The Purpose of this step is to find out the distance/range from the path loss exponent that you have found in the last step. Use any programming language/tools to solve your problem. Describe the outcomes in a report while submitting.

Now use the obtained path loss exponent for estimating some distances, using the following formula(I have ignored the noise term) Column A is the distance in meters and columns B-P are the RSSI measurements at those distances. Assume d0 as 1 meter and find Pr(d0) by averaging columns B1-P1. Assume that columns A is unknown, which you want to estimate based on the measurements of the column B-P.

However due to the noise there will be some errors in range/distance estimation. So calculate the distance error by comparing with the actual distance. Repeat this experiment for 5 different distances (rows 2-6) that are given in the spreadsheet and report the average error

1	-27	-26	-28	-26	-27	-31	-26	-28	-26	-26	-25	-28	-26	-26	-25
1.296	-36	-38	-36	-38	-37	-36	-37	-38	-42	-42	-41	-40	-42	-41	-40
1.834	-33	-35	-35	-35	-36	-37	-35	-38	-37	-37	-38	-39	-37	-35	-33
2.9	-50	-51	-50	-50	-50	-47	-47	-48	-48	-48	-47	-45	-47	-45	-49
3.528	-60	-60	-58	-63	-65	-63	-61	-59	-60	-59	-60	-59	-58	-61	-62
5.347	-68	-71	-67	-67	-69	-70	-64	-65	-60	-64	-68	-71	-65	-68	-66

-25	-28	-26	-26	-25
-41	-40	-42	-41	-40
-38	-39	-37	-35	-33
-47	-45	-47	-45	-49
-60	-59	-58	-61	-62
-68	-71	-65	-68	-66