e´ pour les objets connectes´ These` de doctorat de l’Institut Polytechnique de Paris prepar´ ee´ a` Tel´ ecom´ Paris Ecole´ doctorale n◦626 Ecole´ doctorale de l’Institut Polytechnique de Paris (EDIPP) Specialit´ e´ de doctorat : Reseaux,´ informations et communications NNT : 2020IPPAT051 These` present´ ee´ et soutenue a` Palaiseau, le 14 decembre´ 2020, par ACHRAF FAYAD Composition du Jury : Ken CHEN Professeur, Universite´ Paris 13 Nord President´ Pascal LORENZ Professeur, Universite´ de Haute-Alsace (UHA) Rapporteur Ahmed MEHAOUA Professeur, Universite´ Paris Descartes Rapporteur Lyes KHOUKHI Professeur, Ecole´ Nationale Superieure´ d’Ingenieurs´ de Examinateur Caen-ENSICAEN Ahmad FADLALLAH Associate Professor, University of Sciences and Arts in Lebanon Examinateur (USAL) Rida KHATOUN Maˆıtre de conferences,´ Tel´ ecom´ Paris Directeur de these` Ahmed SERHROUCHNI Professeur, Tel´ ecom´ Paris Co-directeur de these` Badis HAMMI Associate Professor, Ecole´ pour l’informatique et les techniques Invite´ avancees´ (EPITA) 626 Acknowledgments First, I would like to thank my thesis supervisor Dr.
    [Show full text]
  • A Review of Smart Cities Based on the Internet of Things Concept
    energies Review A Review of Smart Cities Based on the Internet of Things Concept Saber Talari 1, Miadreza Shafie-khah 1,2,*, Pierluigi Siano 2, Vincenzo Loia 3, Aurelio Tommasetti 3 and João P. S. Catalão 1,4,5 1 C-MAST, University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilhã, Portugal; [email protected] (S.T.); [email protected] or [email protected] (J.P.S.C.) 2 Department of Industrial Engineering, University of Salerno, 84084 Fisciano (SA), Italy; [email protected] 3 Department of Management & Innovation Systems, University of Salerno, 84084 Fisciano (SA), Italy; [email protected] (V.L.); [email protected] (A.T.) 4 INESC TEC and Faculty of Engineering of the University of Porto, R. Dr. Roberto Frias, 4200-465 Porto, Portugal 5 INESC-ID, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais, 1, 1049-001 Lisbon, Portugal * Correspondence: [email protected]; Tel.: +351-275-242055 Academic Editor: Joseph H. M. Tah Received: 8 January 2017; Accepted: 20 March 2017; Published: 23 March 2017 Abstract: With the expansion of smart meters, like the Advanced Metering Infrastructure (AMI), and the Internet of Things (IoT), each smart city is equipped with various kinds of electronic devices. Therefore, equipment and technologies enable us to be smarter and make various aspects of smart cities more accessible and applicable. The goal of the current paper is to provide an inclusive review on the concept of the smart city besides their different applications, benefits, and advantages. In addition, most of the possible IoT technologies are introduced, and their capabilities to merge into and apply to the different parts of smart cities are discussed.
    [Show full text]
  • Internet of Things (Iot) Technologies for Smart Cities
    See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/319938161 Internet of Things (IoT) Technologies for Smart Cities Article · September 2017 DOI: 10.1049/iet-net.2017.0163 CITATIONS READS 19 9,671 5 authors, including: Badis Hammi Rida Khatoun Télécom ParisTech Télécom ParisTech 16 PUBLICATIONS 83 CITATIONS 62 PUBLICATIONS 331 CITATIONS SEE PROFILE SEE PROFILE Achraf Fayad Lyes Khoukhi Télécom ParisTech Université de Technologie de Troyes 4 PUBLICATIONS 19 CITATIONS 113 PUBLICATIONS 577 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: blockchain View project Cloud-SDN Architecture for Smart Grid Energy Management. View project All content following this page was uploaded by Badis Hammi on 25 April 2018. The user has requested enhancement of the downloaded file. IET Research Journals ISSN 1751-8644 Internet of Things (IoT) Technologies for doi: 0000000000 Smart Cities www.ietdl.org Badis HAMMI1 Rida KHATOUN1 Sherali ZEADALLY2 Achraf FAYAD1 Lyes KHOUKHI3 1 Telecom ParisTech, 46 Rue Barrault, 75013 Paris, France 2 University of Kentucky, Lexington, KY 40506-0224, USA 3 Troyes University of Technology, 12 rue Marie Curie, 10004 Troyes, France * E-mail: [email protected] Abstract: The large deployment of Internet of Things (IoT) is actually enabling Smart City projects and initiatives all over the world. Objects used in daily life are being equipped with electronic devices and protocol suites in order to make them interconnected and connected to the Internet. According to a recent Gartner study, 50 billion connected objects will be deployed in smart cities by 2020.
    [Show full text]
  • A Survey of Iot Cloud Platforms
    Available online at www.sciencedirect.com ScienceDirect Future Computing and Informatics Journal 1 (2016) 35e46 http://www.journals.elsevier.com/future-computing-and-informatics-journal/ A survey of IoT cloud platforms Partha Pratim Ray Department of Computer Applications, Sikkim University, 6th Mile, PO Tadong, Gangtok, Sikkim 737102, India Received 12 June 2016; accepted 23 February 2017 Available online 6 March 2017 Abstract Internet of Things (IoT) envisages overall merging of several “things” while utilizing internet as the backbone of the communication system to establish a smart interaction between people and surrounding objects. Cloud, being the crucial component of IoT, provides valuable appli- cation specific services in many application domains. A number of IoT cloud providers are currently emerging into the market to leverage suitable and specific IoT based services. In spite of huge possible involvement of these IoT clouds, no standard cum comparative analytical study has been found across the literature databases. This article surveys popular IoT cloud platforms in light of solving several service domains such as application development, device management, system management, heterogeneity management, data management, tools for analysis, deployment, monitoring, visualization, and research. A comparison is presented for overall dissemination of IoT clouds according to their applicability. Further, few challenges are also described that the researchers should take on in near future. Ultimately, the goal of this article is to provide detailed knowledge about the existing IoT cloud service providers and their pros and cons in concrete form. © 2016 Faculty of Computers and Information Technology, Future University in Egypt. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
    [Show full text]
  • Energy-Efficient Internet of Things Monitoring with Low-Capacity Devices
    Energy-efficient Internet of Things Monitoring with Low-Capacity Devices Rodrigo J. Carbajales, Marco Zennaro, Ermanno Pietrosemoli Felix Freitag T/ICT4D, Wireless Communications Laboratory Department of Computer Architecture International Centre for Theoretical Physics (ICTP) Universitat Politecnica` de Catalunya Trieste, Italy Barcelona, Spain frcarbaja, mzennaro, [email protected] [email protected] Abstract—The Internet of Things (IoT) allows users to gather been proposed in [10]. In their work data from community data from the physical environment. While sensors in public facilities was gathered and processed locally, resulting in spaces are already widely used, users are reluctant to deploy important traffic savings. A community context for cloud sensors for shared data at their homes. The deployment of IoT nodes at the users premises presents privacy issues regarding computing has been shown in [3]. In this work, the trust who can access to their data once it is sent to the Cloud which that exists within a community of users helped gather local the users cannot control. In this paper we present an energy- computing resources form participants on which distributed efficient and low cost solution for environmental monitoring at services were run. In [2], it was pointed out in that resources the users home. Our system is builds completely on open source from many distributed nodes located on user premises cloud components and is easy to reproduce. We leverage a community network to store and control the access to the monitored data. host local services while being energy-efficient. We tested our solution during several months on different low- In this paper, we propose and analyze a solution for capacity single board computers (SBC) and it showed to be energy-efficient and low cost solution environmental moni- stable.
    [Show full text]
  • A Changing Landscape: the Internet of Things (Iot)
    A Changing Landscape: the Internet of Things (IoT) Prof Sanjay Jha Deputy Director, Australian Center for Cyber Security, UNSW Director of Cyber Security and Privacy Laboratory, School of Computer Science and Engineering University Of New South Wales [email protected] http://www.cse.unsw.edu.au/~sanjay SecureCanberra@MilCIS 2014, Australia 13th Nov 2014 Internet of Things • Connected devices • Smoke alarms, light bulbs, power switches, motion sensors, door locks etc. 2 Outline • Introduction to IoT • History of IoT (and M2M) and Wireless Sensor Networks • Security Challenges in IoT • Sample Research Projects at UNSW History (IoT) • Early 90s or prior: SCADA systems, Telemetry applications • Late 90s- Products/services from mobile operators (Siemens) to connect devices via cellular network – Primarily automotive telematics • Mid- 2000s – Many tailored products for logistics, fleet management, car safety, healthcare, and smart metering of electricity consumption • Since 2010 – A large number of consortiums mushrooming up to bid for a large market share – ABI Projects US$198M by 2018 – Berg Insight US$187M by 2014…… History of Wireless Sensor Net • 1999: Kahn, Katz,Pister: Vision for Smart Dust • 2002 Sensys CFP: Wireless Sensor Network research as being composed of ”distributed systems of numerous smart sensors and actuators connecting computational capabilities to the physical world have the potential to revolutionise a wide array of application areas by providing an unprecedented density and fidelity of instrumentation”. Typical Application Roadmap to IoT • Supply Chain Applications – Routing, inventory, loss prevention. • Vertical Market Helpers – Healthcare, Transport, Energy, Agriculture, Security, Home Network. • Ubiquitous Position – Location of people and objects and possible tailored services • Teleoperations/Telepresence - Ability to interact/control with remote objects.
    [Show full text]
  • 39 Large-Scale Indexing, Discovery and Ranking for the Internet of Things (Iot)
    Page 1 of 67 Computing Surveys Large-Scale Indexing, Discovery and Ranking for the Internet of Things (IoT) YASMIN FATHY, Institution for Communication Systems (ICS), University of Surrey, United Kingdom PAYAM BARNAGHI, Institution for Communication Systems (ICS), University of Surrey, United Kingdom RAHIM TAFAZOLLI, Institution for Communication Systems (ICS), University of Surrey, United Kingdom Network-enabled sensing and actuation devices are key enablers to connect real-world objects to the cyber world. The Internet of Things (IoT) consists of the network-enabled devices and communication technologies that allow connectivity and integration of physical objects (Things) into the digital world (Internet). Enormous amounts of dynamic IoT data are collected from Internet-connected devices. IoT data is usually multi-variant streams that are heterogeneous, sporadic, multi-modal and spatio-temporal. IoT data can be disseminated with dierent granularities and have diverse structures, types and qualities. Dealing with the data deluge from heterogeneous IoT resources and services imposes new challenges on indexing, discovery and ranking mechanisms that will allow building applications that require on-line access and retrieval of ad-hoc IoT data. However, the existing IoT data indexing and discovery approaches are complex or centralised which hinders their scalability. The primary objective of this paper is to provide a holistic overview of the state-of-the-art on indexing, discovery and ranking of IoT data. The paper aims to pave the way for
    [Show full text]
  • D3.1 Report on Iot European Platforms
    D3.1 Report on IoT European Platforms Deliverable No. D3.1 WorkPackage WP3 WorkPackage ACTIVAGE Secure Interoperability No. Title Layer Version 1.0 Status final Date of issue March 2017 Filename ACTIVAGE_D3.1_Report on IoT European Platforms_V1.0.docx 0. Document 0.1 Authors Author Company e-mail Konstantinos Votis CERTH [email protected] Segouli Sofia CERTH [email protected] Dimitrios Tzovaras CERTH [email protected] Mohammad-Reza FH-IGD [email protected] (Saied) Tazari Giuseppe Fico UPM [email protected] Alejandro M. Medrano Gil UPM [email protected] Eugenio Gaeta UPM [email protected] Carlos Enrique Palau UPV [email protected] Salvador Sebastian Pantoja TVES [email protected] Byron Ortiz Sanchez TVES [email protected] Antonio J. Jara HOPU [email protected] Levent Gurgen CEA [email protected] Isabelle Chartier CEA [email protected] Stephane Bergeon CEA [email protected] Thomas Loubier CEA [email protected] Christophe Villemazet CEA [email protected] Martin Serrano NUI GALWAY [email protected] 0.2 Document History Date Version Editor Change Status February 0.0 K. Votis Initial ToC proposal draft 2017 March 0.1 C. Palau Contribution for FIWARE draft 2017 March 0.2 L. Gurgen Contribution for sensiNact draft 2017 March 0.3 G. Fico Contribution for universAAL draft 2017 March 0.4 B. Ortiz Contribution for Sofia2 draft 2017 March 0.5 M. Serrano Contribution for OpenIoT draft 2017 March 0.6 C. Palau Update for FIWARE draft 2017 March 0.7 A.
    [Show full text]