Power learning security in wireless routers

Details Power learning security in wireless routers Power learning security in wireless routers

2011-05-24

2011-05-24

Ngo, Ricky (Department: 2464)

Multiplex communications

Diagnostic testing

Determination of communication parameters

C370S318000, C455S422100

Reexamination Certificate

active

07948914

ABSTRACT:
In described embodiments, elements of a wireless home network employ learned power security for the network. An access point, router, or other wireless base station emits and receives signals having corresponding signal strengths. Wireless devices coupled to the base station through a radio link are moved through the home network at boundary points of the home and the signal strength is measured at each device and communicated to the base station. Based on the signal strength information from the emitted signals measured at the boundary points and/or from measured signal strength information of signals received from the boundary points, the base station determines a network secure area. The base station declines permission of devices attempting to use or join the home network that exhibit signal strength characteristics less than boundary values for the network secure area.

REFERENCES:
patent: 7565152 (2009-07-01), Gandhi et al.
patent: 2002/0067701 (2002-06-01), Chen et al.
patent: 2002/0142774 (2002-10-01), Saint-Hilaire et al.
patent: 2004/0028017 (2004-02-01), Whitehill et al.
patent: 2005/0020256 (2005-01-01), Peikari
patent: 2005/0058151 (2005-03-01), Yeh
patent: 2006/0109923 (2006-05-01), Cai et al.

Affiliated with

Also associated with

Rating

Power learning security in wireless routers does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Power learning security in wireless routers, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Power learning security in wireless routers will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2672014