Survey on wireless technology trade-offs for the industrial internet of things

Aside from vast deployment cost reduction, Industrial Wireless Sensor and Actuator Networks (IWSAN) introduce a new level of industrial connectivity. Wireless connection of sensors and actuators in industrial environments not only enables wireless monitoring and actuation, it also enables coordination of production stages, connecting mobile robots and autonomous transport vehicles, as well as localization and tracking of assets. All these opportunities already inspired the development of many wireless technologies in an effort to fully enable Industry 4.0. However, different technologies significantly differ in performance and capabilities, none being capable of supporting all industrial use cases. When designing a network solution, one must be aware of the capabilities and the trade-offs that prospective technologies have. This paper evaluates the technologies potentially suitable for IWSAN solutions covering an entire industrial site with limited infrastructure cost and discusses their trade-offs in an effort to provide information for choosing the most suitable technology for the use case of interest. The comparative discussion presented in this paper aims to enable engineers to choose the most suitable wireless technology for their specific IWSAN deployment

Low-Power Wireless for the Internet of Things: Standards and Applications: Internet of Things, IEEE 802.15.4, Bluetooth, Physical layer, Medium Access Control,coexistence, mesh networking, cyber-physical systems, WSN, M2M

International audienceThe proliferation of embedded systems, wireless technologies, and Internet protocols have enabled the Internet of Things (IoT) to bridge the gap between the virtual and physical world through enabling the monitoring and actuation of the physical world controlled by data processing systems. Wireless technologies, despite their offered convenience, flexibility, low cost, and mobility pose unique challenges such as fading, interference, energy, and security, which must be carefully addressed when using resource-constrained IoT devices. To this end, the efforts of the research community have led to the standardization of several wireless technologies for various types of application domains depending on factors such as reliability, latency, scalability, and energy efficiency. In this paper, we first overview these standard wireless technologies, and we specifically study the MAC and physical layer technologies proposed to address the requirements and challenges of wireless communications. Furthermore, we explain the use of these standards in various application domains, such as smart homes, smart healthcare, industrial automation, and smart cities, and discuss their suitability in satisfying the requirements of these applications. In addition to proposing guidelines to weigh the pros and cons of each standard for an application at hand, we also examine what new strategies can be exploited to overcome existing challenges and support emerging IoT applications

Wireless Sensor Networks and TSCH: a compromise between Reliability, Power Consumption and Latency

7siReliability, power consumption, and latency are the three main performance indicators of wireless sensor networks. Time slotted channel hopping (TSCH) is a promising technique introduced in the IEEE 802.15.4 standard that performs some steps ahead in the direction of the final dream to meet all the previous requirements at the same time. In this article, a simple and effective mathematical model is presented for TSCH that, starting from measurements performed on a real testbed, permits to characterize both the network and the surrounding environment. To better characterize power consumption, an experimental measurement campaign was purposely performed on OpenMote B devices. The model, which was checked against a real 6TiSCH implementation, can be employed to predict network behaviour when configuration parameters are varied, in such a way to satisfy different application contexts. Results show that, when one of the three above indices is privileged, unavoidably there is a worsening of the others.openopenScanzio, Stefano; Vakili, Mohammad Ghazi; Cena, Gianluca; Demartini, Claudio Giovanni; Montrucchio, Bartolomeo; Valenzano, Adriano; Zunino, ClaudioScanzio, Stefano; Vakili, Mohammad Ghazi; Cena, Gianluca; Demartini, Claudio Giovanni; Montrucchio, Bartolomeo; Valenzano, Adriano; Zunino, Claudi

LPDQ: a self-scheduled TDMA MAC protocol for one-hop dynamic lowpower wireless networks

Current Medium Access Control (MAC) protocols for data collection scenarios with a large number of nodes that generate bursty traffic are based on Low-Power Listening (LPL) for network synchronization and Frame Slotted ALOHA (FSA) as the channel access mechanism. However, FSA has an efficiency bounded to 36.8% due to contention effects, which reduces packet throughput and increases energy consumption. In this paper, we target such scenarios by presenting Low-Power Distributed Queuing (LPDQ), a highly efficient and low-power MAC protocol. LPDQ is able to self-schedule data transmissions, acting as a FSA MAC under light traffic and seamlessly converging to a Time Division Multiple Access (TDMA) MAC under congestion. The paper presents the design principles and the implementation details of LPDQ using low-power commercial radio transceivers. Experiments demonstrate an efficiency close to 99% that is independent of the number of nodes and is fair in terms of resource allocation.Peer ReviewedPostprint (author’s final draft

High Performance Wireless Sensor-Actuator Networks for Industrial Internet of Things

Wireless Sensor-Actuator Networks (WSANs) enable cost-effective communication for Industrial Internet of Things (IIoT). To achieve predictability and reliability demanded by industrial applications, industrial wireless standards (e.g., WirelessHART) incorporate a set of unique features such as a centralized management architecture, Time Slotted Channel Hopping (TSCH), and conservative channel selection. However, those features also incur significant degradation in performance, efficiency, and agility. To overcome these key limitations of existing industrial wireless technologies, this thesis work develops and empirically evaluates a suite of novel network protocols and algorithms. The primary contributions of this thesis are four-fold. (1) We first build an experimental testbed realizing key features of the WirelessHART protocol stack, and perform a series of empirical studies to uncover the limitations and potential improvements of existing network features. (2) We then investigate the impacts of the industrial WSAN protocol’s channel selection mechanism on routing and real-time performance, and present new channel and link selection strategies that improve route diversity and real-time performance. (3) To further enhance performance, we propose and design conservative channel reuse, a novel approach to support concurrent transmissions in a same wireless channel while maintaining a high degree of reliability. (4) Lastly, to address the limitation of the centralized architecture in handling network dynamics, we develop REACT, a Reliable, Efficient, and Adaptive Control Plane for centralized network management. REACT is designed to reduce the latency and energy cost of network reconfiguration by incorporating a reconfiguration planner to reduce a rescheduling cost, and an update engine providing efficient and reliable mechanisms to support schedule reconfiguration. All the network protocols and algorithms developed in this thesis have been empirically evaluated on the wireless testbed. This thesis represents a step toward next-generation IIoT for industrial automation that demands high-performance and agile wireless communication

Energy-efficient wireless communication schemes and real-time middleware for machine-to-machine networks

Esta tesis estudia sistemas Machine-to-Machine (M2M) en los que se ejecutan tareas de manera autónoma sin, o con mínima intervención humana. Los sistemas M2M están formados por dispositivos desplegados en un entorno que recolectan información relacionada con una tarea y la envían a aplicaciones para su proceso. Las aplicaciones optimizan estas tareas y responden a los dispositivos con comandos de control. Idealmente, después de configurar las políticas de tareas, los humanos son excluidos del lazo de control. Un importante caso de uso en M2M es la automatización de la red eléctrica, también conocido como Smart Grid, que se trata en esta tesis. Muchos escenarios M2M requieren dispositivos de bajo bitrate, bajo coste y que puedan ser fácilmente desplegables y mantenidos. Una solución adecuada son los dispositivos inalámbricos, alimentados por batería y de capacidades limitadas (con reducida potencia de procesado y memoria). Un bajo mantenimiento requiere años de vida, que sólo pueden conseguirse con protocolos de comunicación altamente eficientes energéticamente. En esta tesis nos centramos principalmente en las capas MAC y de enlace (especialmente en esquemas Cooperative Automatic Repeat Request) para mejorar la eficiencia energética de los dispositivos. Proponemos y evaluamos extensiones de Cooperative MAC para varios estándares como IEEE 802.11, IEEE 802.15.4 y sus revisiones MAC. El transmisor radio de los dispositivos puede ponerse en estado de reposo cuando está inactivo, llevando a cortos periodos de activación (duty-cycle) en dispositivos de bajo bitrate, consiguiendo así un ahorro energético considerable. Dado que la capa MAC controla los estados de reposo de los transmisores radio, los esquemas de Duty-Cycle MAC son el pilar de las comunicaciones energéticamente eficientes. Por ello, en esta tesis diseñamos, analizamos y evaluamos esquemas Cooperative and Duty-Cycled ARQ (CDC-ARQ). CDC-ARQ se basa en la (re)transmisión dinámica de paquetes (dynamic packet forwarding) dependiendo del estado del canal inalámbrico. Cuantificamos las ganancias considerando enlaces inalámbricos de baja potencia con modelos realistas, que sufren efectos de apantallamiento (shadowing) desvanecimientos (fading) de canal, y presentamos las condiciones bajo las cuales CDC-ARQ consiguen mejores resultados que las técnicas estándar de forwarding. Finalmente, determinamos estrategias óptimas de selección de enlace y retransmisión para direct, multi-hop y CDC-ARQ forwarding. Los esquemas de comunicación inalámbricos energéticamente eficientes son adecuados, por ejemplo, para automatización de edificios y hogar, contribuyendo a un buen uso de la energía eléctrica en dichos escenarios. Después de considerar el entorno de dispositivos, la tesis se centra en las aplicaciones, al otro lado de los sistemas M2M. Las aplicaciones típicamente intercambian datos sobre amplias zonas con varios dispositivos remotos. Las técnicas de computación distribuida, estandarizadas e implementadas en plataformas middleware para sistemas M2M, facilitan este intercambio de datos. Los requisitos de comunicación de estas aplicaciones son diversos en términos de latencia, número de actualizaciones, número de dispositivos asociados, etc. Mientras que las soluciones middleware existentes tales como ETSI M2M satisfacen los requisitos de ciertas aplicaciones, dichas soluciones son inadecuadas para los requisitos de latencia de transmisión en tiempo real. Esta tesis propone y analiza modificaciones del ETSI M2M que mejoran el rendimiento en tiempo real. El análisis se ejemplifica con tres aplicaciones Smart Grid, una relacionada con la automatización del hogar y edificios, y las otras dos con la monitorización y control del flujo de potencia de la red eléctrica.This thesis studies emerging Machine-to-Machine (M2M) systems that execute automated tasks without, or with minimum human intervention. M2M systems consist of devices deployed in the field to collect task-related information and send it to remote applications for processing. The applications optimise the tasks and issue control commands back to the devices. Ideally, after configuring the task policies, humans are excluded from the control loop. A prominent and urgent M2M use case concentrates on the automation of the electric power grid, also known as Smart Grid, that is considered in the thesis. Many M2M scenarios require devices that are low-rate, low-cost and can be easily deployed and maintained. A fitting solution are wireless, battery-powered and resource-constrained devices (with limited processing power and memory). Low-maintenance requires years of lifetime, that can only be achieved with unprecedented energy efficiency of communication protocols. Specifically, we focus on the MAC and link layers in this thesis (especially on the Cooperative Automatic Repeat Request schemes) to improve the energy efficiency of the devices. Cooperative MAC extensions to the various standard technologies such as IEEE 802.11, IEEE 802.15.4 and its MAC amendments are proposed and evaluated. The radio transceiver of a device can be put to sleep state when inactive, yielding very low duty-cycles for low-rate devices, and thus achieving significant energy savings. Since the MAC layer controls the radio transceiver sleep states, duty-cycled MAC schemes are the cornerstone of the energy-efficient communication schemes. To that end, Cooperative and Duty-Cycled ARQ (CDC-ARQ) scheme has been designed, analysed and evaluated in this thesis. CDC-ARQ is based on dynamic packet forwarding depending on the current state of the wireless channel. The benefits are quantified by considering realistic wireless low-power links that experience shadowing and multipath fading channel effects. The conditions under which CDC-ARQ outperforms the standard forwarding techniques are presented. Finally, optimal link selection and retransmission strategies are determined for direct, multi-hop or CDC-ARQ forwarding. The studied energy-efficient wireless schemes are suitable e.g. for home and building automation which can contribute to the efficient use of the electric power in homes and buildings. After considering the device domain, the focus of this thesis turns to the applications at the other end of the M2M system. The applications typically exchange data over wide areas with many remote devices. Distributed computing techniques facilitate this data exchange, standardised and implemented in the middleware platform for M2M systems. The communication requirements of these applications are diverse in terms of data latency, update rate, number of associated devices etc. While the existing middleware solutions such as ETSI M2M fully support communication requirements of some applications, the solution is inadequate when it comes to the real-time latency constraint. Some suitable upgrades that improve the real-time performance of data exchange in ETSI M2M middleware are analysed in the thesis. The analysis is exemplified with three Smart Grid applications, one related to the home and building automation and the other two concerned with monitoring and control of the power flow in the electric grid

Temperature-Resilient Time Synchronization for the Internet of Things

Networks deployed in real-world conditions have to cope with dynamic, unpredictable environmental temperature changes. These changes affect the clock rate on network nodes, and can cause faster clock de-synchronization compared to situations where devices are operating under stable temperature conditions. Wireless network protocols such as Time-Slotted Channel Hopping (TSCH) from the IEEE 802.15.4-2015 standard are affected by this problem, since they require tight clock synchronization among all nodes for the network to remain operational. This paper proposes a method for autonomously compensating temperature-dependent clock rate changes. After a calibration stage, nodes continuously perform temperature measurements to compensate for clock drifts at run-time. The method is implemented on low-power IoT nodes and evaluated through experiments in a temperature chamber, indoor and outdoor environments, as well as with numerical simulations. The results show that applying the method reduces the maximum synchronization error more than 10 times. In this way, the method allows reduce the total energy spent for time synchronization, which is practically relevant concern for low data rate, low energy budget TSCH networks, especially those exposed to environments with changing temperature.This work was performed under the SPHERE IRC funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant EP/K031910/1. It was also partly funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 761586 (5G-CORAL), the distributed environment Ecare@Home funded by the Swedish Knowledge Foundation, and by a grant from CPER Nord-PasdeCalais/ FEDER DATA