Lecture 1 - Introduction to IoT
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This document provides an introduction to the Internet of Things (IoT). It discusses that IoT allows us to receive more data, control devices remotely, and automate processes. The IoT ecosystem consists of sensors that collect data, local processing and storage, a network to transmit data, cloud computing for storage and analysis. Early IoT projects used microcontrollers like Arduino and full computers like Raspberry Pi. Common IoT hardware now includes a variety of boards and modules. Software is used for prototyping, professional programming, and collecting/analyzing data from IoT devices.
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Introduction to the Internet of Things
This document provides an introduction to the Internet of Things. It outlines that IoT allows for collecting more data from sensors, controlling devices remotely, and automating processes. The document discusses how IoT started with early microcontrollers like Arduino and has expanded to include various hardware options. It also examines the software used for prototyping, professional programming, data storage and analysis, and building complete IoT solutions. Key components of IoT include sensors, local processing and storage, networks, cloud processing and storage. A variety of hardware and software options exist to enable IoT applications.
Introduction to IoT Architectures and Protocols
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
Internet of things ppt
The document discusses the Internet of Things (IoT). IoT is a concept that considers objects in the environment that can connect wirelessly and interact with each other to create new applications and services. The goal of IoT is to enable anything to connect anytime and anywhere using any network. Key IoT technologies include communication protocols, hardware, software, data platforms, and machine learning. Sensors, connectivity, and integrating data with people and processes enable smart systems and IoT.
Protocols for IoT
This document provides a high-level overview of protocols for the Internet of Things (IoT). It discusses some of the key challenges for IoT including scalability, configurability, interoperability, discovery, and security. It then reviews several common IoT protocols, including HTTP, WebSockets, MQTT, CoAP, and mentions others like AMQP and XMPP. For each protocol, it summarizes their purpose, model (e.g. publish-subscribe vs client-server), efficiency considerations, and role in the protocol stack. It emphasizes that existing protocols like MQTT and CoAP are preferable to reinventing the wheel for IoT.
IoT ecosystem
What IoT Is ?
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IoT Architecture
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Development Board
IoT Cloud Platform
IoT prediction
IoT Challanges
Cloud, Fog & Edge Computing
Congresso Sociedade Brasileira de Computação CSBC2016 Porto Alegre (Brazil)
Workshop on Cloud Networks & Cloudscape Brazil
Sergio Takeo Kofuji, Assistant Professor at the University of São Paulo, Coordinator to FI WARE LAB in University of São Paulo, Brazil
The European Commission, in a recent communication (April 19th), has identified 5G and Internet of Things (IoT) amongst the ICT standardisation priorities for the Digital Single Market (DSM). This session will discuss the emergence of the mobile edge computing paradigm to reduce the latency for processing near the source large quantities of data and the need of the emerging 5G technology to satisfy the requirements of different verticals. Mobile Edge Clouds have the potential to provide an enormous amount of resources, but it raises several research challenges related to the resilience, security, data portability and usage due to the presence of multiple trusted domains, as well as energy consumption of battery powered devices. Large and centralized clouds have been deployed and have shown how this paradigm can greatly improve performance and flexibility while reducing costs. However, there are many issues requiring solutions that are user and context aware, dynamic, and with the capability to handle heterogeneous demands and systems. This is a challenge triggered by the Internet of Things (IoT) scenario, which strongly requires cloud-based solutions that can be dynamically located and managed, on demand and with self-organization capabilities to serve the purposes of different verticals.
Mobile Edge Computing
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AWS for IoT
This document provides an overview of AWS IoT services including key features and use cases. It discusses the AWS IoT message broker which supports standard protocols like MQTT to securely connect millions of devices. It also describes the rules engine which can transform messages and route them to other AWS services, thing shadows for persistent device states, and the device registry for identity management. Example use cases are given across various industries like healthcare, smart homes, manufacturing, and more.
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Introduction to the Internet of Things
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The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
Internet of things ppt
The document discusses the Internet of Things (IoT). IoT is a concept that considers objects in the environment that can connect wirelessly and interact with each other to create new applications and services. The goal of IoT is to enable anything to connect anytime and anywhere using any network. Key IoT technologies include communication protocols, hardware, software, data platforms, and machine learning. Sensors, connectivity, and integrating data with people and processes enable smart systems and IoT.
Protocols for IoT
This document provides a high-level overview of protocols for the Internet of Things (IoT). It discusses some of the key challenges for IoT including scalability, configurability, interoperability, discovery, and security. It then reviews several common IoT protocols, including HTTP, WebSockets, MQTT, CoAP, and mentions others like AMQP and XMPP. For each protocol, it summarizes their purpose, model (e.g. publish-subscribe vs client-server), efficiency considerations, and role in the protocol stack. It emphasizes that existing protocols like MQTT and CoAP are preferable to reinventing the wheel for IoT.
IoT ecosystem
What IoT Is ?
IoT Applications
IoT Architecture
IoT Protocol
Development Board
IoT Cloud Platform
IoT prediction
IoT Challanges
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Congresso Sociedade Brasileira de Computação CSBC2016 Porto Alegre (Brazil)
Workshop on Cloud Networks & Cloudscape Brazil
Sergio Takeo Kofuji, Assistant Professor at the University of São Paulo, Coordinator to FI WARE LAB in University of São Paulo, Brazil
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Mobile Edge Computing
Mobile edge computing (MEC) enables cloud computing capabilities and IT services at the edge of cellular networks. It addresses the long data paths and lack of determinism in quality of service (QoS) of traditional centralized architectures by relocating applications and services to the edge. This allows for campus area coverage, deterministic QoS, high availability, strong security and seamless mobility needed for demanding industrial Internet of Things (IoT) applications. The document discusses approaches like hybrid networks that separate control and user planes, as well as private LTE networks controlled by enterprises. It also highlights examples like Vodafone's 5G mobility lab demonstrating uses of MEC for areas like smart intersections and vehicle communications.
AWS for IoT
This document provides an overview of AWS IoT services including key features and use cases. It discusses the AWS IoT message broker which supports standard protocols like MQTT to securely connect millions of devices. It also describes the rules engine which can transform messages and route them to other AWS services, thing shadows for persistent device states, and the device registry for identity management. Example use cases are given across various industries like healthcare, smart homes, manufacturing, and more.
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The document discusses various protocols and security aspects related to IoT. It provides details on protocols such as IEEE 802.15.4, BACnet, Modbus, KNX, Zigbee etc. It also outlines vulnerabilities in IoT like unauthorized access, information corruption, DoS attacks. Key elements of IoT security discussed are identity establishment, access control, data security, non-repudiation and availability. Security requirements and models for IoT are also mentioned.
Internet of things (IoT)
The document provides an overview of the Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors, software and network connectivity that enables them to collect and exchange data. The document discusses what types of physical and virtual things can be connected in an IoT system and how they can collect and share data. It also examines common communication protocols used in IoT like UART, SPI, I2C and CAN that allow different devices to connect and exchange information over a network.
M2M vs IoT: The Key Differences and Similarities
Machine to machine (M2M) is a broad label that can be used to describe any technology that enables networked devices to exchange information and perform actions without the manual assistance of humans.
Primarily M2M and IoT are similar in upper layer such as hardware, networking or devices. But they differ in system architecture, types of applications and underlying Technologies.
This will be helpful for GTU IOT subject course understanding too!
If you like the video please subscribe to our channel and turn notifications on for future videos.
Follow us on:
Website: http://www.edtechnology.in/
Instagram: https://www.instagram.com/ed.tech/
Facebook: https://www.facebook.com/Edtech18/
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1) Defining IoT as physical objects connected to the internet via sensors and controllers.
2) The importance of usability (UI/UX design) and designing for both physical appearance and logical functionality.
3) Approaches like "calm technology" that engages users' peripheral attention in a subtle rather than obtrusive way.
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The document discusses the architecture of the Internet of Things (IoT). It describes the IoT as a network of physical objects embedded with sensors that can collect and exchange data. The document outlines the history and development of IoT and describes its layered architecture which includes device, network, service, and application layers. It provides examples of current and potential IoT applications in various sectors and discusses security and privacy issues regarding connected devices.
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The document discusses Internet of Things (IoT) and provides an overview in three main points:
1. IoT involves connecting physical objects/things to the internet so they can communicate and transfer data without human interaction. This allows the objects to collect and share information.
2. Current trends show efforts to connect 26 billion objects by 2020, with healthcare, transportation and manufacturing leading the way. Common communication methods for connecting objects include WiFi, Bluetooth, and Zigbee.
3. IoT provides benefits like real-time analytics and control, but also faces challenges regarding security, adoption rates, compatibility and power constraints. Main application areas include home automation, smart cities, manufacturing and automotive.
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The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
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The document discusses various protocols and security aspects related to IoT. It provides details on protocols such as IEEE 802.15.4, BACnet, Modbus, KNX, Zigbee etc. It also outlines vulnerabilities in IoT like unauthorized access, information corruption, DoS attacks. Key elements of IoT security discussed are identity establishment, access control, data security, non-repudiation and availability. Security requirements and models for IoT are also mentioned.
Internet of things (IoT)
The document provides an overview of the Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors, software and network connectivity that enables them to collect and exchange data. The document discusses what types of physical and virtual things can be connected in an IoT system and how they can collect and share data. It also examines common communication protocols used in IoT like UART, SPI, I2C and CAN that allow different devices to connect and exchange information over a network.
M2M vs IoT: The Key Differences and Similarities
Machine to machine (M2M) is a broad label that can be used to describe any technology that enables networked devices to exchange information and perform actions without the manual assistance of humans.
Primarily M2M and IoT are similar in upper layer such as hardware, networking or devices. But they differ in system architecture, types of applications and underlying Technologies.
This will be helpful for GTU IOT subject course understanding too!
If you like the video please subscribe to our channel and turn notifications on for future videos.
Follow us on:
Website: http://www.edtechnology.in/
Instagram: https://www.instagram.com/ed.tech/
Facebook: https://www.facebook.com/Edtech18/
security and privacy-Internet of things
based on ieee paper on Security and Privacy in the Internet of Things:
Current Status and Open Issues
The internet of things.pptx
The document discusses the Internet of Things (IoT). It provides examples of IoT devices like smart homes, smart locks, and smart mirrors. It outlines advantages like convenience, tracking capabilities, and cost savings. Disadvantages include lack of compatibility standards, complexity, privacy/security risks, and potential safety issues if devices are hacked. Finally, it briefly profiles several IoT companies like ARM, Bosch, and Ericsson that are helping enable the connection of billions of devices through sensors and networking.
IOT - Design Principles of Connected Devices
The document discusses key concepts in Internet of Things (IoT) design including:
1) Defining IoT as physical objects connected to the internet via sensors and controllers.
2) The importance of usability (UI/UX design) and designing for both physical appearance and logical functionality.
3) Approaches like "calm technology" that engages users' peripheral attention in a subtle rather than obtrusive way.
Data Analytics for IoT
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
Overview of IoT and Security issues
Internet of Things (IoT) will enable dramatic society transformation. This seminar presents an introduction to the IoT and explains why IoT Security is important.
Then it presents security issues in wireless sensor networks that constitute a main ingredient of IoT.
Seminar given at Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) on 28 January 2015.
Internet of things using Raspberry Pi
Concept of Internet Of Things.Design of Prototype Using Raspberry Pi and Xbee Technology.Future Application Of Internet Of things.
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The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
Infrastructure as a Service ( IaaS)
Infrastructure as a Service ( IaaS) is one of the three fundamental services in cloud computing. IaaS provides access to basic computing resources such as hardware- processor, storage , network cards and more
Iot architecture
The document discusses the architecture of the Internet of Things (IoT). It describes the IoT as a network of physical objects embedded with sensors that can collect and exchange data. The document outlines the history and development of IoT and describes its layered architecture which includes device, network, service, and application layers. It provides examples of current and potential IoT applications in various sectors and discusses security and privacy issues regarding connected devices.
IoT Communication Protocols
This slide features the list of communication protocols that are suitable for Internet of things. It features from http to CoAP
Edge Computing.pdf
Edge computing is a distributed computing model that brings computation and data storage closer to IoT devices and sensors at the edge of the network. This helps address issues like high latency, large data volumes, reliability, and data sovereignty with cloud computing. Key concepts of edge computing include real-time processing with low latency, geographic distribution, reliability, data sovereignty, and support for IoT. Edge computing architectures use devices like routers, switches, gateways, and edge clouds to process and store data locally while still connecting to centralized cloud resources when needed. Fog computing provides an intermediate layer between edge and cloud to help address issues around scalability, latency, and resource management.
Fog computing in IoT
Fog computing in IoT,
How fog overcomes the drawbacks of clouds?
How its handle high data gravity of Internet of Things?
Why we need fog computing?
Introduction to IOT
The document discusses Internet of Things (IoT) and provides an overview in three main points:
1. IoT involves connecting physical objects/things to the internet so they can communicate and transfer data without human interaction. This allows the objects to collect and share information.
2. Current trends show efforts to connect 26 billion objects by 2020, with healthcare, transportation and manufacturing leading the way. Common communication methods for connecting objects include WiFi, Bluetooth, and Zigbee.
3. IoT provides benefits like real-time analytics and control, but also faces challenges regarding security, adoption rates, compatibility and power constraints. Main application areas include home automation, smart cities, manufacturing and automotive.
Overview of computing paradigm
It Includes:
Recent trends in Computing : Grid Computing, Cluster Computing;Distributed Computing;Utility Computing;Cloud Computing
Fog Computing
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
Business models for business processes on IoT
The document discusses business models for business processes on the Internet of Things. It covers key topics like IoT applications, business models, value creation using IoT, and business model scenarios for IoT. Business models need innovation to adapt to new customer access and interactions enabled by technologies like cloud computing and mobile communications. Value is created on IoT through addressing emergent needs, information convergence, and recurrent revenue from networked products. Example business model scenarios for IoT leverage data from multiple sources like sensors, M2M, and open data.
FOG COMPUTING
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks.
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This document proposes a system called proxy-oriented data uploading and remote data integrity checking using identity-based public key cryptography (ID-PUIC) to address security issues in public cloud storage. The system allows a user to designate a proxy to upload data to the cloud on their behalf and check the integrity of the remotely stored data without downloading it. The proposed ID-PUIC protocol uses cryptographic techniques like key generation, encryption, and decryption to securely upload data from proxies, detect malware, and verify data integrity in a private or public manner depending on the user's authorization. The system aims to improve security, efficiency and flexibility compared to existing public key infrastructure approaches for remote data integrity checking and proxy-based data uploading in public
Survey on Lightweight Secured Data Sharing Scheme for Cloud Computing
This document summarizes a proposed lightweight secured data sharing scheme for cloud computing. It discusses issues with securely sharing data over cloud systems, including lack of control over data and potential for exploitation. The proposed system uses a combination of Attribute-Based Encryption (ABE) and Byte Rotation Encryption to encrypt data before uploading it to the cloud. This allows users to securely store and share encrypted data. The system aims to work efficiently on devices with limited resources by encrypting data in parallel threads. The encrypted data is decrypted using a randomly generated key that is shared only with authorized users.
How build scalable IoT cloud applications with microservices
How build scalable IoT cloud applications with microservices.
Build around business capabilities: Microservices are not organized around technical capabilities of a particular product, but rather business capabilities. As the end goal is user experience and customer satisfaction. Normally teams leveraging microservices are not divided into UI teams or database teams and so on. In fact, there are cross-functional teams that work towards fulfilment of one single functionality. This enables teams agility, reuse services as well as reduce costs.
Running in its own process: Provides better isolation. If service A uses for more memory or CPU or it crashes it will not effect the rest of other services.
Communicating with lightweight: Microservices shift away away from SOAP-based Web Services, ESB layer to more lightweigted communicate, like REST API, event drive proposal, such as MQTT, RabbitMQ or Apache Kafka
Decentralize all the things: In microservices architecture, the goal is to decentralize the decision authority. For instance, let the team to decide which programing languages or database to use for each service. This allows the individual teams to move fast and at scale.
Independently deployable: Every microservice should be independently deployable at any time. This will greatly improve team’s agility and efficiency.
Automation with continuous delivery: In classical monolith-based environments, the release cycle is normally 3 months or even longer, so it’s relatively easy to maintain the build jobs with some manual steps. In a microservice architecture, the number of deployment units increase, organization usually starts with a few of micoservices then grow up to hundreds or thousands over time, therefore an automated is much needed. This can be achieved through automating the build and deploy process through tools like Jenkins or CHEF by having a DevOps team.
Design principles:
1. Isolate All the Things
2. Embrace Asynchronous processing
3. Design for failures
Use HTTP timeout
Automatically retry failed requests
Use circuit breaker pattern
Netflix hystrix
Akka circuit breaker
Manage concurrency update
4. Security improvement
5. Embrace DevOps Practices
6. Monitoring & logging
Monitor tools
Splunk
Zipkin (distributed tracing system)
Logstash
Kibana
Elasticsearch
Newrelic
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Lecture 1 - Introduction to IoT
- 8. Network and Internet IoT Gateway Gathers data from sensors Gateway Protocols ◦ 6LoPAN ◦ LoRaWAN ◦ BLE Internet Protocols ◦ CoAP ◦ MQTT ◦ HTTP ◦ XMPP 8
- 13. Arduino Small programmable device Easy connectable Is open source Has a simple to use software 13
- 20. Good for processing and network 20 Raspberry Pi $35 900 MHz ARM, GPU 1 GB RAM Compute Module Intel® Galileo $50 400 MHz Quark x86 256 MB RAM Intel® Edison $70 1 GHz Dual Core Atom x86 1 GB RAM WiFi BLE 4 GB Flash
- 21. Good for processing and network 21 Beaglebone Black $45 1 GHz ARM, GPU 512 MB RAM 4 GB Flash UDOO Neo $50 i.MX 6 Solo ARM, GPU ARM M4 512 MB or 1 GB RAM Parallella $99 1 GHz Dual Core Zynq ARM 16 or 64 Epiphany CPUs
- 27. Questions? 27