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Internet of Things

por Sagar Joshi
Internet of Things (IoT) allows communication between interconnected devices. Learn more about its types, benefits, standards, and applications.

What is the Internet of Things (IoT)?

The Internet of Things (IoT) allows communication between interconnected devices. Billions of physical devices are connected to the internet that communicate and collect real-time data without human involvement.

IoT is everywhere, from smartphones to smart TVs and refrigerators to smart pills that help doctors monitor patients and suggest diagnoses. 

IoT makes ordinary objects intelligent and interactive by connecting them to other objects and cloud applications. Many organizations use IoT platforms to properly handle their IoT devices and infrastructure. 

Modern IoT has evolved from machine-to-machine technologies or point-to-point communication between devices to communication between interconnected networks, without the need for point-to-point connections.

Types of Internet of Things

IoT is a network of interconnected computing devices, machines, objects, or people that can share data with other devices over the internet. Below are some common IoT types prevalent in the industry.

  • Consumer Internet of Things (CIoT) refers to interrelated systems or objects in the context of consumer applications, use cases, and devices. Here, IoT is personally used by the consumer. The interconnected devices have unique identifiers (UID) that recognize and access entities for various purposes.
  • Commercial Internet of Things is concerned with IoT systems and devices used in businesses and enterprises. Commercial IoT devices have paved the way for today's consumer-level deployments.
  • Industrial Internet of Things (IIoT) involves sensors and devices connected with computers' industrial applications. For example, in manufacturing and energy management, IIoT assists data collection, exchange, and analysis, improving productivity, efficiency, and other economic components. IIoT uses cloud computing to optimize process controls.
  • Infrastructure Internet of Things is a subset of Industrial Internet of Things. But due to its significance in smart infrastructure development, it's considered a different IoT type.
  • Internet of Military Things (IoMT), also known as Battlefield IoT or Internet of Battlefield Things (IoBT), uses IoT systems and devices in the military and battlefield. It's used to increase situational awareness, analyze risk, improve military practices and strategy, and refine response time. For example, an interconnected system connects ships, planes, and tanks.

Internet of Things applications

IoT provides a seamless connection between machines and humans that simplifies, improves, and automates processes, making it a preferred system for various applications.

  • Smart homes use sensors to control and maintain lighting, as well as manage resources and security systems.
  • Agriculture industry has huge benefits from IoT. Climate change and the growing population have led to several innovations. For example, sensors can analyze soil chemistry and fertilizer profiles, regulate water use for farming, and track livestock with Radio-frequency identification (RFID) chips.
  • Supply chain management's upgrade has been possible with IoT. Global economic integration has increased the scale of the supply chain network, and IoT devices and systems are paramount in managing that growth. For example, shipping companies use trackers to monitor the products they move.
  • Healthcare systems have increased their efficiency with IoT. Medical institutions are now well-equipped to provide better treatment and care with sensors and IoT technologies.

Internet of Things technologies

Below are some notable technologies that empower modern IoT systems and devices.

  • Wireless sensor networks with distributed devices and sensors help monitor environmental and physical changes. They have end nodes, routers, and coordinators. For example, weather monitoring systems and surveillance systems.
  • Cloud computing provides a means to get to applications over the internet. Users can access resources like databases, web servers, and storage from almost any location. It provides infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS).
  • Big Data analytics deals with the study of massive volumes of data or big data. Big data is generated every minute from various sources like social media videos, digital images, sensors, and sales transaction records.
  • Communication protocols are the backbone of IoT systems as they allow network connectivity and linking to applications. Devices can exchange data over the network. They are used in data encoding and addressing schemes.
  • Embedded systems are a mix of hardware and software systems that perform specific tasks. They have a microcontroller, microprocessor memory, networking, input-output, and storage devices. It is used in digital cameras, wireless routers, and music players.

IoT standards

IoT standards and protocols are an integral part of IoT technology. Each project has a different use case and requires different smart devices, protocols, and applications. A few IoT standards are discussed here.

  • IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) is a low-power network where every node has its IPv6 address.
  • ZigBee is a low-power, low-data rate wireless network used to create personal area networks and is widely used in industrial settings.
  • LiteOS is an operating system similar to Unix employed in wireless sensor networks. It supports smartphones, wearables, and smart homes.
  • OneM2M is a global standard, machine-to-machine service layer that can be embedded in software and hardware to connect devices. It applies to all industry verticals.
  • Advanced Message Queuing Protocol supports various messaging applications and communication patterns. 
  • Constrained Application Protocol is a specialized application designed by The Internet Engineering Task Force (IETF) for constrained devices.
  • Long Range Wide Area Network is a protocol for massive networks with millions of low-power devices, such as smart cities.

In addition to these technical standards, a number of organizations, frameworks, and platforms have been developed to facilitate IoT systems development and deployment. Below are some examples.

  • The Open Connectivity Foundation (OCF) promotes the development of interoperability standards for IoT devices and systems. It provides resources and tools to help developers build and certify devices compatible with the OCF standards.
  • The Industrial Internet Consortium (IIC) focuses on developing and deploying IoT solutions for the industrial sector. It offers guidance and best practices for building and deploying IoT systems in the manufacturing, energy, and transportation industries.
  • The AllSeen Alliance promotes the development of interoperable IoT devices and systems using open-source software. It gives tools and resources to developers to build and certify devices compatible with the AllSeen standards.

Internet of Things benefits

Below are some potential benefits of using IoT. 

  • Efficiency. IoT devices produce more efficient operations by automating several tasks and processes. As an example, sensors in a manufacturing plant can detect when equipment is malfunctioning and automatically shut it down. 
  • Productivity. Automating tasks and procedures allows people to focus on more critical tasks that need a human approach.
  • Decision-making. IoT devices produce a multitude of data to support informed decision-making. For instance, farmers can collect data on soil moisture levels, temperature, and other environmental factors with IoT devices and use that information to optimize crop production.
  • Safety. IoT devices improve safety through sensors that help prevent accidents when detecting dangerous conditions.
  • Customer experience. IoT enhances customer experience in various ways. For example, retailers use IoT devices to track inventory levels and automatically reorder products, ensuring customers find what they're looking for.

IoT vs. IIoT

Over the past decade, the presence of smart devices has increased. This integration of intelligent devices is the base of IoT.

Both IoT and IIoT are built on top of the same fundamental layer. They share technologies like sensors, cloud platforms, connectivity, and analytics. Their domains, standards, and regulations must comply to be successful and commercially available. The significant difference between the two is the end user. 

While IoT is meant for retail customers and devices, the IIoT is mainly for industrial purposes. Another significant difference lies in the necessary design parameters. IIoT requires robust parameters as they serve industrial applications. 

Learn more about IoT security and safeguard devices and systems against cyber attacks.

Sagar Joshi
SJ

Sagar Joshi

Sagar Joshi is a former content marketing specialist at G2 in India. He is an engineer with a keen interest in data analytics and cybersecurity. He writes about topics related to them. You can find him reading books, learning a new language, or playing pool in his free time.

Software de Internet of Things

Esta lista muestra el software principal que menciona internet of things más en G2.

Particle ofrece un conjunto de herramientas de hardware y software para ayudarte a prototipar, escalar y gestionar tus productos de Internet de las Cosas.

Golioth facilita a los ingenieros de hardware y firmware conectar hardware personalizado a una nube con todas las funciones sin necesidad de ser un experto en la nube. Golioth funciona mejor con productos que están listos para escalar. Ofrecemos excelentes capacidades de prototipado y nuestra infraestructura en la nube escalable significa que puedes hacer crecer tu producto tan pronto como estés listo. Golioth está diseñado para proyectos que utilizan conectividad Celular, WiFi y Thread. Los verticales de aplicación abarcan desde el seguimiento de activos hasta redes de sensores de bajo consumo.

InfluxDB es la base de datos de series temporales de código abierto.

Azure Time Series Insights es un servicio completamente gestionado de análisis, almacenamiento y visualización para gestionar datos de series temporales a escala IoT en la nube. Proporciona un almacenamiento de datos de series temporales masivamente escalable y permite explorar y analizar miles de millones de eventos que llegan de todo el mundo en segundos.

SAP Analytics Cloud es una solución multi-nube diseñada para software como servicio (SaaS) que proporciona todas las capacidades de análisis y planificación: inteligencia empresarial (BI), análisis aumentados y predictivos, y planificación y análisis extendidos, para todos los usuarios en una sola oferta.

UiPath permite a los usuarios empresariales sin habilidades de codificación diseñar y ejecutar la automatización de procesos robóticos.

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• Aprovecha los datos con una funcionalidad amplia y escalabilidad ilimitada. IBM Informix es una base de datos embebible segura, optimizada para datos OLTP e Internet de las Cosas (IoT). Informix tiene la capacidad única de integrar sin problemas datos SQL, NoSQL/JSON, de series temporales y espaciales. Todos, desde desarrolladores hasta empresas globales, pueden beneficiarse de su fiabilidad, flexibilidad, facilidad de uso y bajo costo total de propiedad. • Optimiza las decisiones empresariales Realiza análisis cerca de las fuentes de datos para mejorar la toma de decisiones local. Accede a la inteligencia empresarial más rápido con una integración mejorada con varias herramientas y aplicaciones. • Elimina el tiempo de inactividad Asegura operaciones siempre activas en todo tu entorno de red. Actualiza, mantén y configura la red sin tiempo de inactividad. Cumple exitosamente con los acuerdos de nivel de servicio. • Mejora la agilidad del desarrollo Soporta tanto datos estructurados como no estructurados con un sistema de base de datos híbrido para una mayor flexibilidad y un desarrollo más fácil. • IBM Informix está disponible en las instalaciones y en la IBM Cloud. IBM Informix en Cloud ofrece el conjunto completo de características de las implementaciones de Informix en las instalaciones. Ejecuta tus consultas y cargas de trabajo OLTP en una instancia optimizada y utiliza el acelerador de almacén de Informix para configurar la aceleración de consultas en memoria para análisis predictivo. Obtén los beneficios de Informix sin el costo, la complejidad y el riesgo de gestionar tu propia infraestructura. IBM Informix V14.10 mejora todas las ediciones, aportando mejoras en rendimiento, seguridad, administración y capacidades básicas de la base de datos, incluyendo soporte para procesamiento de transacciones en línea (OLTP) y cargas de trabajo de replicación, datos de series temporales y espaciales. Descubre por qué muchas de las empresas más innovadoras del mundo dependen de IBM Informix.

GridDB es una base de datos que ofrece tanto velocidad como escalabilidad para aplicaciones de big data críticas para la misión.

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IBM® Db2® es la base de datos que ofrece soluciones a nivel empresarial para manejar cargas de trabajo de alto volumen. Está optimizada para ofrecer un rendimiento líder en la industria mientras reduce costos.

Con Infoblox DNS Firewall obtienes protección proactiva de la red contra amenazas de malware en rápida evolución y difíciles de detectar que explotan DNS para comunicarse con servidores de comando y control (C&C) y botnets.

Check Point Infinity es la única arquitectura de ciberseguridad completamente consolidada que proporciona una protección sin precedentes contra mega-ciberataques de Generación V, así como contra futuras amenazas cibernéticas en todas las redes, puntos finales, nube y dispositivos móviles. La arquitectura está diseñada para resolver las complejidades del creciente nivel de conectividad y la seguridad ineficiente.

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