Cisco Cisco Aironet 350 Mini-PCI Wireless LAN Client Adapter Guia Do Desenho

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Enterprise Mobility 4.1 Design Guide
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Chapter 13      Cisco Unified Wireless Location-Based Services
  Cisco Location-Based Services Architecture
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Support of Wi-Fi active RFID asset tags compliant with the Cisco Compatible Extensions for Wi-Fi 
Tags specification—Because the location-aware Cisco UWN solution implements RF 
Fingerprinting as a network-side model, there is no requirement for proprietary software in asset 
tags to detect access point RSSI and relay this information back to the network in order for the asset 
tag to be successfully localized. This enables the location-aware Cisco UWN to interoperate with 
active RFID asset tags from various vendors meeting the Cisco Compatible Extensions for Wi-Fi 
Tags specification, such as AeroScout, WhereNet, G2 Microsystems, InnerWireless (formerly 
PanGo Networks) and others. RFID asset tags that support the Cisco Compatible Extensions for 
Wi-Fi Tags specification allow for improved performance and the support of advanced features such 
as:
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Telemetry and sensor information
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Battery, panic, and tampering alerts
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Motion sensing notification
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High fidelity deterministic location using chokepoint triggers
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Better accuracy and precision—Cisco RF Fingerprinting yields significantly better performance than 
solutions employing only pure triangulation or signal strength lateration techniques. These 
techniques typically do not account for the effects of attenuation in the environment, making them 
highly susceptible to performance reductions. The advantages of Cisco RF Fingerprinting 
technology start where traditional approaches leave off. Cisco RF Fingerprinting begins with a 
significantly better understanding of RF propagation as it relates specifically to the environment in 
question. Except for the calibration phase in location patterning approaches, traditional lateration or 
angulation techniques typically do not take such environmental considerations directly into account. 
RF Fingerprinting goes a step further and applies statistical analysis techniques to the set of collected 
calibration data. This allows the Cisco Location Appliance to further refine predicted location 
possibilities for mobile clients, culling out illogical or improbable data and further refining accuracy. 
The net result of these methods is not only better accuracy but significantly improved precision over 
traditional solutions.
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Reduced calibration effort—Cisco RF Fingerprinting technology offers the key advantages of a 
location patterning solution but with significantly less calibration effort. Although both approaches 
support on-site calibration, the Cisco RF Fingerprinting approach requires less frequent 
re-calibration and can operate with larger inter-access point spacing. Cisco RF Fingerprinting can 
also share calibration models among similar types of environments and includes several 
pre-packaged models that can facilitate rapid deployment in typical indoor environments.
Additional information on these and other key advantages of Cisco RF Fingerprinting can be found in 
the “Location-Based Services Architecture” section of Wi-Fi Location-Based Services: Design and 
Deployment Considerations
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Overall Architecture
The overall architecture of location-aware Cisco UWN is shown in 
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