Machine-to-machine (M2M) communication refers to the transfer of data between two machines through a wired or wireless connection, without relying on human input. This communication occurs when a machine uses sensors to transmit data to another machine or a network of machines. M2M is an umbrella term for the Internet of Things (IoT), IoT refers to the connection and exchange of information between various devices.

Curious to gain a deeper understanding of m2m communication? M2M is a powerful way to transfer information from one machine to another to enable greater workplace processes.

How Does M2M Work?

M2M communication uses sensors to transfer data to another machine or network of machines to quickly distribute information. Sensors are strategically placed to receive and transmit data in real-time.

The defining factor of M2M is that data transfer is completed without human input or interference. That being said, M2M requires an initial human setup to dictate where, when, and how data transfer takes place between machines. Once M2M communication is set up, data transfer is completed automatically.

M2M has many uses such as reducing equipment maintenance and increasing the ability to monitor equipment usage and location. These benefits allow for a monitoring system that requires less time and money to maintain.


 

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Wired M2M vs. Wireless M2M

M2M communication can utilize either wired or wireless communication methods to facilitate data transfer. Depending on the communication channel M2M utilizes, instances of M2M communication can be referred to as either “wired M2M” or “wireless M2M.”

Wired M2M communication is often facilitated by telephone lines, coaxial cables, fiber optic cables, or simply physical wiring between the devices that are communicating. Wireless M2M communication, on the other hand, is most often facilitated by radio waves (as with RFID), WiFi, or cellular networks.

M2M vs. IoT

With the popularization of modern cloud computing, M2M communication tends to be overshadowed by the Internet of Things (IoT). IoT refers to physical devices interconnected through software connectivity. There is some division as to how IoT is related to M2M. Some say that IoT is a subset of M2M, while others say it is a separate concept that builds upon the basis and technology of M2M.

Regardless, M2M and IoT heavily overlap in terms of both usage and technological basis. Their differences are semantic. M2M is centered around hardware and point-to-point communication. IoT utilizes cloud communication and constructs larger interconnected networks with help of internet-based platforms. In other words, the difference lies within methods of communication between machines. IoT connection stems from cloud-based software, while M2M usually connotes a point-to-point communication pattern between hardware components.

Essentially, IoT is an iteration of M2M that utilizes modern technology to improve upon an already-existing concept. IoT is used privately for smart home devices and wearables and in professional spheres such as manufacturing, healthcare, and logistics.

Machine to Machine (M2M) communications and IoT are both intermingled types of technology used to transmit data to users.

Conclusion

By facilitating communication between machines automatically, M2M communication reduces maintenance costs of equipment and increases efficiency in data transfer. It is this technology that has led to the modern concept of IoT, which relies on cloud computing. To learn more about professional use cases of M2M and IoT solutions, or to see how these solutions could work for you, request more information today!

Jennifer Halstead

Written by Jennifer Halstead

Jennifer Halstead, MBA, CPA brings more than 20 years financial industry experience to Link Labs. She began her career in finance within the pharmaceutical industry and has continued in both public accounting and private companies. She passed the CPA exam with the 3rd highest score in the state and completed her MBA with an accounting concentration (summa cum laude). Jennifer has worked with several software companies and has led multiple venture financing, merger and acquisitions deals. She has helped companies expand internationally and has managed the finance department of a startup to 33 consecutive quarters of growth prior to acquisition. After the acquisition, she served as the Controller of Dell Software Group’s Data Protection Division where she managed a portfolio of multiple hardware and software products to scale and achieve over triple-digit growth worldwide in 18 months. Jennifer brings a depth of finance experience to the Link Labs team.

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