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Mobile user Localization in WSN

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There are two stages in our experiments, one is to find the predicted values of the signal strengths (RSSI's) by using Grey prediction algorithm and second is to find the location coordinate of the mobile user by using Dynamic Triangular Location method. We have used grey prediction to predict the tendency of RSSI at rum-time stage and present analysis of predicted RSSI when mobile user is moving. Grey perdition is able to reduce the fluctuation of RSSI when mobile is moving. Location algorithms with grey prediction achieve smaller mean distance error.

Free download from Shareware Connection - There are two stages in our experiments, one is to find the predicted values of the signal strengths (RSSI's) by using Grey prediction algorithm and second is to find the location coordinate of the mobile user by using Dynamic Triangular Location m

Publisher: Bachan P | License: Freeware | Price: 0.00
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 05-06-2013 | Rating: 0 | Title: Mobile user Localization in WSN

Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/29922/1/Mobile_user_localization.zip

More downloads from Mobile user Localization in WSN publisher Bachan P:

Grey prediction algorithm for mobile user localization - this algorithm predicts the received signal strength for the mobile user to avoid fluctuation in received signal strength during localization of the mobile user(finding mobile user's location)

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Grey prediction algorithm for mobile user localization - this algorithm predicts the received signal strength for the mobile user to avoid fluctuation in received signal strength during localization of the mobile user(finding mobile user's location)

Time Division Multiplexing(TDM) - This will automatically give the output by taking one sinusoidal signal and triangular signal then combine then split it to get back the original signal

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