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Internet of Things

by 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.

Internet of Things Software

This list shows the top software that mention internet of things most on G2.

Particle offers a suite of hardware and software tools to help you prototype, scale, and manage your Internet of Things products.

Microsoft Defender for IoT is a comprehensive security solution designed to protect Internet of Things (IoT and operational technology (OT environments. It offers real-time asset discovery, vulnerability management, and cyberthreat protection for industrial infrastructures, including industrial control systems (ICS and OT networks. By providing complete visibility into all IoT and OT assets, Defender for IoT enables organizations to manage security posture effectively and reduce the cyberattack surface area. Its agentless, network-layer monitoring ensures seamless integration with existing systems without impacting performance. Key Features and Functionality: - Context-Aware Visibility: Gain comprehensive insights into all IoT and OT assets, including device details, communication protocols, and behaviors. - Risk-Based Security Posture Management: Identify and prioritize vulnerabilities using a risk-prioritized approach to minimize the cyberattack surface. - Cyberthreat Detection with Behavioral Analytics: Utilize IoT and OT-aware behavioral analytics and machine learning to detect and respond to cyberthreats effectively. - Agentless Monitoring: Deploy non-invasive, passive monitoring that integrates seamlessly with diverse industrial equipment and legacy systems. - Unified Security Operations: Integrate with Microsoft Sentinel and other security information and event management (SIEM systems for centralized monitoring and governance. Primary Value and Problem Solved: Defender for IoT addresses the critical need for robust security in IoT and OT environments, which are often vulnerable due to unpatched devices, misconfigurations, and lack of visibility. By providing real-time asset discovery, continuous monitoring, and advanced threat detection, it empowers organizations to proactively manage risks, ensure compliance, and protect critical infrastructure from evolving cyberthreats. This solution enables seamless integration with existing security operations, fostering a unified approach to IT and OT security.

Golioth makes it easy for hardware and firmware engineers to connect custom hardware to a full-featured cloud without needing to be a cloud expert. Golioth works best with products that are ready to scale. We enable excellent prototyping capabilities and our scalable cloud infrastructure means you can grow your product as soon as you’re ready. Golioth is ready-made for projects using Cellular, WiFi, and Thread connectivity. Application verticals run the spectrum from asset tracking to low-power sensor networks.

InfluxDB is the open source time series database

Azure Time Series Insights is a fully managed analytics, storage, and visualization service for managing IoT-scale time-series data in the cloud. It provides massively scalable time-series data storage and enables you to explore and analyze billions of events streaming in from all over the world in seconds.

SAP Analytics Cloud is a multi-cloud solution built for software as a service (SaaS) that provides all analytics and planning capabilities – business intelligence (BI), augmented and predictive analytics, and extended planning and analysis – for all users in one offering.

UiPath enables business users with no coding skills to design and run robotic process automation

IF This Then That. Diversely-integrated API automation platform.

• Harness data with broad functionality and unlimited scalability. IBM Informix is a secure embeddable database, optimized for OLTP and Internet of Things (IoT) data. Informix has the unique ability to seamlessly integrate SQL, NoSQL/JSON, time series and spatial data. Everyone from developers to global enterprises can benefit from its reliability, flexibility, ease of use and low total cost of ownership. • Optimize business decisions Perform analytics close to data sources to enhance local decision making. Access business intelligence faster with enhanced integration with various tools and applications. • Eliminate downtime Ensure always-on operations across your grid environment. Upgrade, maintain and configure the grid with no downtime. Successfully meet service-level agreements. • Improve development agility Support both structured and unstructured data with a hybrid database system for enhanced flexibility and easier development. • IBM Informix is available on-premise and on the IBM Cloud. IBM Informix on Cloud offers the complete feature set of on-premises Informix deployments. Run your OLTP queries and workloads on an optimized instance and use the Informix warehouse accelerator to configure in-memory query acceleration for predictive analytics. Get the benefits of Informix without the cost, complexity and risk of managing your own infrastructure. IBM Informix V14.10 enhances all editions, bringing improvements to performance, security, administration, and core database capabilities including support for online transaction processing (OLTP) and replication workloads, timeseries and spatial data. Discover why many of the world’s most innovative companies depend on IBM Informix.

GridDB is a database that offers both speed and scaling for mission critical big-data applications.

An innovative and powerful networking simulation tool used for practice, discovery and troubleshooting.

IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs.

With Infoblox DNS Firewall you gain proactive network protection against fast-evolving, elusive malware threats that exploit DNS to communicate with command and control (C&C) servers and botnets.

Check Point Infinity is the only fully consolidated cyber security architecture that provides unprecedented protection against Gen V mega-cyberattacks as well as future cyber threats across all networks, endpoint, cloud and mobile. The architecture is designed to resolve the complexities of growing connectiviity and inefficient security

Process Mining powered by ARIS allows you to understand your business like never before. Improve your processes constantly and embrace innovation continuously to keep up and stay relevant.

Solve planning and scheduling problems using optimization modeling tools and powerful CPLEX Optimizer and CP Optimizer solvers to make better business decisions

Privacy1's Zero Trust Data Protection solution offers a comprehensive approach to safeguarding personal data by applying privacy-aware security directly to the data assets. This method shifts the focus from traditional perimeter defenses to a data-centric strategy, ensuring that sensitive information remains protected regardless of its location within the system. By encrypting data and implementing purpose-specific access controls, Privacy1 enables organizations to manage data access based on legal purposes, approved systems, and authorized personnel. This approach not only enhances data security but also ensures compliance with privacy regulations and builds trust with customers. Key Features and Functionality: - Consistent Protection: Maintains a uniform level of data security as information moves across various systems, regardless of differing perimeter security measures. - Purpose Control: Allows access to sensitive personal data solely for specific legal purposes, ensuring that data usage aligns with organizational policies and regulatory requirements. - Privacy Awareness: Integrates privacy considerations into data protection, enabling control over data usage across the organization from a legal standpoint. - Data Encryption: Ensures that data is encrypted, making it accessible only to legitimate systems and users for authorized purposes, both at rest and during transit. - Automated Privacy Rights Management: Facilitates the automation of data subject rights requests, such as access, erasure, and consent management, reducing manual overhead and enhancing compliance. Primary Value and Problem Solved: Privacy1's Zero Trust Data Protection addresses the critical challenge of data breaches and unauthorized access by implementing a data-centric security model. By encrypting data and enforcing purpose-specific access controls, it ensures that even if perimeter defenses are compromised, the data remains unreadable and secure. This solution not only mitigates the risk of data misuse but also simplifies compliance with privacy regulations, reduces operational costs associated with manual data protection processes, and enhances customer trust by demonstrating a commitment to data privacy and security.