Why wi fi has grown in popularity

If you have been watching closely, some have already started to appear. Bottom line: Key innovations in will be solutions that leverage AI to augment, enhance and simplify the life of network administrators. We will see IT and enterprise decision makers upgrade their WLAN infrastructure to Wi-Fi 6 for increased efficiency, more capacity, and improved connectivity at work, in hotels, schools, and stadiums.

Wi-Fi 6 access points will provide enhanced QoS to enable high-resolution, latency-sensitive video in ultra-high density user environments. This will replace the need for any wires in the home.

We will see a rapid rollout of the full Wi-Fi 6 ecosystem, including smartphones, routers, and access points. Consumers will experience the more immersive social media experience that they crave. With Xfinity xFi we are helping our users change the way they Wi-Fi by offering the best speed, coverage, control, and now, security to over 15M families across the US.

The research trend in [ 59 , 68 , 73 , 74 ] opens a horizon for higher precision Wi-Fi positioning, as they are compared to RSS based Wi-Fi positioning in local indoor [ 58 , 75 ], and wider metropolitan areas [ 62 , 76 , 77 ]. These applications take advantage of statistical variations of RF signals propagated from the wireless devices, caused by motion in the environment to design applications that can detect gestures and motion or those used for authentication and security.

Because of the widespread deployment and reach of Wi-Fi access points and the availability of Wi-Fi chip sets in almost every personal electronic device, as described in Sects. Motions in the environment cause multipath fading resulting in changes in the RSS and statistics of this fading behavior as it relates to the speed of motion.

The applications benefit from this behavioral change in the RSS to develop simple possibilities in detecting motion related human activity. In the middle of these activities, hand motion classification using RSS and the frequency offset of OFDM signals from Wi-Fi devices when motion occurs between two devices without any body mounted device was reported to differentiate nine hand gestures [ 80 ].

Research in that direction encouraged the consideration of a more advanced feature such as the CSI for similar applications and suddenly a large body of literature emerged for a variety of related applications for human computer interaction that made extensive use of the statistical behavior of CSI from Wi-Fi signals.

Approximately of these papers are classified in [ 81 ]. In gesture and motion detection using RF signals, the work takes advantage of the effects of motion on changing the multipath propagation of signals and the resulting change in statistical behavior of the features of RF cloud to classify human activity. Similarly, it is possible to use the uniqueness of these variations for individual human motions to identify a person. For example, when we train a computer to detect the keystroke of a person using the CSI from Wi-Fi signals, the same system can identify that person as the keystrokes of one individual vary from that of another.

This way, using the CSI for keystroke detection can also be used for human authentication for security purposes [ 83 ]. In recent years, a body of literature has also evolved for applications of the Wi-Fi RF cloud in authentication and security. Again, the simplest feature that is used is the RSS and it is possible to use the RSS behavior of body mounted sensors to identify a person [ 85 ].

Fundamentally, authentication is a binary decision-making process is it Alice or not? In authentication we compare RF feature characteristics of one person to others, while in activity classification we usually compare different activities of a single person. Such similarities have led to the emergence of literature in using more complex CSI from Wi-Fi signals for device-free authentication such as those in [ 86 ]. Another survey of these categories of applications is available in [ 87 ]. The problem of entity authentication is for security — whether an authorized individual is performing an action.

However, there is another branch of security application, concerned with generation of unique and random so that it cannot be guessed keys for encryption of the data communication between wireless devices sharing this natural broadcasting medium.

The fundamental idea comes from the fact that the wireless communication channel between two devices is reciprocal [ 88 , 89 ]. Therefore, when we measure the features of the communication channel between two devices, these features should be the same.

However, the details of the electronic implementation of a device is unique to itself and that results in measurements which are not identical.

If we can model these differences by a measurement noise, then we can quantize the measured feature based on the measurement noise to establish the same key at two ends of a wireless communication link.

A survey of these physical layer security systems is available in [ 90 , 91 ]. Geo-fencing, to ensure that Wi-Fi signal propagation can be confined to the inside of a building is another interesting application of radio propagation for information security [ 92 ]. The industry is waiting for the next popular application of Wi-Fi signals to enhance cyberspace intelligence further.

The paper was prepared as a part of a special issue on the 25 anniversaries of the International Journal of Wireless Information Networks, which was established in as the first journal fully devoted to wireless networks. In the paper, we began by describing how Wi-Fi has impacted our daily lives and why it is playing this important role. The rest of the paper illustrated how the RF cloud propagated from Wi-Fi devices enabled important cyberspace applications.

We began this part by describing how Wi-Fi positioning revolutionized indoor geolocation science and technology. Then we explained how the RF cloud of Wi-Fi devices has enabled diverse cyberspace applications such as motion and gesture detection as well as authentication and security to hopefully lead the way to another revolution in human computer interfacing. In the recent pandemic, parents and children are using Wi-Fi for work and school, and its untethered feature has made a big difference to the way people have coped with social distancing and quarantines.

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It had a range of about 80 feet, though, which isn't too bad. Devices that were compatible with this standard could be used to access the internet wirelessly. Connections using the The standard has been amended numerous times since inception. Each amendment boosted the top speed of the connection. They were marked by a letter or sometimes two letters that would follow In , two such amendments came about, increasing the top speed of the connection.

They both launched at the same time. Even though the The Wi-Fi Alliance hired the global brand consulting company, Interbrand, to come up with the name. Wi-Fi grew in popularity throughout the early s, being implemented into more houses and industries as the years went on. With the advent of In , with Today, the latest innovation of Wi-Fi is It operates on both the 2.

On the 5GHz band, the speed caps out at just over 1Gbps. The 2. If you're interested in learning more about 6GHz Wi-Fi , we've put together a handy guide discussing it. This new technology, however, is still in the very early stages. Wi-Fi has come such a long way since the AlohaNet days. Beginning as a method to connect college computers, it's become one of the most important technologies in many of our lives today.

Even though it's come a long way, the journey is not over.