Four Technologies Transforming M2M
October 1, 2022

Four Technologies Transforming M2M

IT

The machine-to-machine (M2M) industry would be worth $376 billion by 2032, according to researchers at Future Market Insights Blog. The same organisation calculates that $336 billion will be the entire amount from 2016 to 2021. The market for this kind of network is expanding quickly, according to the figures.

Additionally, as businesses look to the future, M2M networks are changing concurrently with this market expansion.

So let’s examine the condition of M2M today and the technology driving its development.

M2M is what?

The term “machine-to-machine” (M2M) refers to interactions between various devices or pieces of equipment that don’t need human intervention. M2M configurations enable innumerable devices to “speak” to one another and share data with one another to simplify everyday life and business operations since they are always linked to the internet and to one another.

The Internet of Things (IoT) concept, which defines a network of devices that are linked to the internet and to one another, and M2M are closely related.

Consider how a smart thermostat can modify the temperature in your house or how corporate hardware may place a new order for replacement components when it needs to be repaired. That all calls for M2M.

1. Intelligence generated artificially

Automation powered by artificial intelligence (AI) in the M2M space effectively supercharges processes and data.

AI excels at managing high-level, repetitive jobs. This may help you manage M2M data that you get using techniques like sensor fusion. The M2M process may or may not be linked to the internet, although these days it’s more likely to be routed over the web. As an example, imagine you have an assembly line where the machines are talking away to each other in M2M format — potentially utilising the network topology’s control plane. However, AI machines may utilise such data to automate business processes and improve things in real time regardless of whether the M2M process has internet access.

Even with AI, it still helps to have a person involved in the process to work out any kinks.

2. Wireless, short-range, and cellular M2M

Along with the evolution of M2M operations themselves, cellular technology as a whole is also advancing. While early M2M processes operated over 3G, they are likely now beginning to operate over 5G.

Short-range technologies like Bluetooth M2M and wired or cabled systems are alternatives to modern cellular technology.

Each of these crises represents unique cybersecurity risks, hence an intentional infrastructure strategy that considers the attack vectors around each of these communication modalities must be built for each. Whether it be a CISO, an outside consultant, or another position, it is someone’s responsibility.

3. Management of Machine Identity

Machine identity management claims to provide the same sort of monitoring to machines themselves based on the conventional identity access management (IAM) tactics used to monitor personnel utilising distributed computing platforms.

This implies that someone is always keeping an eye on what the robots are doing and saying. And it makes sense since IAM is always being upgraded to address the risks of the modern internet environment.

4. Minimalist M2M

Developing low-power, low-bandwidth internet of things (IoT) devices for machine-to-machine communications falls under the newly developing topic of lightweight machine-to-machine (LwM2M). The technique is explained as follows at OMA SpecWorks:

The machine-to-machine (M2M) environment’s requirements and sensor networks were taken into consideration while creating the lightweight M2M device management protocol.

The LwM2M protocol has a contemporary architectural design built on REST, and it is intended for remote administration of M2M devices and associated service enablement.

In light of this, experts see LwM2M as a step toward fusing conventional M2M with IoT.

Cybersecurity and the law Issues with M2M Networks

Although these new technologies are advancing M2M, some research suggests they will also raise several new trade technology and privacy issues.

For instance, Mitaksh Jain of “Medianama” examines the usage of “non-personal data,” pointing out that this is the category of data that M2M procedures usually fall under.

Nikhil Narendran, a partner at the law firm Trilegal, adds, “Some of this (M2M) data might be private, or valuable to the business, but when you make it open, there is a potential it could be available to other companies, and impair their competitive edge. Additionally, the government will have access to it.

The claim appears to be that companies will be exposed to other parties obtaining their data and utilising it in ways that may not be advantageous to them. When it comes to the development of M2M, it is something to watch.

Conclusion

As businesses quickly innovate to compete in high-tech industries, artificial intelligence, cellular, short-range and wired M2M, machine identity management, and lightweight M2M will be crucial in redefining what M2M implies. Remain tuned.

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