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

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

Which are the communication protocols used for IOT?

One of the essential factors of the IoT are communication protocols. One of the key aspects of the IoT is the communication between devices and it will be provided with communication protocols. The following paragraphs will provide a brief overview about each of the Internet of Things communication techniques. 6LoWPAN 6LoWPAN that is a IP based communication protocol is an acronym of IPv6 over Low Power Wireless Personal Area Network. 6LoWPAN, therefore, allows for the smallest devices with limited processing ability to transmit information wirelessly using an internet protocol. The most important detail of 6LoWPAN is IPv6. IPv6 (Internet Protocol version 6) is a 128-bit internet protocol developed due to inability of 32-bit IPv4 in addressing. While IPv6 developed, rapid increase of the number of connected devices has been considered. MQTT (Message Queue Telemetry Transport) It was created about 15 years back for monitoring remote sensor nodes and is designed to co