Implementation of Collection Tree Protocol Over Wirelesshart Data-Link

Total Page:16

File Type:pdf, Size:1020Kb

Implementation of Collection Tree Protocol Over Wirelesshart Data-Link , Implementation of Collection Tree Protocol over WirelessHART Data-Link Author: Kiran Kumar Koneri EXAM WORK 2010 SUBJECT: Electrical Engineering with specialisation in Embedded Systems Postadress: Besöksadress: Telefon: Box 1026 Gjuterigatan 5 036-10 10 00 551 11 Jönköping Implementation of Collection Tree Protocol over WirelessHART Data-Link Author: Kiran Kumar Koneri This thesis work is performed at Jönköping University within the subject area of Electrical Engineering. This work is part of the Master’s Degree program with the specialization in Embedded Systems. The author takes responsibility for opinions, conclusions and findings presented. Supervisor and Examiner: Professor Youzhi Xu Scope: 30 credits (D-Level) Date: Archive Number: Postadress: Besöksadress: Telefon: Box 1026 Gjuterigatan 5 036-10 10 00 551 11 Jönköping Abstract Abstract Wireless Sensor Networks (WSNs) are ad-hoc wireless networks for small form-factor embedded nodes with limited memory, processing and energy resources. Certain applications, like industrial automation and real-time process monitoring requires time synchronized reliable network protocol. Current work for WSNs provides either time synchronized with low reliability (WirelessHART) or reliable network without time synchronization (Collection Tree Protocol). The Collection Tree Protocol (CTP) provides the reliability from 94.7% to 99.9% for CSMA-CA based MAC layer. This paper addresses channel hopping, a class of frequency diverse communication protocol in which subsequent packets are sent over different frequency channels. Channel hopping combats external interference and persistent multipath fading, two of the main causes of failure along a communication link. Channel hopping technique leads to a high reliable and efficient protocol which is specified by HART Communication Foundation and named as WirelessHART. WirelessHART Data-Link layer designed based on TDMA and CSMA-CA mechanism. By implementing the CTP over WirelessHART Data-Link layer, the reliability of the network protocol can be improved compare to actual CTP standard implementation. This thesis describes the design and implementation of Collection Tree Protocol over WirelessHART Data-Link layer. The implementation is done using TinyOS, nesC programming language using Crossbow TelosB CC2420 radio chip nodes. The results and experiments show the evaluation of the system prototype. i Key Words Key Words WSN WirelessHART Time Synchronization Channel Hopping Collection Tree Protocol Reliability Efficiency ii Acknowledgement Acknowledgement First of all, I would like to thank my Professor Youzhi Xu, who provided me an opportunity to do my master thesis in a very promising field of Wireless Sensor Networks. His great ability in grasping the research direction of wireless sensor network deeply inspired and educated me. I would like to express my thanks to Ph.D candidate Wei Shen, who gave me his time, motivation, guidance and encouragement during my whole thesis study and lead me the way to finish. I would like to say special thanks to our master’s program coordinator Alf Johansson and Professor Shashi Kumar, for being always helpful and giving all kinds of support during my master studies. I would like to thank Thomas Gustafson for delivering great and invaluable knowledge. Last but not least, I am very thankful to my lovable and respectable parents Ashok Koneri and Uma Rani Koneri for their motivation during my difficult hours and support throughout my life. Their love and supplications helped me in materializing my goals and in completing my thesis with success. I am also thankful to all my family members and friends for their support and encouragement throughout my studies. iii Table of Contents Table of Contents Abstract .......................................................................................................... i Key Words ..................................................................................................... ii Acknowledgement ....................................................................................... iii List of figures ................................................................................................ vi List of Tables ............................................................................................... vii List of Abbreviations.................................................................................. viii 1. Introduction ............................................................................................ 1 1.1. Background .......................................................................................................... 1 1.2. Purpose and Aim .................................................................................................. 2 1.3. Delimits ................................................................................................................ 3 2. Technical Background ........................................................................... 4 2.1. IEEE 802.15.4 ...................................................................................................... 5 2.2. Introduction to WirelessHART ............................................................................ 5 2.2.1. Physical Layer ................................................................................................ 7 2.2.2. Data – Link Layer ......................................................................................... 7 2.2.3. Network and Transport Layer ......................................................................... 7 2.3. Introduction to Collection Tree Protocol ............................................................. 7 2.4. Related Work........................................................................................................ 8 3. Methodology and Implementation process ........................................ 9 3.1. Research Method .................................................................................................. 9 3.2. Implementation process ...................................................................................... 10 3.3. TinyOS v2.0 ....................................................................................................... 10 4. WirelessHART ..................................................................................... 12 4.1. WirelessHART MAC protocol ........................................................................... 12 4.1.1. The Data-Link packet (DLPDU) ................................................................. 12 4.1.2. TDMA overview .......................................................................................... 14 iv Table of Contents 4.1.3. Shared slot ................................................................................................... 15 4.1.4. Communication Tables ................................................................................ 16 4.2. Source Code – TSCH (Time Synchronized Channel Hoping) ........................... 17 4.2.1. Overview of TSCH ...................................................................................... 17 4.2.2. Packet structure ............................................................................................ 19 4.2.3. TSCH Wiring ............................................................................................. 20 4.2.4. TSCH message handling ............................................................................... 23 5. Review of the Collection Tree Protocol (CTP) ................................ 26 5.1. CTP routing and Data Packets ........................................................................... 26 5.1.1. Physical and MAC overhead ......................................................................... 26 5.1.2. CTP Data Frame ......................................................................................... 26 5.1.3. CTP Routing Frame ..................................................................................... 27 5.1.4. Acknowledgements ........................................................................................ 28 5.2. Link Estimator module ....................................................................................... 28 5.3. Routing Engine module ...................................................................................... 28 5.3.1. Adaptive Beaconing ...................................................................................... 29 5.4. Forwarding Engine ............................................................................................. 29 5.4.1. Loop detection and handling ......................................................................... 30 6. CTP over WirelessHART ................................................................... 31 6.1. CTP – TSCH packet structure ........................................................................... 31 6.2. CTP – TSCH wiring and working ..................................................................... 32 7. Experiments and Results ..................................................................... 35 8. Conclusion and Future Work ............................................................. 38 References ................................................................................................... 39 Appendix 1: TSCH Data-Link layer component graph .......................... 41 Appendix 2: TSCHC component code ..................................................... 42 Appendix 3: CtpP
Recommended publications
  • Smartmesh IP Network and Iot System
    St. Cloud State University theRepository at St. Cloud State Department of Electrical and Computer Culminating Projects in Electrical Engineering Engineering 5-2021 SmartMesh IP Network and IoT System Marc Aurel Kamsu Tennou Follow this and additional works at: https://repository.stcloudstate.edu/ece_etds Part of the Electrical and Computer Engineering Commons Recommended Citation Kamsu Tennou, Marc Aurel, "SmartMesh IP Network and IoT System" (2021). Culminating Projects in Electrical Engineering. 7. https://repository.stcloudstate.edu/ece_etds/7 This Thesis is brought to you for free and open access by the Department of Electrical and Computer Engineering at theRepository at St. Cloud State. It has been accepted for inclusion in Culminating Projects in Electrical Engineering by an authorized administrator of theRepository at St. Cloud State. For more information, please contact [email protected]. SmartMesh IP Network and IoT System by Marc Kamsu A Thesis Submitted to the Graduate Faculty of Saint Cloud State University in Partial Fulfillment of the Requirements for the Degree of Master of Science In Electrical Engineering May 2021 Thesis Committee: Yi Zheng, Chairperson Aiping Yao Timothy Vogt 2 Abstract In recent years, a great deal of research conducted in a variety of scientific areas, including physics, microelectronics, and material sc ience, by scientific experts from different domains of expertise has resulted in the invention of Micro-Electro-Mechanical Systems (MEMS). As MEMS became very popular and widely used, the need for combining the capabilities of sensing, actuation, processing, and communication also grew, and led to further research which would result in the design and implementation of devices which could reflect all those four capabilities.
    [Show full text]
  • Synchronous Data Acquisition with Wireless Sensor Networks the Scientifc Series Advances in Automation Engineering Is Edited by Prof
    Advances in Automaton Engineering Band 4 Editor: Clemens Gühmann Jürgen Helmut Funck Synchronous data acquisiton with wireless sensor networks Universitätsverlag der TU Berlin Jürgen Helmut Funck Synchronous data acquisition with wireless sensor networks The scientifc series Advances in Automation Engineering is edited by Prof. Dr.-Ing. Clemens Gühmann. Advances in Automation Engineering | 4 Jürgen Helmut Funck Synchronous data acquisition with wireless sensor networks Universitätsverlag der TU Berlin Bibliographic information published by the Deutsche Nationalbibliothek The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografe; detailed bibliographic data are available on the Internet at http://dnb.dnb.de. Universitätsverlag der TU Berlin, 2018 http://verlag.tu-berlin.de Fasanenstr. 88, 10623 Berlin Tel.: +49 (0)30 314 76131 / Fax: -76133 E-Mail: [email protected] Zugl.: Berlin, Techn. Univ., Diss., 2017 Gutachter: Prof. Dr.-Ing. Clemens Gühmann Gutachter: Prof. Dr.-Ing. Gerd Scholl Gutachter: Prof. Dr.-Ing. Reinhold Orglmeister Die Arbeit wurde am 12. Oktober 2017 an der Fakultät IV unter Vorsitz von Prof. Dr.-Ing. Olaf Hellwich erfolgreich verteidigt. This work is protected by copyright. Cover image: vickysandoval22 | https://www.fickr.com/photos/115327016@ N06/12603289253/ | CC BY 2.0 https://creativecommons.org/licenses/by/2.0/ Print: docupoint GmbH Layout/Typesetting: Jürgen Helmut Funck ISBN 978-3-7983-2980-5 (print) ISBN 978-3-7983-2981-2 (online) ISSN 2509-8950 (print) ISSN 2509-8969 (online) Published online on the institutional Repository of the Technische Universität Berlin: DOI 10.14279/depositonce-6716 http://dx.doi.org/10.14279/depositonce-6716 Credits This thesis is the result of my time as research assistant at the Chair of Electronic Measurement and Diagnostic Technology at the Technische Universitat¨ Berlin.
    [Show full text]
  • Concepts General Concepts Wireless Sensor Networks (WSN)
    Wireless Sensor Networks – Concepts General Concepts Wireless Sensor Networks (WSN) are built based on a combination of multiple sensors placed in diverse locations, wireless communication network infrastructure and software data processing to monitor and record multiple parameters. Commonly monitored parameters are temperature, atmospheric pressure, humidity, vibration, illuminance, sound level, power consumption, chemical concentration, body health signals and many others, dependant on the selected available sensors. The WSN are used in multiple fields, ranging from remote environment monitoring, medical health, to home surveillance and industrial machines monitoring. In some cases, WSN can also be additionally used for control functions, apart from monitoring functions. Typically a WSN is made of sensor nodes that are wirelessly connected to a gateway that is then connected to a main computer (Fig. 1). In some WSN the sensor nodes can also be connected to each other, so that is possible to implement multi-hop wireless mesh networks. The gateway connects to the main computer through a cabled or wireless connection. Figure 1 – Wireless sensor network The wireless communications used in WSN depend on the application requirements, taking into consideration the needs in terms of transmission distance, sensor data bandwidth, energy source and power consumption. Common communications include standard protocols such as 2.4 GHz radio based on either IEEE802.15.4 (ZigBee, ISA 100, WirelessHart, MiWi) or IEEE802.11 (WiFi) standards. Each sensor node typically includes an embedded microcontroller system with adequate electronic interface with a sensor (or set of sensors), a radio transceiver with antenna (internal or external) and an energy source, usually a battery, or in some cases an energy harvesting circuit.
    [Show full text]
  • Internet of Things (Iot): Protocols White Paper
    INTERNET OF THINGS (IOT): PROTOCOLS WHITE PAPER 11 December 2020 Version 1 1 Hospitality Technology Next Generation Internet of Things (IoT) Security White Paper 11 December 2020 Version 1 About HTNG Hospitality Technology Next Generation (HTNG) is a non-profit association with a mission to foster, through collaboration and partnership, the development of next-generation systems and solutions that will enable hoteliers and their technology vendors to do business globally in the 21st century. HTNG is recognized as the leading voice of the global hotel community, articulating the technology requirements of hotel companies of all sizes to the vendor community. HTNG facilitate the development of technology models for hospitality that will foster innovation, improve the guest experience, increase the effectiveness and efficiency of hotels, and create a healthy ecosystem of technology suppliers. Copyright 2020, Hospitality Technology Next Generation All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior permission of the copyright owner. For any software code contained within this specification, permission is hereby granted, free-of-charge, to any person obtaining a copy of this specification (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the above copyright notice and this permission notice being included in all copies or substantial portions of the Software.
    [Show full text]
  • NANODUST NETWORK for TACTICAL BORDER SURVEILLANCE SYSTEM N.Sivakumar1, T
    International Journal of Advance Research In Science And Engineering http://www.ijarse.com IJARSE, Vol. No.4, Special Issue (02), February 2015 ISSN-2319-8354(E) NANODUST NETWORK FOR TACTICAL BORDER SURVEILLANCE SYSTEM N.SivaKumar1, T. Sivasankari2 1,2 P.G Student, Raja College of Engineering and Technology, Madurai, Tamilnadu, (India) ABSTRACT The greatest threat to national security is “Terrorism”infiltrating through borders. In critical border areas such as Kashmir and Bangladesh regular forces or even satellites cannot monitor these intruding terrorists as the area monitored is quite large and quite complex. This project provides an innovative and effective solution to this problem. Keywords: IEEE 802.15.4, PIR Sensor, Buzzer, PCB Antenna I. INTRODUCTION The small dust like wireless sensor motes which has multiple onboard sensors and a processor, which has the ability to detect an enemy intrusion across borders and battlefields. Thousands of these smart dust motes can be deployed within a large area in a few hours by one or two men. The motes can form a network on its own among them, are small in size, rapidly deployable, have wireless connection to outside world. They detect the intrusion and classify it into vehicles or individuals and groups. Onboard hardware include a variety of sensors for vibration/seismic, magnetic, acoustic and thermal signature recognition, a microcontroller for processing these sensor values and a radio transceiver for communication over a wireless network. The system process the sensor readings, classify the targets and the tracking history can be viewed in the Graphics LCD display attached in the central monitoring unit.
    [Show full text]
  • Framework for Body Sensor Networks
    Framework for Body Sensor Networks Sameer Iyengar Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2009-154 http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-154.html November 5, 2009 Copyright © 2009, by the author(s). All rights reserved. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission. Framework for Body Sensor Networks Sameer Iyengar Framework for Body Sensor Networks by Sameer Iyengar Research Project Submitted to the Department of Electrical Engineering and Computer Sciences, University of Cali- fornia at Berkeley, in partial satisfaction of the requirements for the degree of Master of Science, Plan II. Approval for the Report and Comprehensive Examination: Committee: Professor Alberto Sangiovanni-Vincentelli Research Advisor Date ****** Professor Ruzena Bajcsy Second Reader Date Acknowledgements It is impossible to be successful as a graduate student without a wide support network. I am extremely grateful for mine. I must thank my advisor, Alberto Sangiovanni-Vincentelli, for giving me the the freedom and inspiration to explore my interests and ideas, possibly the most valuable thing a researcher could ask for. In addition, to my mentors, Professor Ruzena Bajcsy and Professor Roozbeh Jafari, thank you for helping me focus my research and pushing me to always take that extra step.
    [Show full text]
  • IEEE 802.11 B/G/N Smartconnect Iot Module
    ATWINC15x0-MR210xB IEEE 802.11 b/g/n SmartConnect IoT Module Description The ATWINC15x0-MR210xB is a low-power consumption 802.11 b/g/n IoT (Internet of Things) module, which is specifically optimized for low-power IoT applications. The module integrates Power Amplifier, LNA, Switch, Power Management, and a choice of printed antenna or a micro co-ax (u.FL) connector for an external antenna resulting in a small form factor (21.7x14.7x2.1mm) design. With seamless roaming capabilities and advanced security, it could be interoperable with various vendors’ 802.11 b/g/n access points in wireless LAN. The module provides SPI ports to interface with a host controller. Note that all references to the ATWINC15x0-MR210xB module includes all the module devices listed below unless otherwise noted: • ATWINC1500-MR210PB • ATWINC1500-MR210UB • ATWINC1510-MR210PB • ATWINC1510-MR210UB Features • IEEE® 802.11 b/g/n 20MHz (1x1) solution • Single spatial stream in 2.4GHz ISM band • Integrated Transmit/Receive switch • Integrated PCB antenna or u.FL micro co-ax connector for external antenna • Superior Sensitivity and Range via advanced PHY signal processing • Advanced Equalization and Channel Estimation • Advanced Carrier and Timing Synchronization • Wi-Fi Direct and Soft-AP support • Supports IEEE 802.11 WEP, WPA, WPA2 Security • Superior MAC throughput via hardware accelerated two-level A-MSDU/A-MPDU frame aggregation and block acknowledgment • On-chip memory management engine to reduce host load • SPI host interface • Operating temperature range of -40°C to +85°C. RF performance guaranteed at room temperature of 25oC with a 2-3db change at boundary conditions.
    [Show full text]
  • And Mission-Critical Applications in Industrial Wireless Sensor Networks
    Enabling Time- and Mission-Critical Applications in Industrial Wireless Sensor Networks Hossam Farag Department of Information Systems and Technology Mid Sweden University Licentiate Thesis No. 151 Sundsvall, Sweden 2019 Mittuniversitetet Informationssystem och -teknologi ISBN 978-91-88527-84-4 SE-851 70 Sundsvall ISNN 1652-8948 SWEDEN Akademisk avhandling som med tillstand˚ av Mittuniversitetet i Sundsvall framlagges¨ till offentlig granskning for¨ avllaggande¨ av teknologie licentiatexamen Onsdagen den 30 januari 2019 i M102, Mittuniversitetet, Holmgatan 10, Sundsvall. c Hossam Farag, 2019 Tryck: Tryckeriet Mittuniversitetet My Wife My Parents iv Abstract Nowadays, Wireless Sensor Networks (WSNs) ”have gained importance as a flexible, easier deployment/maintenance and cost-effective alternative to wired net- works, e.g., Fieldbus and Wired-HART, in a wide-range of applications. Initially, WSNs were mostly designed for military and environmental monitoring applications where energy efficiency is the main design goal. The nodes in the network were expected to have a long lifetime with minimum maintenance while providing best-effort data delivery which is acceptable in such scenarios. With re- cent advances in the industrial domain, WSNs have been subsequently extended to support industrial automation applications such as process automation and con- trol scenarios. However, these emerging applications are characterized by stringent requirements regarding reliability and real-time communications that impose chal- lenges in the design of Industrial Wireless Sensor Networks (IWSNs) to effectively support time- and mission-critical applications. Typically, time- and mission-critical applications support different traffic cate- gories ranging from relaxed requirements, such as monitoring traffic to firm require- ments, such as critical safety and emergency traffic.
    [Show full text]
  • Wireless Sensor Networks
    White Paper ® Internet of Things: Wireless Sensor Networks Executive summary Today, smart grid, smart homes, smart water Section 2 starts with the historical background of networks, intelligent transportation, are infrastruc- IoT and WSNs, then provides an example from the ture systems that connect our world more than we power industry which is now undergoing power ever thought possible. The common vision of such grid upgrading. WSN technologies are playing systems is usually associated with one single con- an important role in safety monitoring over power cept, the internet of things (IoT), where through the transmission and transformation equipment and use of sensors, the entire physical infrastructure is the deployment of billions of smart meters. closely coupled with information and communica- Section 3 assesses the technology and charac- tion technologies; where intelligent monitoring and teristics of WSNs and the worldwide application management can be achieved via the usage of net- needs for them, including data aggregation and worked embedded devices. In such a sophisticat- security. ed dynamic system, devices are interconnected to transmit useful measurement information and con- Section 4 addresses the challenges and future trol instructions via distributed sensor networks. trends of WSNs in a wide range of applications in various domains, including ultra large sensing A wireless sensor network (WSN) is a network device access, trust security and privacy, and formed by a large number of sensor nodes where service architectures to name a few. each node is equipped with a sensor to detect physical phenomena such as light, heat, pressure, Section 5 provides information on applications. etc. WSNs are regarded as a revolutionary The variety of possible applications of WSNs to the information gathering method to build the real world is practically unlimited.
    [Show full text]
  • Dual Protocol Performance Using Wifi and Zigbee for Industrial WLAN
    American University in Cairo AUC Knowledge Fountain Theses and Dissertations 2-1-2016 Dual protocol performance using WiFi and ZigBee for industrial WLAN Ghada Afifi Follow this and additional works at: https://fount.aucegypt.edu/etds Recommended Citation APA Citation Afifi, G. (2016).Dual protocol performance using WiFi and ZigBee for industrial WLAN [Master’s thesis, the American University in Cairo]. AUC Knowledge Fountain. https://fount.aucegypt.edu/etds/352 MLA Citation Afifi, Ghada. Dual protocol performance using WiFi and ZigBee for industrial WLAN. 2016. American University in Cairo, Master's thesis. AUC Knowledge Fountain. https://fount.aucegypt.edu/etds/352 This Thesis is brought to you for free and open access by AUC Knowledge Fountain. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of AUC Knowledge Fountain. For more information, please contact [email protected]. The American University in Cairo School of Sciences and Engineering DUAL PROTOCOL PERFORMANCE USING WIFI AND ZIGBEE FOR INDUSTRIAL WLAN A Thesis Submitted to Electronics and Communication Engineering Department in partial fulfillment of the requirements for the degree of Master of Science by Ghada Sameh Afifi under the supervision of Prof. Hassanein H. Amer and Dr. Ramez Daoud July 2016 i ii To my Family and Friends iii Abstract The purpose of this thesis is to study the performance of a WNCS based on utilizing IEEE 802.15.4 and IEEE 802.11 in meeting industrial requirements as well as the extent of improvement on the network level in terms of latency and interference tolerance when using the two different protocols, namely WiFi and ZigBee, in parallel.
    [Show full text]
  • Microchip Miwi and P2P IEEE 802.15.4 Reference Files Dr
    Microchip MiWi and P2P IEEE 802.15.4 Reference Files Dr. Richard Wall – Professor Department of Electrical and Computer Engineering University of Idaho Moscow, ID 83844-1023 December 19, 2012 [email protected] 1. ZigBee and Wireless Standards - see http://www.stg.com/wireless/ZigBee_comp.html. https://sites.google.com/site/xbeetutorial/ 2. Basic Concepts a. Definition of: ZigBee "A wireless network used for home, building and industrial control. It conforms to the IEEE 802.15.4 wireless standard for low data rate networks. With a maximum speed of 250 Kbps at 2.4 GHz, ZigBee is slower than Wi-Fi and Bluetooth, but is designed for low power so that batteries can last for months and years. The typical ZigBee transmission range is roughly 50 meters, but that can vary greatly depending on temperature, humidity and air quality. b. Zigzag Like a Bee Although ZigBee networks can be configured in star, peer-to-peer and mesh topologies, it is the mesh network from which ZigBee was named. A ZigBee mesh provides multiple pathways from device to device (like the Internet) and eliminates a single point of failure. If nodes go down or are removed, ZigBee devices can "zig" and "zag" through the network to their destination like a bumblebee. 1 Page c. Lots of Bees1 ZigBee networks are simple control networks that periodically send small packets from sensors to regulate lights, motors and other equipment. A large building can have tens of thousands of ZigBee nodes; a home could have a hundred or more. In fact, ZigBee can address more than a thousand quadrillion devices (surely enough for the gadget fanatic's apartment!).
    [Show full text]
  • Wireless Communication Platform Iqrf – a Case Study
    WIRELESS COMMUNICATION PLATFORM IQRF – A CASE STUDY Zdeňka Kuchtová Doctoral Degree Programme (2nd), FEEC BUT E-mail: [email protected] Supervised by: Jaroslav Kadlec E-mail: [email protected] Abstract: This paper describes wireless communication platform IQRF, history of development, available modules and accessories for development and for production use. Very briefly are described communication gateways and cloud services. Part of the article describes DPA communication framework from Microrisc company and summarizes available communication frameworks for different platforms. Keywords: IQRF, DPA, IoT, Communication framework 1. INTRODUCTION Terms like Internet of Things, Smart City, Smart buildings are quite often used in today world. They have at least one common fact, they need communication inside solution and with outside world. For this communication needs wireless or wired solutions are available. Each of them has some advantages and some disadvantages [1, 2, 3]. Within this paper, we will talk about wireless solutions only. There is a wide range of the wireless solutions on the market. Some of them are standardized some of them are proprietary, and of course, some of them are trying to be a standard. From the standardized solutions, we could select WiFi, BlueTooth, RFID or ZigBee. From proprietary world MiWi, Z-Wave, IQRF and the others. Like always, all of them has some pros and some cons and are better or worse for different applications. In the rest of the article, we will stay with IQRF [4]. The article is organized as follows. The second section contains general information about IQRF wireless communication platform, followed by brief description of development tools and gateways to higher systems.
    [Show full text]