Skip to main content

What is the difference between IoT and M2M?

Devices, computers, and machines were already connected by the time Kevin Ashton coined the term Internet of Things. The concept gained popularity for its ability to connect the unconnected – physical-first objects. The meaning and application of the term IoT will continue to evolve as new connected technologies emerge, replacing physical-first objects with smart connected devices. Examples of IoT include connected cars, smart meters, and smart cities, wearables etc.

M2M means machine to machine communication, is basically communication between a machine or a device with a remote computer. It is a data communication standard. M2M is also named as Machine Type Communication (MTC) in 3GPP.
There are three processes involved in an M2M communication:
  •     It connects the device to the cloud.
  •     Manage the device.
  •     Collects the machine and/or sensor data.
M2M the subset of IoT, initially represented closed, point-to-point communication between physical-first objects. Some experts define M2M as a subset of IoT, while others like to call IoT as an evolved version of machine to machine. Either way, M2M is more recently referred to technologies that enable communication between machines without human intervention. Examples include telemetry, traffic control, robotics, and other applications involving device-to-device communications.

The concepts of IoT and M2M are inherently subjected to the confusion associated with meaning, use cases, and adoption. Traditional M2M solutions typically rely on point-to-point communications using embedded hardware modules and either cellular or wired networks. In contrast, IoT solutions rely on IP-based networks to interface device data to a cloud or middleware platform. Though M2M solutions offer remote access to machine data, these data are traditionally targeted at point solutions in service management applications. Rarely, if ever, are the data integrated with enterprise applications to help improve overall business performance.

There is also a clear difference in the applications of these technologies. M2M solutions, because of their limited scope, are confined to creating a network of machines that work in synchronization. On the other hand, IoT creates 360° solutions that allow for flexible responses and multi-level communication.

Integration of device and sensor data with big data, analytics and other enterprise applications is a core concept behind the emerging IoT. The cloud-based architecture also makes IoT inherently more scalable thereby eliminating the need for incremental hard-wired connections and SIM card installations. This is one reason why M2M is often referred to as “plumbing,” while IoT is a universal enabler.


Comments

  1. his is my first time i visit here. I found so many entertaining stuff in your blog, especially its discussion. From the tons of comments on your articles, I guess I am not the only one having all the leisure here! Keep up the excellent workjogos friv online
    Jogos live
    jogos friv 4 school

    ReplyDelete
  2. Make a day and night for my customer’s; I am Chandigarh escorts service girl use different techniques to provide them pleasure and supply my services. I have common services for regular and normal clients as well as I have luxury services also to some special and outstanding clients. That all services are mentioned below: - kisses, normal relaxation, sexual relaxation, And so on. In my luxury services: - French kisses deeply, Tongue games, Un-perceptional sexual distraction.
    Friv Jogos
    jogos 30 gratis
    io games net

    ReplyDelete
  3. You’ve made some decent points there. I looked on the internet for more information about the issue and found most people will go along with your views on this website.
    kizi free online Games
    games online for kids
    friv free Games 2019

    ReplyDelete

Post a Comment

Popular posts from this blog

Narrowband – IOT

Narrowband-IoT (NB-IoT) is a new technology standard, designed to broaden the future of IoT connectivity. Ratified by the 3GPP, a telecoms standards body which works to develop future generation wireless technologies, NB-IoT will soon be deployed by operators across the globe.The technology was developed to enable efficient communication and long battery life for mass distributed devices across wide geographical footprints and deep within the urban infrastructure. In other words, (NB‑IoT) is a new way of communicating with “things” that require small amounts of data, over long periods, in hard to reach places. Narrowband IoT (NB‑IoT), also known as LTE Cat NB1, is a Low Power Wide Area (LPWA) technology that works virtually anywhere. It connects devices more simply and efficiently on already established mobile networks and handles small amounts of fairly infrequent 2‑way data, securely and reliably. And the best is, it provides: very low power consumption excellent ext

IoT Applications in Agriculture

The Internet of Things (IoT) has the capability to transform the world we live in; more-efficient industries, connected cars, and smarter cities are all components of the IoT equation. However, the application of technology like IoT in agriculture could have the greatest impact. The global population is set to touch 9.6 billion by 2050. So, to feed this much population, the farming industry must embrace IoT. Against the challenges such as extreme weather conditions and rising climate change, and environmental impact resulting from intensive farming practices, the demand for more food has to be met. Smart farming based on IoT technologies will enable growers and farmers to reduce waste and enhance productivity ranging from the quantity of fertilizer utilized to the number of journeys the farm vehicles have made. So, what is smart farming? Smart farming is a capital-intensive and hi-tech system of growing food cleanly and sustainable for the masses. It is the application of moder

Top programming languages used in IoT

In recent times, the Internet of Things is now a popular domain in the developer community. According to research by Statista, there are 6.21 million developers working in IoT. Today, the Internet of Things (IoT) is very much a reality with smart thermostats, connected cars, and smart home hubs like Amazon Echo (that uses multiple languages like Node.js, Java, and Python). If you bring it down to the basics, “smart things” are using a lot of the same languages that are used by applications on your personal computers and mobile devices. According to the survey of developers conducted by the  Eclipse Foundation , the top four languages for building IoT solutions are as follows: Java   C JavaScript Python Go These languages are more or less the same when it comes to desktop apps, mobile apps, and servers. So it might seem like there’s no difference other than smart objects are like little computers. Although this is sort of true, there are some significant differences whe