Most of you may know that IoT is not only helping autonomous machine to machine dialogue but also creating sustainable lifestyle patterns that are environment and climate friendly. But these millions of connected devices are splurging YBs (Yotta Bytes) of data streams and every personal, enterprise or public deployment faces significant challenges on the way streams of data is passed to cloud.

Innovation has led to creation of multitude of nascent and proven technologies right from cellular to satellite or Wi-Fi to LoRa or from BLE to UWB all of them have similar bottlenecks around the limitations of how much can be sent on our quintessential radio waves and that is “Bandwidth”, And ironically it is the same bandwidth limitations on who can handle how much is also causes strain on human or machine’s performance index.

…secure bandwidth management can be highly improved by bandwidth compression beyond the traditional methods and goes further than edge & fog computing methods…

But most of you may know how bandwidth limits performance, just as each IoT device, depending on its function, can generate varying amounts of data. Some devices, like security cameras, generate large amounts of data continuously, while others, like temperature sensors, might only send small packets intermittently. The cumulative effect can put a strain on network bandwidth.

Secure bandwidth management can be highly improved by bandwidth compression beyond the traditional methods and goes further than edge & fog computing methods. Bandwidth management is the key for future proofing IoT networks and it certainly offer handsome returns in-terms of not only cost optimization but also,

• Energy efficiency
• Improve rural connectivity
• Improved speed & latency
• Enhanced network scalability
• Efficient data transmission
• Improved network reliability

Hopefully, in coming time we would see better bandwidth management using compression that would allow scaling up massive IoT.