Cisco has been placing a lot of emphasis on delivering solutions that provide insights and understanding on how customers, patients, visitors and communities interact with their physical environments. Mobility and leveraging mobile devices in the environment has revealed itself as a very powerful way to gather critical business intelligence. This business intelligence is highly impacted by the resolution of the location-data and the demand to improve resolution and accuracy is increasing quickly. Apparently, this has not been missed by UBM. This year Cisco is honored to be selected as a Best of Interop Finalist for the Wireless award category for our innovations in improving location data resolution calculations.
It’s an honor to be recognized for our innovation and technological advancements in wireless, and we wanted to share a bit more about our submission with you.
What are Location Data Resolution Calculations?
Many systems acquire location analytics by relying solely on the probing that occurs from a mobile device to an access point. Unfortunately, this approach is delivering diminishing returns. It puts location analytics at the mercy of the mobile device vendors. What I mean by this is that as mobile device manufacturers look to improve mobile devices in regards to OS, drivers and battery life they are reducing the frequency of the probing from the mobile device. In addition, different mobile device manufacturer use different probing intervals. The need to do this makes sense from the mobile device manufacturer perspective, but it has an impact on the accuracy of the data acquired when representing movement of end users in the physical environment. If a user is recognized when they walk in the environment and then is identified a minute later, there is a lot of movement that can occur in that time. But the analytics only sees two data points and draws a straight line. Not a very accurate representation.
Cisco is leveraging what we know best, the network, to supplement the device probing. Bringing in network data allows us to gather higher data resolution regarding mobile device movement, equating to a more accurate representations of end user movement in the environment.
Why is This Important? Read More »
Tags: access point, accuracy, analytic, AP, battery life, data, device, driver, granular, interop, interval, location, mobile, movement, network, OS, Packet, probe, probing, resolution, rssi, Scalability, scale, wi-fi, wifi, wireless