The OP’s service is below. Adding as a community wiki Answer and removing the option edits from the Concern.
Discover the Kindle using the smelling strategy described listed below. Nevertheless I ‘d still like to know if there’s a way to discover it that’s less overkill.
I found that the Kindle updates its contents daily while in deep sleep around 5: 30 -6: 30 AM. So I set up the shipment of a biggish pdf file through the kindle email so I ‘d ensure an enough time connection, end established three laptops with a Kali Linux running deal with airodump sniffing packages (customized from here: http://www.androidauthority.com/capture-data-open-wi-fi-726356/ )
The following procedure can be utilized to physically discover any active wifi gadget linked to a network:
3 lines of code in the terminal in at least three Kali Linux running gadgets (2D location, at least 4 receivers out of aircraft for 3D):
To begin screen mode on a wifi card (in this case wlan0, check on iwconfig if required):
airmon-ng start wlan0.
Airmon usually alters the card name to wlan[n] mon after this. Examine the wifi interface name on iwconfig and modify appropriately if the next line returns an associated error.
Then run airodump to discover your wifi network and its channel:
Go into Ctrl-C to end the capture when you keep in mind the wanted network’s channel
Run the following line to run airodump again only at the specified channel and record the data to the “allthedata.csv” file in the terminal directory site (generally the root for a live cd/usb if you didn’t change it). Change the square brackets by the channel number:
airodump-ng -c [channel number 1, 6 or 11 usually] -w allthedata wlan0mon.
I started the pcs before going to sleep and as I woke up a bit past the usual upgrade time, I struck ctrl-C to stop the capture and looked up the gadget on the allthedata.csv files by its MAC number which can be gotten at the router logs. There remain in reality 4 allthedata files with various extensions per capture, and on the xml you can find the producer of the device in the logs, so even if you don’t understand the mac address by looking up an Amazon branded gadget linked to your router you may discover the Kindle entry.
At the Kindle entry, discover the signal strength value and note it for all the receiver computers.
Then transform the worths from dbm to mW utilizing the following formula: mW =-LRB- **************************) ^( dBm/10) *1000
To triangulate the signal (for a 2D location), draw a chart with the position of the laptop computer wifi receivers and for every single pair of receivers, draw a line perpendicular to the line going through the points in a point inversely proportional to the square root of the mW power worths, as the signal drops of proportionally to the square of the distance (for 3D usage at least 4 receivers and a surface area in between the points).
The lines need to cross at the source of the emission – the Kindle was at a closet in this case. The margin of mistake had to do with 1m/3ft even with numerous concrete/brick walls in between the receivers and the emission.
This streamlined place method is only possible if the emitter lies in between the receivers, that is, a three-set of receivers (2D) form a triangle that has the emitter inside it.
Various receivers may have different antenna gains and fixing for it will greatly increase precision. A fast and dirty way of doing so is positioning the receivers at the exact same position from a constant power emitter (wifi router, for instance) and utilizing the signal strength value difference between them as a calibration aspect to be subtracted it from the signals received afterwards.