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| March 1, 2016
A free, curated website and email subscription service focused on current trends and articles about the “Internet of Things”.
Article | March 5, 2020
Both Zigbee® and Bluetooth® wireless protocols are widely used for local communications in Internet of Things (IoT) applications, and there are some trade-offs to review in choosing the right one for your application. Each protocol has unique strengths that guide which solution to implement when designing a new network. In certain situations, one protocol will be a better fit than the other, though sometimes the right solution is to implement both together to take advantage of their combined strengths, as we will discuss in this article. To better understand these IoT protocol options, let's take a look at the advantages and limitations of Zigbee, followed by the same for three different "flavors" of Bluetooth: Classic, BLE, and BT Mesh. This will help explain the trade-offs and show some use cases for each, so that you can choose the optimal protocol for your IoT application - be it a smart city, industrial IoT, digital signage or other connected technology use case.
Tech companies are stepping up Internet of Things technologies to protect against COVID-19 and future viruses by using LiDAR and infrared cameras to detect a person’s body temperature from a distance or even handwashing. Keeping the data secure in such detection is also going to be a challenge. One approach is to put a chip inside an IoT device when it is manufactured to enable strong authentication and secure communication, mainly to guard against device counterfeiting. Hitachi Vantara has touted forward looking infrared cameras (FLIR) cameras to detect the temperature of a person from a distance. That way a passenger on a train or a worker or a customer in a store can be non-intrusively screened, according to a blog from Mark Jules, global vice president of smart spaces and video intelligence.
Big data as a term and a field, has been around for some time. It relates to the ways in which we study, analyze and process data sets that are too large to be handled by traditional data-processing software. Data can be described as ‘big’ when it demonstrates the four ‘V’ qualities: veracity (accuracy), velocity (speed), volume (size) and variety (both structured and unstructured). IoT, on the other hand, came much later and relates to devices, data and marrying them together. This area looks at making devices ‘smart’ (anything from watches to kettles) and collecting data about their performance or usage to influence consumer behavior.
GSMA Intelligence’s principal IoT analyst Sylwia Kechiche explores enterprises’ digital transformation journey. For better or worse, the IoT has captured the public attention. Yet, while news headlines focuses mostly on consumer devices being connected (speakers, cars, fridges, drones), this is just one part of the story. Purely connecting devices is not the IoT end-game. Rather, it is about the data these devices generate, the insights derived and actions taken as a result to create value and benefit consumers, enterprises and wider society. We are now at the point that IoT is real: it has moved beyond novelty factor and proof of concepts. MWC19 witnessed that, but it also left unanswered questions that are still being grappled with.
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