Abstract: At least one example disclosed herein relates to determining if a change to a wireless network configuration should be determined. If it is determined that the change to the wireless network should be determined, a plurality of coverage monitors are generated within a site model, each coverage monitor specifying at least one coverage parameter for an associated region of the site model. The change to the wireless network may be determined by identifying a change to a configuration of a wireless access point.

Abstract: Techniques are provided for placing wireless access points on a site model. An indication of a newly detected wireless access point is received. Perceived signal strengths are received from the newly detected wireless access point or located wireless access points. A site model is selected based on the received perceived signal strengths. The newly detected wireless access point is placed on the selected site model.

Abstract: At least one example disclosed herein relates to determining if a change to a wireless network configuration should be determined. If it is determined that the change to the wireless network should be determined, a plurality of coverage monitors are generated within a site model, each coverage monitor specifying at least one coverage parameter for an associated region of the site model. The change to the wireless network may be determined by identifying a change to a configuration of a wireless access point.

Abstract: At least one example disclosed herein relates to determining if a change to a wireless network configuration should be determined. If it is determined that the change to the wireless network should be determined, a plurality of coverage monitors are generated within a site model, each coverage monitor specifying at least one coverage parameter for an associated region of the site model. The change to the wireless network may be determined by identifying a change to a configuration of a wireless access point.

Abstract: Techniques are provided for placing wireless access points on a site model. An indication of a newly detected wireless access point is received. Perceived signal strengths are received from the newly detected wireless access point or located wireless access points. A site model is selected based on the received perceived signal strengths. The newly detected wireless access point is placed on the selected site model.

Abstract: Techniques are provided for placing wireless access points on a site model. An indication of a newly detected wireless access point is received. Perceived signal strengths are received from the newly detected wireless access point or located wireless access points. A site model is selected based on the received perceived signal strengths. The newly detected wireless access point is placed on the selected site model.

Abstract: Techniques are provided for placing wireless access points on a site model. An indication of a newly detected wireless access point is received. Perceived signal strengths are received from the newly detected wireless access point or located wireless access points. A site model is selected based on the received perceived signal strengths. The newly detected wireless access point is placed on the selected site model.

Abstract: At least one example disclosed herein relates to determining if a change to a wireless network configuration should be determined. If it is determined that the change to the wireless network should be determined, a plurality of coverage monitors are generated within a site model, each coverage monitor specifying at least one coverage parameter for an associated region of the site model. The change to the wireless network may be determined by identifying a change to a configuration of a wireless access point.

Abstract: Examples disclosed herein relate to determining a primary wireless access point (WAP) object from coverage predictions for trial WAP configurations. Examples include determining that one of a plurality of WAP objects is a primary WAP object based on the coverage predictions and at least one coverage monitor.

Abstract: Examples disclose a storage medium encoded with instructions executable by a processor of a computing device, the instructions to define a perimeter within a wireless network to monitor a wireless device for violation of the perimeter. Further, the examples provide the instructions to receive a signal data associated with the wireless device. Additionally, the examples also disclose the instructions to detect a location of the wireless device based on the signal data to determine whether the wireless device has violated the defined perimeter.

Abstract: Examples disclosed herein relate to generating trial wireless access point (WAP) configurations. Examples include iteratively adjusting at least one WAP setting value to generate at least one trial WAP configuration based on a coverage prediction for an initial WAP configuration.

Abstract: A method and system for predicting radio frequency (RF) coverage in a multi-level wireless network is described herein. The multi-level wireless network includes the network management server and a plurality of wireless devices, where each of the wireless devices includes an RF transmitter. A two-dimensional wireless network configuration model of a vertical level of the multi-level wireless network is determined. A path loss in a propagation path of an RF signal from an RF transmitter of a wireless device to a grid point in the vertical level is determined. The path loss may be based on a plurality of path loss exponents. A signal strength loss due to one or more obstacles that intersect the propagation path is determined. A strength of the RF signal is predicted based on the path loss and the signal strength loss.

Abstract: A system includes a processor and a memory coupled to the processor. The processor receives a request to send a first data for a graphical representation in a first level of detail over a first time. The processor transforms a first stored data into the first data in the first level of detail. The first stored data is stored in a second level of detail over a second time and a third level of detail over a third time. The second level of detail is not identical to the third level of detail, and the second time is not identical to the third time. The first stored data is stored in the memory. The processor sends the first data in the first level of detail.

Abstract: A computer-implemented method for determining the location of a wireless device includes dividing an area into a grid and assigning the wireless device to a first portion of the grid. The method continues with calculating a first difference between a signal strength expected when the wireless device is at the first portion of the grid and a measured signal strength and assigning the wireless device to a second portion of the grid. The method also includes calculating a second difference between a signal strength expected when the wireless device at a second portion of the grid and a second measured signal strength and concludes with selecting the least one of the first and second differences to determine the location of the wireless device.

Abstract: A computer-implemented method for predicting signal coverage in a wireless network environment includes segmenting the wireless network environment into a plurality of zones, in which each one of a plurality of wireless communications devices operating in the wireless network environment is assigned to a corresponding one of the plurality of zones. The method continues with determining that a dependency exists between at least two signal reference relations from at least two of the plurality of zones and merging the at least two of the plurality of zones. The method concludes with adjusting the search space size for the optimal solution that predicts the signal coverage for the wireless network environment and locating at least one wireless access point within the wireless network environment based on the optimal solution.

Abstract: A method and system for predicting radio frequency (RF) coverage in a multi-level wireless network is described herein. The multi-level wireless network includes the network management server and a plurality of wireless devices, where each of the wireless devices includes an RF transmitter. A two-dimensional wireless network configuration model of a vertical level of the multi-level wireless network is determined. A path loss in a propagation path of an RF signal from an RF transmitter of a wireless device to a grid point in the vertical level is determined. The path loss may be based on a plurality of path loss exponents. A signal strength loss due to one or more obstacles that intersect the propagation path is determined. A strength of the RF signal is predicted based on the path loss and the signal strength loss.

Abstract: A system includes a processor and a memory coupled to the processor. The processor receives a request to send a first data for a graphical representation in a first level of detail over a first time. The processor transforms a first stored data into the first data in the first level of detail. The first stored data is stored in a second level of detail over a second time and a third level of detail over a third time. The second level of detail is not identical to the third level of detail, and the second time is not identical to the third time. The first stored data is stored in the memory. The processor sends the first data in the first level of detail.

Abstract: A computer-implemented method for predicting signal coverage in a wireless network environment includes segmenting the wireless network environment into a plurality of zones, in which each one of a plurality of wireless communications devices operating in the wireless network environment is assigned to a corresponding one of the plurality of zones. The method continues with determining that a dependency exists between at least two signal reference relations from at least two of the plurality of zones and merging the at least two of the plurality of zones. The method concludes with adjusting the search space size for the optimal solution that predicts the signal coverage for the wireless network environment and locating at least one wireless access point within the wireless network environment based on the optimal solution.

Abstract: A computer-implemented method for determining the location of a wireless device includes dividing an area into a grid and assigning the wireless device to a first portion of the grid. The method continues with calculating a first difference between a signal strength expected when the wireless device is at the first portion of the grid and a measured signal strength and assigning the wireless device to a second portion of the grid. The method also includes calculating a second difference between a signal strength expected when the wireless device at a second portion of the grid and a second measured signal strength and concludes with selecting the least one of the first and second differences to determine the location of the wireless device.