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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.Now

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.Now use the obtained path loss exponent for estimating some distances,( 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 Path loss exponent is 2.07

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

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