36 research outputs found

    OMA LWM2M in a holistic architecture for the Internet of Things

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    Wireless Sensor Networks (WSNs) allow applications to interact with the physical world using nodes in an Internet of Things (IoT). Application level protocols such as the Constrained Application Protocol (CoAP) and data models such as IPSO Smart Objects and the Open Mobile Alliance Lightweight Specification (OMA LWM2M) have the potential to provide greater application interoperability and to ease the difficulties imposed by the heterogeneous nature, limited development environments and interfaces of existing solutions. This paper describes an architecture using a tuple-space based library for the flow of data from sensors to applications with defined service abstractions. It also compares the OMA LWM2M Information Model and the DMTF Common Information Model. It presents a `C' implementation of the OMA LWM2M model on our tuple-space running on the Contiki3.0 OS and considers the effectiveness of our architecture and its integration with existing CoAP and OMA LWM2M implementations

    IoT-DDL—Device Description Language for the “T” in IoT

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    We argue that the success of the Internet of Things (IoT) vision will greatly depend on how its main ingredient—the “thing”—is architected and prepared to engage. The IoT’s fragmented and wide-varying nature introduces the need for additional effort to homogenize these things so they may blend together with the surrounding space to create opportunities for powerful and unprecedented IoT applications. We introduce the IoT Device Description Language (IoT-DDL), a machine- and human-readable descriptive language for things, seeking to achieve such integration and homogenization. IoT-DDL explicitly tools things to self-discover and securely share their own capabilities, entities, and services, including the various cloudbased accessories that may be attached to them. We also present the Atlas thing architecture—a lightweight architecture for things that fully exploits IoT-DDL and its specifications. Our architecture provides new OS layers, services, and capabilities we believe a thing must have in order to be prepared to engage in IoT scenarios and applications. The architecture and IoT-DDL enable things to generate their offered services and self-formulate APIs for such services, on the fly, at power-on or whenever a thing description changes. The architecture takes advantage of widely used device management, micro-services, security, and communication standards and protocols. We present details of IoT-DDL and corresponding parts of the thing architecture. We demonstrate some features of IoT-DDL and the architecture through proof-of-concept implementations. Finally, we present a benchmarking study to measure and assess time performance and energy consumption characteristics of our architecture and IoT-DDL on real hardware platforms

    Protocolo de comunicações sem-fios em malha para redes de iluminação pública

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    Mestrado em Engenharia Eletrónica e TelecomunicaçõesThe digital revolution of the 21st century contributed to stem the Internet of Things (IoT). Trillions of embedded devices using the Internet Protocol (IP), also called smart objects, will be an integral part of the Internet. In order to support such an extremely large address space, a new Internet Protocol, called Internet Protocol Version 6 (IPv6) is being adopted. The IPv6 over Low Power Wireless Personal Area Networks (6LoWPAN) has accelerated the integration of WSNs into the Internet. At the same time, the Constrained Application Protocol (CoAP) has made it possible to provide resource constrained devices with RESTful Web services functionalities. This work builds upon previous experience in street lighting networks, for which a proprietary protocol, devised by the Lighting Living Lab, was implemented and used for several years. The proprietary protocol runs on a broad range of lighting control boards. In order to support heterogeneous applications with more demanding communication requirements and to improve the application development process, it was decided to port the Contiki OS to the four channel LED driver (4LD) board from Globaltronic. This thesis describes the work done to adapt the Contiki OS to support the Microchip TM PIC24FJ128GA308 microprocessor and presents an IP based solution to integrate sensors and actuators in smart lighting applications. Besides detailing the system’s architecture and implementation, this thesis presents multiple results showing that the performance of CoAP based resource retrievals in constrained nodes is adequate for supporting networking services in street lighting networks.A revolução digital do século 21 contribuiu para o surgimento da Internet das Coisas (IoT). Em breve triliões de dispositivos embutidos usando o Internet Protocol (IP) serão parte integrante da Internet. De modo a suportar tal gama de endereços, um novo protocolo de Internet, chamado Internet Protocol versão 6 (IPv6) está a ser adoptado. O IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) acelerou a integração das redes sem-fios de sensores na Internet. Ao mesmo tempo, o Constrained Application Protocol (CoAP) tornou possível fornecer funcionalidades de serviços Web RESTful a dispositivos com recursos limitados. Este trabalho baseia-se em experiências anteriores em redes de iluminação pública, para os quais um protocolo proprietário, elaborado pelo Lighting Living Lab, foi implementado e usado durante vários anos. O protocolo proprietário tem sido utilizado numa ampla gama de placas de controlo de iluminação. De modo a suportar aplicações heterogéneas com requisitos de comunicação mais exigentes além de melhorar o processo de desenvolvimento de aplicações, adaptou-se o Contiki OS à placa LED driver de 4 canais (4LD) da Globaltronic. Esta dissertação descreve o trabalho conduzido para adaptar o Contiki OS ao microprocessador Microchip TM PIC24FJ128GA308 e apresenta uma solução baseada em IP para integrar sensores e atuadores em aplicações de iluminação inteligentes. Além da descrição da arquitetura e da implementação do sistema, este trabalho apresenta vários resultados que mostram que o desempenho do protocolo CoAP na placa 4LD é adequado para suportar serviços Web em redes de iluminação pública

    Internet of Things: From applications, challenges and standardization to Industry implementations

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    The Internet of Things that is defined as anything that can be accessible anytime and anywhere provides connectivity to different objects and sensors around us and which will enable the transfer of different data between these objects and devices. A thing in the Internet of Things can be any natural or man-made object that can be assigned an IP address with a capability to exchange date over a network. There is a huge number of applications of IoT to benefit users, such as health monitors, smart homes, connected cars etc. If everything around us is connected and information about these things that can contain sensitive information, e.g. health and other personal information, are collected then these networks become very important and must be able to provide a proper security and privacy. It is believed that by 2020 there will be over 50 billion things that could be connected to Internet. Internet of things are very much associated with M2M (machine to machine communication) that is identified as a technology that makes objects smart, like smart homes, smart utility meters etc. M2M actually is considered to be a subset of IoT and which is mainly used for difficult and dangerous tasks, e.g. nuclear plants, etc. The deployment of IoT has already started and is expected to transform the way we live. According to Gartner, a technology research company, the Internet of Things has just reached the deployment stage by early adopters and the full deployment is expected in over ten years. From an industry angle, this paper will examine the market and technical trends of Internet of Things, main applications that will be supported by this technology, key issues and challenges faced by the industry, standards activities around IoT and finally the implementation landscape

    Internet of Things: From applications, challenges and standardization to Industry implementations

    Get PDF
    The Internet of Things that is defined as anything that can be accessible anytime and anywhere provides connectivity to different objects and sensors around us and which will enable the transfer of different data between these objects and devices. A thing in the Internet of Things can be any natural or man-made object that can be assigned an IP address with a capability to exchange date over a network. There is a huge number of applications of IoT to benefit users, such as health monitors, smart homes, connected cars etc. If everything around us is connected and information about these things that can contain sensitive information, e.g. health and other personal information, are collected then these networks become very important and must be able to provide a proper security and privacy. It is believed that by 2020 there will be over 50 billion things that could be connected to Internet. Internet of things are very much associated with M2M (machine to machine communication) that is identified as a technology that makes objects smart, like smart homes, smart utility meters etc. M2M actually is considered to be a subset of IoT and which is mainly used for difficult and dangerous tasks, e.g. nuclear plants, etc. The deployment of IoT has already started and is expected to transform the way we live. According to Gartner, a technology research company, the Internet of Things has just reached the deployment stage by early adopters and the full deployment is expected in over ten years. From an industry angle, this paper will examine the market and technical trends of Internet of Things, main applications that will be supported by this technology, key issues and challenges faced by the industry, standards activities around IoT and finally the implementation landscape

    A holistic architecture using peer to peer (P2P) protocols for the internet of things and wireless sensor networks

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    Wireless Sensor Networks (WSNs) interact with the physical world using sensing and/or actuation. The wireless capability of WSN nodes allows them to be deployed close to the sensed phenomenon. Cheaper processing power and the use of micro IP stacks allow nodes to form an “Internet of Things” (IoT) integrating the physical world with the Internet in a distributed system of devices and applications. Applications using the sensor data may be located across the Internet from the sensor network, allowing Cloud services and Big Data approaches to store and analyse this data in a scalable manner, supported by new approaches in the area of fog and edge computing. Furthermore, the use of protocols such as the Constrained Application Protocol (CoAP) and data models such as IPSO Smart Objects have supported the adoption of IoT in a range of scenarios. IoT has the potential to become a realisation of Mark Weiser’s vision of ubiquitous computing where tiny networked computers become woven into everyday life. This presents the challenge of being able to scale the technology down to resource-constrained devices and to scale it up to billions of devices. This will require seamless interoperability and abstractions that can support applications on Cloud services and also on node devices with constrained computing and memory capabilities, limited development environments and requirements on energy consumption. This thesis proposes a holistic architecture using concepts from tuple-spaces and overlay Peer-to-Peer (P2P) networks. This architecture is termed as holistic, because it considers the flow of the data from sensors through to services. The key contributions of this work are: development of a set of architectural abstractions to provide application layer interoperability, a novel cache algorithm supporting leases, a tuple-space based data store for local and remote data and a Peer to Peer (P2P) protocol with an innovative use of a DHT in building an overlay network. All these elements are designed for implementation on a resource constrained node and to be extensible to server environments, which is shown in a prototype implementation. This provides the basis for a new P2P holistic approach that will allow Wireless Sensor Networks and IoT to operate in a self-organising ad hoc manner in order to deliver the promise of IoT

    Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

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    Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoT-aided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems

    A Demo of Application Lifecycle Management for IoT Collaborative Neighborhood in the Fog

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    International audienceRegarding latency, privacy, resiliency and network scarcity management, only distributed approaches such as proposed by Fog Computing architecture can efficiently address the fantastic growth of the Internet of Things (IoT). IoT applications could be deployed and run hierarchically at different levels in an infrastructure ranging from centralized datacenters to the connected things themselves. Consequently, software entities composing IoT applications could be executed in many different configurations. The heterogeneity of the equipment and devices of the target infrastructure opens opportunities in the placement of the software entities, taking into account their requirements in terms of hardware, cyber-physical interactions and software dependencies. Once the most appropriate place has been found, software entities have to be deployed and run. Container-based virtualization has been considered to overpass the complexity of packaging, deploying and running software entities in a heterogeneous distributed infrastructure at the vicinity of the connected devices. This paper reports a practical experiment presented as a live demo that showcases a " Smart Bell in a Collaborative Neighborhood " IoT application in the Fog. Application Lifecycle Management (ALM) has been put in place based on Docker technologies to deploy and run micro-services in the context of Smart Homes operated by Orange

    PIS: IoT & Industry 4.0 Challenges

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    International audienceIn the era of Industry 4.0, digital manufacturing is evolving into smart manufacturing. This evolution impacts companies in three main areas: organization, people, and technologies. This chapter analyzes the Internet of Things (IoT) and Cyber-Physical Systems (CPS)—key technologies transforming the physical world into a digitalized physical world. IoT and CPS provide factories with sensing capabilities, perform data and context capture and allow them to act/react to optimize the value chain. We survey the recent state-of-the-art development of the Industrial Internet of Things (IIoT)—also known as IoT and CPS in the context of Industry 4.0, from a protocol, architecture, and standard point-of-view. We also explore key challenges and future research directions for extensive industrial adoption of these technologies

    A Demo of Application Lifecycle Management for IoT Collaborative Neighborhood in the Fog

    Get PDF
    International audienceRegarding latency, privacy, resiliency and network scarcity management, only distributed approaches such as proposed by Fog Computing architecture can efficiently address the fantastic growth of the Internet of Things (IoT). IoT applications could be deployed and run hierarchically at different levels in an infrastructure ranging from centralized datacenters to the connected things themselves. Consequently, software entities composing IoT applications could be executed in many different configurations. The heterogeneity of the equipment and devices of the target infrastructure opens opportunities in the placement of the software entities, taking into account their requirements in terms of hardware, cyber-physical interactions and software dependencies. Once the most appropriate place has been found, software entities have to be deployed and run. Container-based virtualization has been considered to overpass the complexity of packaging, deploying and running software entities in a heterogeneous distributed infrastructure at the vicinity of the connected devices. This paper reports a practical experiment presented as a live demo that showcases a " Smart Bell in a Collaborative Neighborhood " IoT application in the Fog. Application Lifecycle Management (ALM) has been put in place based on Docker technologies to deploy and run micro-services in the context of Smart Homes operated by Orange
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