DOCSLIB.ORG

ACTS, Pune PG Diploma in Internet of Things (PG-DIOT)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
ACTS, Pune PG Diploma in Internet of Things (PG-DIOT) ACTS, Pune PG Diploma in Internet of Things (PG-DIOT) Course Objective & Scope: To utilize various Embedded Technologies related to IoT, Sensor Networks, Communication Protocols, Cloud Computing, Accessing Resources and Services needed to perform functions with dynamically changing needs. To understand the IoT privacy and Security Concepts for secured IoT environment. To utilize the various IoT Platforms to explore Real Time IoT Applications Areas. To explore Modern IoT Trends To undertake industrial research projects for the development of future solutions in the domain of Data Analytics to make an impact in the technological advancement. To use advanced IoT Tools/ Decision-Making Tools/ Operation Research Techniques to analyze the complex problems and get ready to develop such new techniques for the future. Eligibility Criteria: Graduate in Engineering or equivalent (e.g. BE / B.Tech / 4-year BSc Engg / AMIE / DoEACC B Level, etc.) in Electronics/ Computer Science/ IT or related areas OR Post Graduate in Engineering Sciences (e.g. MCA, MSc in Computer Science, IT, Electronics, etc.) Pre- Requisites: Candidate should have sound knowledge of: Fundamentals of C Programming Basics of Operating System Concepts and Basics of Linux Basics of Electronics Course Modules: Sr. No. Module Name Hours 1. Fundamentals of IoT 40 2. Programming Technologies 100 3. Microcontrollers Programming & OS / RTOS 80 4. Embedded Linux 80 5. Sensor Networks 80 6. Communication Models & Protocols 60 7. Data Management & Analytics 90 8. Cloud Computing 30 9. Technological Aggregation & Case Studies 60 10. Mobile Application Development 80 11. Aptitude and English 50 12. Effective Communication 50 13. Project 100 Total 900 Page 1 of 7 ACTS, Pune Contents: C Language: º Introduction to C Standards 1. Fundamentals of IoT º Programming Environment – Building Phases (40 Hours) º GNU Tool chain, tools for development,analysis º Layout of a C program º Introduction to IOT º Language Basics º Evolution of IOT, History º Internal representation of data types º M2M and/or IOT º Qualifiers º Applications of IOT º Operators º Use cases of IOT º Control Structures º Reference Architecture of IOT º Pointers & Arrays º Things in IOT º const,volatile keywords º IOT Functional Blocks º Functions º Sensors & Actuators º Parameter Passing, Returning data º Target Boards º Recursion º IOT Servers/Cloud Platforms º Function Pointers º Functionality º Linkage Rules º API models º Strings º Need for gateway/middleware solutions º Library functions º Role of IOT gateway º Command Line Arguments º Case Study – OpenIOT º Structures & Unions º Case Study – LinkSmart/Hydra Middleware º Alignment, Packing Issues º IOT Standards º Bit Fields º IOT-A Reference Architecture º Dynamic Memory Management º IOT-A Architecture Reference Model(ARM) º Detecting Memory Leaks,Heap analysis º Programming for IOT º Preprocessor º Choice of language º Enumeration Types º Open and Closed source models º File Handling º IOT Development Methodology º Single Linked Lists Requirements Gathering Stacks and Queues Process,domain model,information model º Searching Techniques IOT levels º Sorting Techniques Functional,Operational View Python Integration º Introduction to Python,Scope in IOT º Business Models º Setting up environment Cost Analysis º Simple programs Crowd Sourcing,funding º Console I/O Operations Prototyping vs Production º Data Types,Variables,Literals Mass Production º Operators º IOT Design Patterns for º Control Structures Data,Information models º Arrays Communication º String handling Infrastructure º Regular expressions,pattern matching º Challenges in IOT º Functions º File Handling º Exception handling 2. Programming Technologies º Modules (100 Hours) º Packages Page 2 of 7 ACTS, Pune º Building custom packages º Case Study – mbed.org APIs(or Suitable APIs for º Data Structures in Python target MCU) º Standard Library º Peripheral management in MCUs º Example library - os Module º Peripheral management in MCUs º Object Oriented Python º Peripheral management in MCUs º Dialects of pyhthon – cpython,micropython º Bus Standards º Introduction to Nodejs,Setting up environment º CAN Basics º Writing Simple scripts,Console I/O º Designing CAN Slave, CAN Master º Package Management,importing libraries º Overview of Arduino Family of Boards, º Running simple web server Architecture º Nodejs objects,fields º Arduino Shields,Pinout º Event handling,callbacks º Arduino SDK and APIs for peripheral management º Error handling º Arduino Examples º String handling º FIRMATA for peripheral management º Buffer management º Debugging Support, Techniques º File handling JTAG º Example modules(os,path etc.) CMSIS DAP NodeRED OpenOCD º Introduction to NodeRED º Introduction to RTOS º Existing nodes,Simple flow º What is Real Time, Real Life Examples º Importing,Exporting flows º Bare metal code vs RTOS º Writing functions º GPOS vs RTOS º Context management º Case Study – FreeRTOS/mbed RTOS/CMSIS RTOS º Simple UI creation º RTOS Services Task Management (periodic vs aperiodic task) Timer Management (auto reload vs oneshot 3. Microcontrollers Programming & OS / RTOS mode timers) (80 Hours) º RTOS Services Queues, Semaphores,Mutex,Event Flags º Introduction to MCU Families Priority Inversion, Priority Inheritance º Overview of ARM Cortex-M architecture Protocols º CMSIS standard º Interrupt Management º Registers, Operation Modes º Memory Management º Instruction Set º Benchmarking factors º Thumb-2 Instructions Scheduling Latency º Startup code Interrupt Latency º Memory Model º Constrained OS for MCUs º Linker map º Deploying ContikiOS, RIOT OS on target hardware º Bus Interface º FreeRTOS and Addons for MCUs º Clock, Timer Management º Watchdog timers 4. Embedded Linux (80 Hours) º RTC º Introduction to Linux º Interrupt Handling º Linux File System º Exception handling º Command Line overview º Mode Switching º Basic scripting º Development environment – Keil,arm-gcc etc º Package Management º Building phases º Administration essentials º Blinking LED example º Networking essentials Page 3 of 7 ACTS, Pune º Introduction to Embedded Linux º Link Layer º Architecture – Kernel , System Calls º Ethernet(PCI/USB/SPI) /proc, /sys interfaces º MAC layer º Bootloader, Kernel º IP Layer º Rootfs image º IPv4 and IPv6 º Setting up Linux for target board(Rpi/BBB/Edison) º Mobile IP º Cross Toolchain º TCP & UDP protocols º Building Custom Kernel º TCP,UDP Socket APIs º Building user space code (static, dynamic linking) º Client – Server Examples º Linux Internals º Light Weight Network Stacks º Process Management º Case Study – lwip º Linux Internals º WLAN (IEEE 802.11 standard) º Threading º Linux & MCU Support º Scheduling in linux º WiFi motes º Linux Internals º IEEE 802.15.4 standard º Synchronization and Data Exchange(Inter process º Wireless PAN communication) º IEEE 802.15.4 implementations º Semaphores,Mutex º Zigbee, Miwi, Nrf24,Thread etc. º Shared Memory,Message Queues º IEEE 802.15.4 implementations º Linux Internals º Linux & MCU Support º File Handling, Pipes & Fifos º Bridging IP networks º Writing Simple Drivers º 6LowPAN º Building Drivers for target board º IPv6 Routing Protocol for Low-Power(RPL) and º Clock Management(RTC/NTP) Lossy Networks º Device Tree Concepts º RPL Border Router º Memory mapping º Bluetooth Basics º Blinking LEDs on target board º Bluetooth Profiles º Peripheral management in Linux using º Bridging Bluetooth,IP networks C,Python/Nodejs libraries º Bluetooth Smart/Low Energy º GPIO º BLE Profiles º SPI º GATT profile º I2C º BLE Motes. Beacons, EddyStone º ADC º Cellular Technologies º WDT º GSM,GPRS, CDMA, 3G/UMTS, 4G/LTE º Wired connectivity – gateways/bridging solutions º Cellular Technologies º UART, termios library º 3G/UMTS, 4G/LTE º USB – utilities & libraries(libusb) º RFID º Debugging/Tracing Techniques º IrDA º Firmata Clients º NFC º Linux for real time º Location Tracking – GPS º GeoMapping 5. Sensor Networks (80 Hours) º Case Study – Contiki OS º Network Layer Model(OSI or TCP/IP) º Erbium Stack º Overview of each layer(Physical, Link, Network, º RPL Border Router Transport) º Case Study – RIOT OS º Network Model for IOT Needs º Network Topologies 6. Communication Models & Protocols º Physical Layer (60 Hours) Page 4 of 7 ACTS, Pune º M2M vs IOT º Data Ware Housing Concepts and Introduction to º IOT vs WOT Tools º M2M Protocols º NOSQL º IOT Protocols º Introduction to NoSQL º Communication Models º Difference between a RDBMS and a NoSQL º Resource Management database º Registration, Discovery º Understanding the Storage Architecture º Data Exchange Formats - XML & JSON º Working with Column‐Oriented Databases º Integration with Web º HBase Distributed Storage Architecture º Web Services, WSDL º Document Store Internals º SOA vs ROA,SOAP vs REST º Schema structure for Oracle NoSQL database º MQTT Protocol º Changing Document Databases º RESTFul Architecture º Schema Evolution in Column‐Oriented Databases º HTTP REST Model º HBase Data Import and Export º CoAP Protocol º Data Evolution in Key/Value Stores º CoAP Protocol º Time Series Data Model(Using º Protocol Interoperability,Bridging InfluxDb,OpenTSDB,KairosDB or similar one) º Convergence of CoAP, HTTP, MQTT etc. º Installation º Example – Eclipse Ponte Bridge º Using shell,web console,HTTP APIs º Security In Protocols º Time Series Data Model º Gateway Design º Query Language º OSGi Architecture,Services º Write Protocols º OSGi Implementations for IOT – Case Study º Time Series Data Model º Websockets as transport layer º Continuous Queries º Overview of other protocols º Downsampling data AMQP º Retention Policies XMPP º Time Series Data Model WebRTC º SDKs, APIs for talking to database º Visualizing time series data, eg:-using grafana º Data Analytics (Using ApacheSpark,InfluxData TICK 7.
Load more

Recommended publications
  • 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]
  • 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]
  • 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]
  • Wireless Sensor Network Implementation Using MIWI Wireless Protocol Stack Suman Chhajed Md.Sabir .M.Tech
    Volume 4, No. 11, Nov-Dec 2013 ISSN No. 0976-5697 International Journal of Advanced Research in Computer Science RESEARCH PAPER Available Online at www.ijarcs.info Wireless Sensor Network Implementation using MIWI Wireless Protocol Stack Suman Chhajed Md.Sabir .M.Tech. Student, Department of ECE, GITS-Udaipur Asst. Prof., Department o fECE, GITS-Udaipur [email protected] [email protected] Abstract: This Paper is to design full functional nodes and to deploy wireless sensor network for Industrial parameter monitoring. Sensor nodes acquire the physical variable from field and wirelessly transmit to central master node for acquisition, monitoring, analysis and storage. The resulting designed product could form a reliable support for transferring data between nodes and a computer. A most important stage of this thesis work is to develop sensor nodes for collecting sensor data and acquires data on master node which has MIWI wireless protocol stack. I. INTRODUCTION Wireless Sensor Network (WSN) is a promising data mining solution of industrial wireless data network. Instrumented with wireless sensors, it will become available to monitor the plants in real time, such as air temperature, soil water content, and nutrition stress. The real time information of the fields will provide a solid base to adjust strategies at any time. WSN will revolutionize the data collection in industrial research. However, there have been few researches on the applications of WSN for industrial wireless network. This work was focused on the investigation of wireless sensor networks in industrial Figure.1. Wireless Sensor Network Model applications. The datasets were obtained from experiments. A.
    [Show full text]
  • A Self-Organized Wireless Sensor Network (WSN) for a Home-Event Managed System
    A Self-organized Wireless Sensor Network (WSN) for a Home-event Managed System Design of a cost efficient 6LoWPAN-USB Gateway with RFID security Sergio A. Floriano Sanchez sergiofl[email protected] June 29, 2015 Supervisor: Mark Smith. School of Information and Communication Technology Royal Institute of Technology Stockholm, Sweden Abstract Wireless Sensor Networks (WSN) have existed for many years in industry applications for different purposes but their use has not been fully extended to the global consumers. Sensor networks have lately resulted to be greatly helpful to people in everyday life, specially in home automation applications for monitoring events, security, and control of devices and different elements in the house by using actuators. One of the main barriers to overcome in order to increase their popularity and achieve an worldwide deployment are costs and integration within other networks. This Thesis investigates the most appropriate choices to avoid those impediments from a hardware and software design perspective, trying to find a cost-efficient solution for the implementation of a simple and scalable wireless sensor network. The present work studies the elements that form part of a constrained network and focuses on the design by analysing several network protocol alternatives, radio transmission mechanisms, different hardware devices and software implementations. Once an optimal solution is found, the construction of a gateway board that starts and coordinates a sensor network will be the main target of this document including the development of an application that manages the sensors. The network is designed to be compliant with the TCP/IP stack by means of 6LoWPAN, an adaptation layer protocol used for comprising IPv6 headers over IEEE 802.15.4 radio links in constrained networks.
    [Show full text]
  • Microchip Miwi P2P Wireless Protocol
    AN1204 Microchip MiWi™ P2P Wireless Protocol This application note assumes that readers know C Author: Yifeng Yang programming. However, it also recommends that Microchip Technology Inc. readers review the IEEE 802.15.4 specification and Microchip MiMAC/MiApp interfaces before starting this application note or working with the MiWi P2P wireless INTRODUCTION protocol. The demand is growing for more and more applications to move to wireless communication. Protocol Overview The benefits are reduced costs and ease The MiWi P2P protocol modifies the IEEE 802.15.4 implementation. Wireless communication does not specification’s Media Access Control (MAC) layer by require cabling and other hardware, and the associated adding commands that simplify the handshaking installation costs. It also can be implemented in locations process. It simplifies link disconnection and channel where installing cable is difficult. hopping by providing supplementary MAC commands. Since the IEEE released the Wireless Personal Area However, application-specific decisions, such as when Network (WPAN) specification (IEEE 802.15.4™) in to perform an energy detect scan or when to jump 2003, it has become the real industry standard for low- channels, are not defined in the protocol. These issues rate WPANs (LR-WPAN). The specification applies to are left to the application developer. low data rate applications with low-power and low-cost requirements. Protocol Features Microchip MiWi™ P2P Wireless Protocol is one of the wireless protocols that are supported in MiWi The MiWi P2P Wireless Protocol has the following Development Environment (DE). It is a variation of features: IEEE 802.15.4, using Microchip’s IEEE 802.15.4 • Operates on Microchip PIC18, PIC24, dsPIC33 compliant and other proprietary RF transceivers, which and PIC32 platforms are controlled by Microchip 8, 16 or 32-bit • Supports Microchip C18, C30 and C32 compilers microcontroller with a Serial Peripheral Interface (SPI).
    [Show full text]
  • Miwi™ Wireless Networking Protocol for Low-Cost Embedded Wireless Connectivity for Commercial and Smart Home Networks
    Wireless MiWi™ Wireless Networking Protocol For Low-Cost Embedded Wireless Connectivity for Commercial and Smart Home Networks Summary Developed to enable low-cost, commercial and smart home networks, MiWi� Protocol is Microchip’s compact, royalty-free wireless protocol designed for 802.15.4 networks. The MiWi protocol stack offers a significantly smaller footprint relative to the open standard-based zigbee® compliant protocol stack. This enables operation in microcontrollers with smaller MiWi™ memory/lower cost. A typical end node requires only 20 KB of code space. MiWi protocol enables P2P, Star and an efficient, self-healing mesh network that is a true Routing Mesh versus a flood mesh. MiWi -pro tocol is a scalable and reliable network with support for several transceivers including the single-chip SAM R21 and SAM R30 System in a Package (SiP). The MiWi protocol is used in applications such HVAC systems and alarm sensors where reliable self-healing mesh networking is needed. Microchip’s MiWi Mesh Stack is now available for Atmel Studio 7, the Integrated Development Platform (IDP) for developing and debug- ging all AVR® and SAM microcontroller applications. The Atmel Studio 7 IDP gives you a seamless and easy-to-use environment to write, build and debug your applications written in C/C++ or assembly code. Atmel Studio 7 is available at: www.microchip.com/avr-support/atmel-studio-7 and the MiWi Mesh code is part of the latest Advanced Software Framework (ASF) release for Studio, available at: www.microchip.com/avr-support/advanced-software-framework-(asf).
    [Show full text]
  • Low-Complex Synchronization Algorithms for Wireless Sensor Networks
    LOW-COMPLEX SYNCHRONIZATION ALGORITHMS FOR WIRELESS SENSOR NETWORKS 1 2 R. Poornachandran , V.Sivasankaran 1PG Scholar, 2Assistant Professor, Communication Systems, Arunai college of Engineering, Tiruvannamalai, Tamilnadu (India) ABSTRACT In industrial applications of wireless sensor networks (WSNs), synchronized sampling of data on each sensor node is often required. Thus, the wireless communication protocol needs to support accurate timing synchronization. If due to a high sampling rate also high data throughput is required, WSNs based on the IEEE 802.15.4 physical layer often do not provide sufficient data rate. Wireless communications based on the well established IEEE 802.11 wireless local area network (WLAN) standard provides high data throughput but not an accurate timing synchronization unless the protocol stack is severely changed. We propose two low-complexity hybrid WSN introduced, which are executable at limited embedded computing capacity, e.g., on an 8 bit microcontroller. A time division multiple access-based synchronization packet broadcasting with three-step-controlled or proportional- integral (PI)-controlled clock adjustment enables 1 kHz sensor sampling rate with a sampling jitter <15 μs for the three-step-controlled synchronization algorithm and <1 μs for the PI-controlled algorithm. Keywords: Hybrid WSN, TDMA, Data Rate and Data Throughput I.INTRODUCTION The WSN is built of "nodes" – from a few to several hundreds or even thousands, where each node is connected to one (or sometimes several) sensors. Each such sensor network node has typically several parts: a radio transceiver with an internal antenna or connection to an external antenna, a microcontroller, an electronic circuit for interfacing with the sensors and an energy source, usually a battery or an embedded form of energy harvesting.
    [Show full text]