It’s well documented that the Internet of Things (IoT) is central to the convergence of the digital and physical worlds. But while the potential is considerable, realising it has proved a challenge.
By Michael Karlsen, CEO @ Onomondo
It’s well documented that the Internet of Things (IoT) is central to the convergence of the digital and physical worlds. But while the potential is considerable, realising it has proved a challenge.
Many barriers to the adoption and scaling of projects exist today, but the major challenge has been the lack of interoperability across the ecosystem, and more specifically the siloed and fragmented nature of the connectivity pillar.
Traditional connectivity has served a purpose
By its very nature, IoT requires interoperability between its three constituent parts – hardware, connectivity, and cloud – but current technology stacks across these areas have remained fragmented.
Connectivity is the defining element of IoT, enabling seamless communication and data exchange between devices and unlocking crucial business insights. But traditional network connectivity was not purpose-built for IoT. These networks were designed for traditional voice and data communication, and thus present significant obstacles.
Firstly, this infrastructure often lacks the necessary protocols, bandwidth, or scalability to efficiently handle a large influx of geographically dispersed IoT device connections and data traffic. Further, users often have to source their own data plans to power IoT projects, where they can find themselves locked into a single provider. This inhibits the ability to explore alternative options, which can have serious consequences for global IoT deployments.
Additionally, operator lock-in prevents adjusting the quality and quantity of coverage to fit the needs of the project. For example, shipping companies often need to track cargo of differing value. For non-precious cargo, intermittent updates would suffice, but for highly valuable cargo, the company needs regular updates on the precise location of the shipment.
This example requires an agile connectivity solution, which recognises that no one IoT project is ever the same. They differ in needs and configurations, and requirements often change over time, meaning they need to be able to move between operators freely and seek the best deals on the market.
Yet, the status quo means that they will likely have to adopt and switch between a patchwork of IoT partnerships for different use cases, which becomes difficult to manage and expensive.
Connectivity is changing
Legacy forms of connectivity have been useful, but the downsides have triggered a new era of innovation, transforming connectivity from a siloed barrier at the middle of the ecosystem, to one that can be used to scale projects in an affordable, agile way.
One such example is represented by embedded connectivity. That is, rather than an afterthought, connectivity can be built into a device at a manufacturing level.
At a simple level, the role of a SIM card is to give devices a connection to send and receive data, the primary source of value offered by IoT. But today many users are charged for how many devices they have connected, regardless of how they are being used – that’s an expensive way to run things.
Not only does embedding connectivity through solutions like SoftSIM at the manufacturing level give more control at an operational level, but it can also translate to greater commercial control, such as only charging users for the data they actually need. Further, removing physical SIMs from devices can reduce idle power consumption by over 90%. This is simply not possible through traditional forms of connectivity.
Asking more from your network
Only recently has doubling device lifetime, halving battery consumption, and cutting costs from innovating within the network itself gone from fantasy to reality. Our industry is beginning to ask whether we can expect more from our network, because doing so remains the central way IoT can deliver on its potential.
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