IOT Programming – Advance your system programming, embedded systems, and application development career by learning IOT programming.
IOT programming language is important because of its efficiency, portability, compatibility, and its role as a foundation for learning other programming languages.
This course covers everything from concept to visualization to implementation.
Learn about efficiency, portability, compatibility, and why programming in IOT is known as a foundation for learning other hardware and software designs.
This module is part of the PG Diploma in Internet of Things – IoT
Course Name: “Crash Course on Internet of Things”
Duration – 10 Days
No. Of hours per day – 4 hours
Total No of hours – 40
Pre- and post-assessment – YES
Project – YES
Course completion certificate – YES
Pre-Requisite – Basic understanding of IOT Programming
The Internet of Things (IoT) is a transformative concept that refers to the network of interconnected devices and objects where data can be collected, exchanged, and analyzed. In simple terms, IoT involves connecting devices (such as sensors, actuators, and everyday objects) to the internet, allowing them to communicate and interact with each other autonomously. This connectivity enables the seamless transfer of data and the ability to remotely monitor and control physical objects from anywhere in the world. The potential applications of IoT are vast and span various industries, including healthcare, transportation, agriculture, manufacturing, and smart homes. By leveraging IoT, organizations can optimize processes, improve efficiency, enhance decision-making, and deliver innovative services and experiences. However, along with its benefits, IoT also presents challenges such as data security, privacy, and interoperability. As IoT continues to evolve, with advancements in technologies like artificial intelligence and edge computing, it is poised to revolutionize the way we live and work, driving digital transformation and creating a more connected and intelligent world.
Components of IOT
The core components of an IoT system include sensors, gateway, connectivity, cloud, analytics, and user interface. A sensor is a device that converts non-electrical quantities into electrical quantities. This includes temperature sensors, LDRs (light-dependent resistors), and more. Gateway is a network connection between the layers of the system and the cloud to prevent unauthorized access to the cloud. Connectivity helps in IoT, as the data collected by the sensors must be uploaded into the cloud for analysis. Data requires the internet to be transferred between devices. For this purpose, Bluetooth Zigbee devices are used. IoT systems transmit large amounts of data from devices that must be managed effectively in order to produce meaningful output. The IoT cloud is a platform that provides tools for collecting, processing, and storing data. Analytics is the process of transforming raw data into a form that is meaningful to the user. IoT analytics provides real-time monitoring of changes and irregularities, and the data is converted into formats that are easily understandable by the user.
Types of IOT
Arduino
Arduino is an open-source hardware and software platform for designing and building electronic gadgets. It creates microcontroller kits and single-board interfaces for use in electronic projects. Arduino boards are composed of a combination of analog and digital input/output (I/O) pins. These pins are connected to breadboard and expansion boards, as well as other circuits. These boards are equipped with a model, a universal serial bus (USB) connection, and a serial communication interface, which is used to load programs from the computer.
Nodemcu
NodeMCU is a system-on-a-chip (Soc) that is based on the IEEE 802.11a/4a (Esperessif) 802.11c (Ethernet 802.11b/g/n/ac) Wi-Fi system-on-chip. This chip is based on the open-source Lua-based firmware. It is ideal for Internet of Things (IoT) projects, particularly other Wireless connectivity projects, as the Arduino does not operate wirelessly. To use the NodeMCU, it must be connected to either Bluetooth or an NRF module. This chip has many similarities with the Arduino, both of which are micro-controllers equipped with a prototyping board that can be programmed with the Arduino IDE. However, the ESP8266 is newer and more up-to-date than the Arduino and thus has more robust specifications.
Exciting career opportunities: IoT is a rapidly growing field with immense career potential. By learning IoT, you open yourself up to a wide range of job opportunities in industries such as healthcare, manufacturing, agriculture, smart cities, and more.
Integration of multiple technologies: IoT involves the integration of various technologies such as sensors, actuators, cloud computing, data analytics, and artificial intelligence. Learning IoT helps you gain knowledge and skills in these areas, making you proficient in working with diverse technologies.
Automation and efficiency: IoT enables automation and optimization of processes in various domains. By connecting devices and collecting real-time data, IoT allows for efficient monitoring, control, and analysis, leading to improved productivity and cost savings.
Innovative projects and solutions: IoT provides a platform to create innovative projects and solutions to real-world problems. By combining hardware, software, and connectivity, you can develop smart devices, wearable technology, home automation systems, and more, contributing to a smarter and more connected world.
Data-driven decision-making: With IoT, large volumes of data can be collected and analyzed in real time. This data-driven approach provides valuable insights for businesses and organizations in making informed decisions, optimizing operations, and improving customer experiences.
Enhanced connectivity and communication: IoT connects devices, sensors, and people, enabling seamless communication and interaction. By learning IoT, you understand protocols and technologies for effective connectivity and communication, leading to smarter devices and systems.
Improved quality of life: IoT applications in healthcare, smart homes, and wearable devices have the potential to enhance the quality of life. By monitoring health conditions, providing smart assistance, and enabling personalized experiences, IoT contributes to a safer, healthier, and more convenient living environment.
Contribution to a sustainable future: IoT can play a crucial role in building sustainable solutions. By optimizing energy usage, managing resources efficiently, and reducing waste, IoT helps create a more sustainable and eco-friendly world.
By learning IoT one can do control and automation with internet-connected devices such as air conditioners are all assisted with voice assistant. It provides real-time access information in which the data speed rate is high. The cost is economical and improves high productivity. It also involves health and safety. Efficiency and automation IoT devices can automatically turn off lights or adjust thermostats based on your needs, saving you time and money. Data collection and analysis IoT gadgets can collect and send data on a wide range of topics, such as weather, traffic, and more. This data can then be analyzed and used to make better decisions and predictions. Connectivity can help you stay connected to your loved ones or monitor your property from any location. It can also help you save money by reducing human intervention, improving energy efficiency, and providing proactive maintenance of your equipment.
With the Internet of Things – IoT, being a rapidly growing field, the possibilities for employment are expanding across various industries, from retail and consumer electronics to environmental monitoring, automotive, agriculture, Industrial automation, healthcare, and smart homes. The demand for IoT professionals is expected to continue to grow in the coming years.
IoT Developer: An IoT Developer designs, develops, and maintains software applications that enable devices to connect and exchange data over the Internet. They develop and maintain the underlying infrastructure, security protocols, and application frameworks. They are often educated in computer science or engineering.
IoT Solution Architect: An IoT Solution Architect designs and manages end-to-end IoT solutions for businesses. They oversee the development of IoT architectures and provide guidance on the selection, integration, and deployment of IoT components. They need to have strong technical skills, as well as business skills to understand and address client requirements.
IoT Data Scientist: An IoT Data Scientist collects, manages, and analyzes data from IoT devices. They use their skills in data analysis to ensure that the data generated from IoT devices are properly analyzed and interpreted to help businesses make informed decisions. They typically develop mathematical models to analyze data and extract insights.
IoT Security Specialist: An IoT Security Specialist is responsible for the security of IoT devices, protecting against any unauthorized access, data breaches, or other cyberattacks. They typically design and implement security protocols and strategies to ensure that IoT devices are secure and protected against any security threats.
IoT Product Manager: An IoT Product Manager is responsible for the development and successful launch of IoT products. They are responsible for defining the product strategy, managing the development process, and ensuring that the product meets customer needs. They typically have a strong technical background and experience in project management.
Smart Home Automation: IoT devices can automate various aspects of the home, such as lighting, security systems, thermostats, and appliances. Users can control and monitor these devices remotely using smartphones or voice assistants.
Industrial Automation: IoT is used in industries to optimize processes, monitor equipment, and enable predictive maintenance. Sensors and connected devices can collect real-time data about machines, enabling proactive maintenance and reducing downtime.
Healthcare Monitoring: IoT devices are used for remote patient monitoring, allowing healthcare providers to gather vital signs and health data from patients in real-time. This helps with preventive care, remote consultations, and efficient healthcare management.
Smart Cities: IoT is used to make urban areas more efficient and sustainable. Smart city applications include smart traffic management, waste management, street lighting, parking systems, and environmental monitoring.
Agriculture and Farming: IoT is used in agriculture to optimize crop management and increase productivity. Sensors and automation technologies help monitor and control factors such as soil moisture, temperature, humidity, and crop growth, leading to improved yields.
Energy Management: IoT devices enable better management of energy consumption in buildings and cities. Smart meters and sensors can monitor energy usage, allowing users to make informed decisions and optimize energy efficiency.
Asset Tracking and Supply Chain Management: IoT enables real-time tracking and monitoring of assets, goods, and inventory. This improves supply chain efficiency, reduces losses, and provides valuable insights into logistics operations.
Environmental Monitoring: IoT sensors are used for monitoring air quality, water quality, noise levels, and weather conditions. This data helps in identifying pollution sources, improving resource management, and responding to environmental challenges.
Smart Retail: IoT is used in retail environments to enhance customer experiences and optimize operations. Examples include smart shelves, beacons for personalized marketing, and inventory management systems that automate stock replenishment.
Wearable Devices and Fitness Tracking: IoT is revolutionizing the fitness and wellness industry. Wearable devices such as fitness trackers and smartwatches collect data on physical activity, sleep patterns, heart rate, and more, helping users monitor and improve their health.
Absolutely! While a technical background can be advantageous when learning IoT, it is not an absolute requirement. IoT encompasses a wide range of skills and knowledge, including electronics, programming, networking, and data analytics. As a non-technical background learner, you can start by gaining a foundational understanding of these concepts through online courses, workshops, or tutorials. With dedication and persistence, you can learn the necessary skills and gradually build your expertise in IoT. Focus on acquiring practical skills, exploring hands-on projects, and collaborating with others in the field. Networking with professionals, attending IoT events, and participating in online communities can also provide valuable insights and guidance. With a strong learning mindset and an eagerness to explore, you can successfully embark on a career in IoT, regardless of your technical background.
As a fresher, there are many exciting career opportunities in the growing field of IoT. You could work as an IoT developer designing sensors, devices, and software for connected products1. There are also roles in IoT networking and security, setting up and managing the infrastructure that connects IoT devices1. You could work as an IoT consultant, helping businesses implement IoT solutions1. There are also opportunities in IoT data analytics and machine learning, using data from connected devices to gain insights and optimize processes1. As IoT continues to expand into more industries and applications, new roles and specializations will emerge for professionals with the right skills and experience1. With the right training and experience, you can carve out a niche for yourself in this booming sector as an IoT engineer, architect, specialist, or expert1. The possibilities are vast as more and more everyday objects become connected to the internet1.
Software Defined Network (SDN) is the most recent development in network management. It facilitates network management by unifying the control plane and data plane, with the data plane utilizing the forwarding tables created by the controller to forward messages, known as Web-packets.
Software Defined Network (SDN) is the most recent development in network management. It facilitates network management by unifying the control plane and data plane, with the data plane utilizing the forwarding tables created by the controller to forward messages, known as Web-packets.
SD-WAN is a software-defined wide area network (WAN) architecture that simplifies the IT infrastructure for controlling, managing, and exchanging data. This virtual WAN architecture creates a secure connection between users and their applications. To put it another way, it is an emerging technology that creates an overlay network for the WAN that replaces the traditional branch routers, thus streamlining the WAN infrastructure.
M2m stands for machine-machine IoT. Machine-to-Machine (M2M) connectivity offers fast, reliable internet access from anywhere at any time. It operates both indoors and outdoors. Multiple M2M gateway connections connect M2M devices to a network domain. Personal Area Network (PAN) and Local Area Network (LAN) technologies are two of the M2M areas of service. Sensors, Radio Frequency Identification (RFID), Wi-Fi (Wi-Fi) or cellular communications lines, and Autonomic Computing Software (ACS) configured to help a network are the essential components of an M2M network. device in interpreting data and making decisions. This M2M application translates the data into a pre-programmed set of automated actions. The primary purpose of the sensor data is to be transmitted to a network.
AWS-amazon web services. Amazon Web Services (AWS) IoT is the cloud service that links your IoT devices together with other devices and the AWS cloud. AWS IoT has device software that helps you get your IoT devices integrated into the AWS cloud. If your IoT devices can link up with AWS IoT, then AWS IoT can link them up with the cloud services AWS provides. Cloud services are services that store and process large amounts of data that are connected to the Internet. AWS IoT is one example of a cloud service that connects IoT devices to the cloud.
IoT is a rapidly developing technology that allows users to interact with other devices remotely. Utilizing IoT technology with a Raspberry Pi allows for convenient and cost-effective access to other devices remotely, which is highly beneficial. The Raspberry Pi is a powerful controller that can be used for a variety of applications, such as intelligent energy monitoring, intelligent home appliances, and face recognition systems for door lock systems.
The Blynk framework is an open-source platform for iOS and Android smartphones that enables them to control hardware via the Internet, such as Arduinos, Raspberry Pis, and NodeMCUs. This platform is designed to facilitate the creation of graphical interfaces or human-machine interfaces (HMI), which are compiled and provided to the corresponding address on the widgets available. Blynk is capable of controlling hardware remotely, displaying sensor data, storing data, and visualizing it, among other features. The platform is composed of three main components: Blynk App, which allows users to create custom interfaces for their projects, Blynk Server, which is responsible for the communication between the phone and hardware, and Blynk Libraries, which enable communication between the server and incoming and outgoing commands.
6LoWPAN is a protocol for implementing IPv6 communication over Low-Power Wireless Personal Area Networks (LPWPNs). It includes packet compression and other optimization features to facilitate the efficient transfer of IPv6 packets over a low-power wireless network, allowing for reliable and efficient IPv6 communication. This protocol is composed of Edge Routers and Sensor Nodes, allowing for the integration of even the smallest Internet of Things (IoT) devices into a network, and the transmission of information to the external world.ex: led streetlights
It is a point to multi-point protocol. The Communication Protocol and System Architecture for the Network defined by Lora Wan defines the Communication Protocol and Network Architecture for the Network. A cellular network is the closest analogy to the Lora Wan network. A Lora based device has a module that interfaces with a Gateway, which is the local central location of the network. Think of how your mobile phone transmits and receives data through a cellular tower. The Gateway acts as a communication channel between the device(s) and the server(s). The network server talks with the gateway over the internet and instructs it to engage with IoT devices.
Cayenne, a popular Internet of Things (IoT) platform, facilitates the rapid creation and hosting of connected devices on the Internet without the need for extensive programming. Initially, it was limited to the Raspberry Pi platform, however, it now supports the use of other controllers, such as the Arduino. The platform’s features include the Cayenne App, which allows users to remotely control their IoT projects by dragging and dropping widgets from an application. Additionally, the Cayenne online dashboard is used to set up and manage IoT projects, while the Cayenne Cloud stores and processes device data. Finally, the Cayenne Agent facilitates communication with servers, agents, and hardware for the implementation of inbound and outbound operations.
Predix is a GE (General Electric) software platform for collecting data from industrial instruments. Predix is a cloud-based platform as a service (PaaS) that enables industrial-level analytics for operations optimization and performance management. Predix connects data, people, and equipment in a standardized manner. Predix was built with factories in mind, giving their ecosystems the same easy-to-use functionality as operating systems that revolutionized mobile phones.
At its core, ThingSpeak is an IoT Cloud platform that enables sensor data to be sent to the cloud and analyzed and visualized with MATLAB and other software, as well as the ability to create its own applications. The service is powered by MathWorks and is free for non-commercial, small-scale projects. To sign up for the service, users must either create a new Matlab Account or log into their existing Matlab Account. The Web Service, known as the REST API, enables the collection and storage of sensor data in a cloud environment, allowing for the development of Internet of Things (IoT) applications. ThingSpeak is compatible with a variety of programming languages, using a combination of the REST API and the HTTP protocol. It is designed to work with both Arduino and Raspberry Pi, as well as MATLAB.
