This paper presents a detailed overview of recent works carried out in the field of smart water quality monitoring. Also, a power efficient, simpler solution for in-pipe water quality monitoring based on Internet of Things technology is presented...
To allow doctors to monitor the physical parameters of the patient’s body in real time and to understand the changes in the patient’s condition in time, the medical remote monitoring system based on the Internet of Things was studied...
New algorithms and architectures in the context of 5G shall be explored to ensure the efficiency, robustness, and consistency in variable application environments...
With the evolving Internet of Things, location-based services have recently become very popular. For modern wireless sensor networks (WSNs), ubiquitous positioning is elementary...
The fifth generation (5G) of cellular networks will bring 10 Gb/s user speeds, 1000-fold increase in system capacity, and 100 times higher connection density. In response to these requirements, the 5G networks will incorporate technologies...
The Internet of Things is a paradigm in which everyday items are connected to the internet and share information with other devices. This new paradigm also means that criminals and terrorists would be able to influence the physical world from the comfort of their homes...
Wireless communication plays a critical role in determining the lifetime of Internet-of-Things (IoT) systems. In this paper, Hitch Hiker 2.0, a component binding model that provides support for multi-hop data aggregation is proposed...
Two trends that are dominating the technology industry are the Internet of Things (IoT) and Artificial Intelligence (AI). But for industrial automation, these two technologies are much more than the buzzwords or trending topics. The convergence of AI and IoT will redefine the future of industrial automation. It is set to lead the Industry 4.0 revolution.
Japanese startup Nayuta is releasing an in-progress lightning implementation with a compelling new focus: the internet of things (IoT).
As revealed exclusively to CoinDesk, Nayuta is publishing the first lightning implementation geared specifically toward IoT, or networks of connected devices that feed data to one another. The idea behind Nayuta’s release is that it connects to bitcoin’s live network (as opposed to a test one), allowing transactions of real BTC.
To date, Nayuta’s release represents the fourth lightning implementation to officially launch on bitcoin’s mainnet so far, following software pushes from startups Acinq, Blockstream, and Lightning Labs.
Called Ptarmigan, the Japanese word for “thunder bird,” the name plays off the fact that the promising bitcoin technology it builds upon is named “lightning.”
The Internet of Things (IoT) is winning over the world. The expansion of smart gadgets creates a global network that has the power to change the way we live and do business. The new technology influences almost everything around us, from home appliances and planning to architecture and marketing.
IoT is defined as a system of interrelated computing devices that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. According to the report, more than 64 billion IoT devices will be active worldwide by 2025.
If you are interested in IoT development, you are probably trying to find the best resources currently available online. Our job is to help you with that, so keep reading to see nine open source tools and resources for IoT.
The Internet of things (#IoT) is one of the most exciting trends in the recent history of technology so far. As connectivity, storage, and compute become more universal, we’re seeing an explosion of IoT solutions, from health care to public safety, all pointing towards one conclusion: The IoT is here to stay. As with any other trends in technology, it’s starting to require a new generation of platforms, standards, regulations, and protocols to name few.
Gartner defines the Internet of Things as the network of physical objects that contain embedded technology (such as intelligent sensors) which can communicate, sense or interact with internal or external systems. This can generate volumes of real-time data that can be used by organizations for a variety of applications, including smart appliances to monitoring equipment performance. The Internet of Things (IoT) is becoming so ubiquitous that ABI Research predicts that there will be more than 30 billion IP-connected devices and sensors in the world by 2020.
The rapid evolution of the IoT market has caused an explosion in the number and variety of IoT solutions. Additionally, large amounts of funding are being deployed at IoT startups. Consequently, the focus of the industry has been on manufacturing and producing the right types of hardware to enable those solutions. In that model, most IoT solution providers have been building all components of the stack, from the hardware devices to the relevant cloud services or the solutions (as indicated in the diagram below). As a result, there is a lack of consistency and standards across the cloud services used by the different IoT solutions.
As the industry evolves, the need for standard models to perform common IoT backend tasks, such as processing, storage, and firmware updates, is becoming more relevant. In that new model, we are likely to see different IoT solutions work with common backend services, which will guarantee levels of interoperability, portability, and manageability that are almost impossible to achieve with the current generation of IoT solutions.
Hurdles Facing IoT
While the initial generation of IoT solutions have focused on frameworks that enable communication with smart sensors, The new generation of platforms that enable backend capabilities for IoT solutions is about to emerge. But there are many obstacles to adoption; including the lack of differentiated platforms, outdated regulatory requirements, unclear business models, and most important no killer applications identified by businesses and consumers yet.
The challenges can be divided into 4 categories; Platform, Connectivity, Business Model and Killer Applications:
Platform : This category includes , form and design of the products (UI and UX) , analytics tools used to deal with the massive data streaming from all products in a secureway , and scalability which means wide adoption of protocols like IPv6 in all vertical and horizontal markets .
Connectivity: Connectivity includes all parts of the consumer’s day and night using wearables, smart cars, smart homes, and in the big scheme smart cities. From the business perspective, we have connectivity using IIoT (Industrial Internet of Things) where M2M communications dominating the field.
Business Model: The bottom line is a big motivation for starting, investing in, and operating any business, without a sound and solid business models for IoT we will have another bubble , this model must satisfy all the requirements for all kinds of e-commerce; vertical markets, horizontal markets, and consumer markets. This category is always a victim of regulatory and legal scrutiny. In a recent research piece, Goldman Sachs mapped out the IoT landscape and highlighted a few verticals that could be most impacted by it. Many of them are riddled with heavy regulations, which may impair disruption.
Killer Applications: Three functions needed in any killer applications, control “things”, collect “data”, analyze “data”.
Sensing the Future of IoT
The Internet of Things (IoT) is transforming the everyday physical objects that surround us into an ecosystem of information that will enrich our lives. From refrigerators to parking spaces to houses, the IoT is bringing more and more things into the digital fold every day, which will likely make the IoT a multi-trillion dollar industry in the near future. While the IoT represents the convergence of advances in miniaturization, wireless connectivity, increased data storage capacity and batteries, the IoT wouldn’t be possible without sensors. Sensors detect and measure changes in position, temperature, light, etc. and they are necessary to turn billions of objects into data-generating “things” that can report on their status, and in some cases, interact with their environment. Because sensor endpoints fundamentally enable the IoT, sensor investments are an early indicator of the IoT’s progress. And, according to PwC’s 6th Annual Digital IQ survey of nearly 1,500 business and technology executives, the IoT movement is underway. Maybe one day we will see “IoT as a Service” technology offered and used the same way we use other “as a service” technologies.
Picture a plant floor that is updating operators, managers and even other plants about potential machine problems. It would connect one machine to another and one system to the next. In order to maintain the highest quality, the systems would monitor any data that seems out of order or check on the line in process.
The Internet of Things is here to make these manufacturing concepts a reality. While buzzwords like this sound intimidating, the benefits can be substantial.
You’ve likely heard the terms, whether in the pages of Quality or in another context related to autonomous vehicles, equipment monitoring, or smart home devices. Although there is a lot of confusion around what exactly the term Internet of Things (IoT) means, the idea is that it allows products to communicate with people and one another. It could be described as the intersection of cyber and physical systems. But at its core, it’s all about data. With this newly available granular detail regarding machines, it is possible to spot trends, connect devices, and make your factory smarter.
According to research from Statista, the industrial Internet of Things (IIoT) market is predicted to reach $123 billion by 2021, with the discrete manufacturing industry projected to spend $40 billion on IoT platforms, systems and services. As you’re shopping for equipment, this may be something to keep in mind. Your next-generation products may have these features already built in.
Maciej Duraj explains the benefits in an article for Forbes. He writes, “Some examples of the way IoT for manufacturing can be utilized is adding online connectivity to machines and hardware; remotely monitoring and sharing of data on manufacturing equipment; using sensors for field service scheduling; as well as data collecting systems in play for equipment and workforce. This will not only make equipment and systems in plants longer lasting, but the hardware stay more efficient as well. Industry 4.0 leverages the power of cloud computing, big data and even machine learning (AI) in the case of Watson IoT, for instance, in order to find the best possible solutions to the whole manufacturing process.”
A Wired article explains it this way: “The Industrial Internet of Things (IIoT) takes networked sensors and intelligent devices and puts those technologies to use directly on the manufacturing floor, collecting data to drive artificial intelligence and predictive analytics.”
And this trend looks like it will continue to grow, in a range of industries including manufacturing. In a July 2018 Forbes article, Daniel Newman writes, “Sensors, RFID tags, and smart beacons have already started the next industrial revolution. Market analysts predict the number of connected devices in the manufacturing industry will double between 2017 and 2020.”
What effect will this have on the quality space? For quality professionals, the Internet of Things can affect their work in a number of specific ways. For one thing, it is clear that data can improve an organization’s quality processes. Six Sigma requires data analysis and IoT data provides another avenue to gathering this information. Aligning the Internet of Things and Six Sigma pairs data gathering and data analysis. Think of the Internet of Things as another route to data. As W. Edwards Deming said, “In God we trust; all others must bring data.”
Quality is essential in providing a means to understand the reams of data that are now available. This should be exciting, though as with any new technology, changes to processes and workflow can understandably be worrying at first. In an ASQ blog, Chris Moustakas offers some reassurance. “If you’re a quality professional and you feel overwhelmed or even threatened by the subject, you shouldn’t: in fact, you should welcome it, because it’s going to make your role that much more critical to your organization. Ultimately, the purpose of data is to derive insights regarding trends and patterns, so as to uncover bottlenecks and inefficiencies. Sound familiar? The tools and methods may be evolving, but at the end of the day a human (you) needs to translate those insights into organizationally appropriate actions.”
“Quality has always been about collecting and understanding data,” Moustakas writes. “By making it easier to gather and analyze information from sources previously prohibitive, technology has thrown open a wonderful door of opportunity. IT may know how to install the sensors and implement the software to crunch the inputs, but why they crunch and to what end needs to be done with purpose – and quality professionals can play a central role in shaping that purpose.”
While technology changes can be intimidating, it is also rewarding to see the improvements take shape. And with this data collection showing no sign of slowing down, it will be helpful to be on the right side of change.
Rather than getting left behind, quality professionals would do well to embrace the data available through the IoT. Consider that the more knowledge you have about your operations, the better the position you will be in to improve it.
India’s largest software company, Tata Consultancy Services Limited (TCS), is actively working on a number of decentralized projects leveraging R3’s blockchain platform and Microsoft Azure blockchain workbench. Per the company, the blockchain venture was initiated to accelerate the adoption of distributed ledger technology across a wide range of industries.
TCS Delves Deep Into Blockchain
As reported by ANI, IT giant TCS is developing five blockchain architectures, each offering a different solution ranging from digital identity to tokenization. The platforms will also facilitate solutions such as track-and-trace, asset monetization, and assets in common.
The Indian IT heavyweight divulged that the platforms will leverage R3’s blockchain platform, Codra Enterprise, and be hosted on Microsoft Azure cloud.
TCS, the world’s ninth-largest IT company by market cap, intends to develop advanced cross-industry blockchain platforms that would make it easy to deploy scalable solutions on the platform. Apart from developing shared ledgers, TCS will develop a number of solutions built on these decentralized architectures.
Global head of blockchain services at TCS, Lakshminarasimhan Srinivasan, stated:
“Some of the anchor solutions that we are building on these platforms include skills marketplace, anti-counterfeiting of luxury goods, affordable mobility, shared telecom infrastructure for 5G and loyalty and rewards programmes.”
While the plan seems ambitious, the company has not announced any timeline to launch of these enterprise-level blockchain platforms. However, TCS hopes that the cross-industry blockchain platforms will increase adoption of the technology.
Race to Become Blockchain Platform Leaders
With this latest development, TCS plans to work on a market position in the blockchain space. On that front, software powerhouse TCS has successfully been offering its blockchain solution dubbed Quartz. The Quartz blockchain solution allows enterprises in the financial ecosystem to use distributed ledger tech to significantly cut transaction processing cost.
Earlier in January, Srinivasan stated that distributed ledger technology, along with artificial intelligence and Internet of Things (IoT), can lead to new income opportunities.
“The combinatorial effect of blockchain with other next-gen technologies such as artificial intelligence, Internet of Things, and virtual reality, cannot only drive hyper productivity and business transformation, but also open up new revenue streams through disruptive innovation.”
While TCS is aggressively pursuing blockchain, other Indian software firms are not behind the curve.
One such company is Tech Mahindra, which has been very bullish on distributed ledger technology. In the past, Tech Mahindra revealed plans to use DLT to register vehicle numbers. Apart from that, the IT heavyweight also signed an MoU with the state government of Telangana to build a blockchain district that will foster startups working in the space.
Moreover, Tech Mahindra also partnered with Microsoft to develop a blockchain-powered platform that would regulate unsolicited telecom communications.
Similarly, last year India’s second-biggest software firm Infosys developed a tailor-made blockchain trade finance network. The blockchain-powered platform is aimed to eliminate any opportunities for fraud in the Indian banking system.
It will include tracks on segments such as healthcare, manufacturing, telecom, smart cities and agriculture
The Internet of Things (IoT) India Congress, an event which will see digital technology leaders converge to discuss and explore business opportunities in mainstreaming IoT, will be held in Bengaluru on August 22-23, 2019.
The IoT India Congress 2019 will include tracks on segments such as healthcare, manufacturing, telecom, smart cities, energy, retail, cyber security, skills and development, IoT Standards, legal and regulatory, and agriculture.
WootCloud Labs would be collaborating with IoT companies to alert the wider IoT community of these vulnerabilities for preventing attacks before they occur.
WootCloud, an innovative IoT cybersecurity company, has announced a global research initiative to help the OpenSource and IoT community at large identify IoT cybersecurity vulnerabilities.
As part of this initiative, WootCloud Labs, the research division of WootCloud, is addressing a mission critical need for businesses worldwide. Using Artificial Intelligence, Machine Learning and Neural Network technology, WootCloud Labs is conducting highly detailed research and analysis to identify IoT (Internet of Things) threats that have historically gone undetected.
WootCloud Labs would be working with IoT organizations and companies to alert the wider IoT community of these vulnerabilities for preventing attacks before they occur.
“With so many smart devices available in the wild, device sprawl is rampant and creates an environment that is becoming more and more inviting for attackers,” said Srinivas Akella, founder and CTO of WootCloud.
“At WootCloud Labs our goal is to deliver actionable insights to the IoT community, empowering businesses with the information they need to get ahead and stay ahead of a wide range of vulnerabilities, exposures and exploits. We are looking forward to continuing to collaborate with organizations to deliver research and analysis around a wide variety of impending threats,” he added.
Expanding IoT ecosystem
According to Juniper Research, the number of IoT connected devices may reach 38.5 billion in 2020 and spending on IoT cybersecurity solutions is expected to increase to over $6 billion globally by 2023.
WootCloud Labs aims to help enterprises and security firms get ahead of and detect new threats that exist in the rapidly expanding IoT ecosystem.
The research team at WootCloud Labs has identified and ethically disclosed numerous new threats over the past year. These include the following:
The presence of three new botnet families on Polycom HDX systems, both mimicking the behaviour of the Mirai botnet. The malware families are a version of the Bushido and Hades Bots. WootCloud Labs detected the infections in the Asia region. A number of Polycom devices were found to be running the discovered bots, which performed brute-force and password cracking operations from the device via the telnet interface. APIs supported by Polycom devices are abused by the attackers for performing unauthorized operations on the device.
The OMNI botnet, which harnesses the power of open open-source software packages such as “BusyBox,” WGet” and others that shipped with the embedded firmware of the Polycom devices. OMNI bypasses the various authentication mechanisms and enables a complete takeover of the target device. It also enables the attackers to launch brute-force attacks and DDoS attacks and allow conferencing systems to act as proxy devices for routing malicious communications such as Command and Control (C&C).
More than 200,000 Cisco routers running with exposed web administrative panels. Exposed routers could become potential targets for malware authors to compromise these devices and use the same for forming botnets. Compromised routers can be used for building botnets to trigger unauthorized operations such as launching brute-force attacks, bitcoin mining, building hidden proxy tunnels, and many others. WootCloud Labs’ research reflected the risk of allowing administrative web consoles to be exposed on the Internet, as they can be accessible by remote users without any restriction.
“In a climate where more than half of organizations have no good control over or have an accurate assessment of devices available on their network, there is an urgent need to proactively identify and manage ‘dark devices’ in a more effective way,” said Akella.
He added that WootCloud is committed to developing solutions and insights that will continue to address this demand.
IoT is gaining ground in our lives at a very rapid rate. This makes the study of IoT and its related aspects very important. This article presents open source IoT tools and services in a nutshell.
The term ‘open source’ is primarily related to software in which the source code is freely accessible to users other than the developer —for examination, use and modification or expansion.
The growth of the Internet of Things (IoT) is based on the continuous developments in the fields of microelectronics, IT and communications, and it is evident this trend will continue. Openness has been the most noted driver of the IoT revolution. It has helped create many interesting applications, ranging from automated kettles to data analysers.
As IoT comprises connected objects like smart appliances, machinery, wheels, etc, the user experience with it relies on the physical structure, its specifications and the way it’s been applied.
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What drives open source
There are three main elements behind the growth of the open source movement.
Beneficiaries: They wish to use a wide category of consumer technologies and not just those from a particular vendor.
IoT service providers: They have developed various technologies, paving the way to versatile compatibility.
Developers: They develop openly accessible code supporting a range of devices, platforms and technologies, rather than being locked with just one vendor.
Figure 1: Internet protocol vs IoT protocol
What follows is a bird’s eye view of the various open source tools and services that will help in the development of IoT.Open source IoT development tools
Arduino is an open source prototyping platform with both software and hardware offering ease of use. It is also interactive, with a simple programming language and an IDE.
Kinoma is a prototyping hardware platform from Marvell Semiconductor, which controls over three open source projects, namely, Kinoma Create, a DIY construction kit; Kinoma Studio, a development environment; and Kinoma Connect, a free app for Android and iOS, connecting IoT devices and mobile devices.
The Eclipse project sponsors numerous projects on IoT, including application services and frameworks, open source implementation of IoT protocols, and Lua development tools.
M2M Labs is another open source framework for building M2M applications such as smart grids, fleet management, remote monitoring, etc. Its capabilities include flexible device modelling, device configuration, device and application communication, data validation and normalisation, prolonged data storage and recovery. It is based on the Apache Cassandra NoSQL database.
Open source hardware
Arduino Yun combines the microcontroller and Linux for the Arduino board. It comprises the ATmega32u4 (which supports Arduino) and the Atheros AR9331 (which runs on Linux) processors. Its built-in features are Wi-Fi, Ethernet, a USB port, microSD card, reset buttons, etc.
BeagleBoard offers credit card-sized boards that run Android and Linux. Since its power requirements are very low, the BeagleBoard is obviously the better choice for IoT devices. It is available with a wide range of vendors—both hardware and software are open source and sold under the name BeagleBone.
Flutter is a programmable electronics processor core for hobbyists, students and engineers. It is based on Arduino, and has a wireless transmitter with a half-mile range. It requires no router and communicates directly with other boards. It includes an asynchronous encryption of 256 bits and offers flexible usage.
LightBlue Bean Punch Through is a low power microcontroller for Bluetooth Arduino. It is wirelessly programmed, runs on a coin cell battery and is ideal for smartphone-controlled projects using Bluetooth 4.0.
Open source operating systems
AllJoyn is a free-licence OS for IoT, originally designed and developed by Qualcomm and now sponsored by the AllSeen Alliance of organisations, which includes LG, Qualcomm, Panasonic, Microsoft, Sharp, Cisco, Symantec and many others. It offers a range of services and frameworks, which enable producers to design compatible devices. It is a cross-platform API for OS X, iOS, Windows 7 and Android applications.
Contiki is an open source operating system for the Internet of Things. It merges microcontrollers to the Internet. It supports standards such as RPL, CoAP, IPv6 and 6lowpan.
Raspbian is a credit card-sized computer that is popular among developers though it was introduced as an educational device. This is not entirely open source, though much of its software and documentation is. It is the most famous Raspberry Pi OS based on Debian Linux.
Figure 2: Eclipse IDE
Open source protocols
Advanced Message Queuing Protocol (AMQP) is a business messaging Internet protocol. It is an open standard for communicating between applications or companies. It connects systems, feeds business processes with the information they need, and transmits instructions to achieve set objectives reliably.
Constrained Application Protocol (CoAP) is a “specialised Web transfer protocol to be used in the Internet of Things with restricted nodes and networks.” This protocol is intended for machine-to-machine (M2M) applications such as intelligent energy and the automation of building infrastructure.
Very Simple Control Protocol (VSCP) probably should be called a framework rather than a protocol. It is a highly scalable, very low footprint, free and open solution for the discovery and identification of devices, their configuration, autonomous device functionality, securely updating the devices — overall, a solution from the sensor to the user.
Industry consortia for open source
Open Interconnect Consortium (OIC) is a non-profit organisation founded by leading technology companies with the aim of defining the requirements for connectivity and the interoperability for the billions of devices that make up the Internet of Things.
Eclipse IoT supports open Internet of Things standards. It provides the IoT protocols open source implementations such as CoAP, oneM2M, LWM2M, MQTT, OPC-UA, and more.
Open source APIs
Zetta is an open source platform, built on Node.js to create servers running over geo-distributed computers and the cloud. Zetta combines WebSockets and REST APIs with reactive programming. This is ideal for assembling many devices in data-intensive applications in real-time.
BipIO exposes an easy-to-access HTTP API for any device. We can use its drag-and-drop simplicity to automatically connect to Web APIs with dozens of pods.
Open source middleware
IoTSyS is middleware that comes with an intelligent device communication stack. It supports several IPv6, oBIX, 6LoWPAN, Constrained Application Protocol and Efficient XML Interchange standards and protocols.
OpenIoT: Its website explains that the project is open source middleware for sensor cloud information, which saves users from having to worry about the exact sensors used. It aims to enable cloud-based ‘Sensing-as-a-Service’ and has developed cases for intelligent agriculture, smart production, urban crowd sensing, smart living and smart campuses.
Figure 3: Hazelcast IMDG
Open source integration tools and platforms
DeviceHive offers a communication framework for connecting M2M devices to the IoT. It includes easy-to-use Web management software for networking, application security regulations and live monitoring devices. It also contains files on sample projects developed with DeviceHub, and has a simulation section where it provides visualisation of how DeviceHub works online.
DeviceHub.net could be considered the ‘open source backbone of IoT’. It renders a cloud facility to monitor, track and control the devices, and stores the data collected from the Web page directly, and in real-time. It is mainly concerned with tracking health care information, the location of children and vehicles, monitoring weather, etc.
Open source toolkits
IoT Toolkit is a collection of libraries that enables communication with the latest IoT based environments and devices. This high-performance library collection is optimised for minimal memory consumption in RAM, ROM, high speed and versatility, on any device.
KinomaJS is a JavaScript based framework designed to create core embedded device applications. It has support for Linux, Mac OS X, Windows, Android and iOS.
Open source Node Flow editors
Node-RED is a Flow-based Internet of Things programming tool for connecting hardware devices, APIs and online services in an interesting and new way.
ThingBox is a set of ready-to-use software that is already installed and set up on an SD card. It’s not a new automatic home box. It aims to help create new use cases that go much further than home automation.
Open source data visualisation
ThingSpeak is an IoT analytics service that allows you to aggregate, view and analyse live data streams from the cloud. It provides instant visualisation of data posted to ThingSpeak by your devices.
Freeboard is a free, open source dashboard project with optional hosted subscriptions that can be easily integrated and elegantly designed with a variety of data sources.
Open source home automation software
OpenHAB integrates different home automation systems, devices and technologies into a single solution. It is supplier- and hardware-neutral, and runs on any Java-activated system. One of its objectives is to enable users to add and combine new features to their devices.
Thing System comprises software and network protocols. It promises to find and bring together all the things in your home that are connected to the Internet so that you can control them. It supports a wide range of devices including Nest thermostats, Samsung smart air conditioners, Insteon LED bulbs, Roku, Google Chromecast, Pebble smart clocks, Goji smart locks and more. It is written in Node.js and can be connected to a Raspberry Pi.
Open source in-memory data grids (IMDG)
Hazelcast IMDG is often used as a database operating memory layer to improve application performance; distribute data across servers, clusters and geographies; ingest data at very high rates and manage large data sets.
Ehcache is a standards-based open source cache that improves performance, offloads your database and simplifies scalability. It is the most commonly used Java cache because it is robust, proven, fully functional and integrates with other popular libraries and frames.
The top ten IoT trends for 2019 and beyond
Gartner shared a write-up about the ten vital trends that will influence the Internet of Things (IoT), from 2019 through to 2023, at the Gartner Symposium/IT Expo in Barcelona, Spain in 2018. These are:
New wireless networking technologies for IoT
New IoT user experiences
Social, legal and ethical IoT
IoT governance
Sensor innovation
Artificial intelligence (AI)
Infonomics and data broking
The shift from the intelligent edge to the intelligent mesh
Internet of things enabled real time water quality monitoring system
Medical long-distance monitoring system based on internet of things
Automatic classification of insulator by combining k-nearest neighbor algorithm with multi-type feature for the Internet of Things
Unified performance measures in network localization
What is a smart device? - a conceptualisation within the paradigm of the internet of things
Towards 5G cellular network forensics
Contender waveforms for Low-Power Wide-Area networks in a scheduled 4G OFDM framework
Scenarios for crime and terrorist attacks using the internet of things
Hitch Hiker 2.0: a binding model with flexible data aggregation for the Internet-of-Things
