RFID system plays a major role in asset tracking but its performance may get challenged when it has to work in extreme atmospheric conditions. RFID system can play an important role in military or defense purpose to track the land mines, military containers etc. Keeping these things in mind, this research work was carried out for the military areas which are situated in arid and semiarid regions. In this research work, experimental investigation, statistical analysis and optimization of the low frequency RFID system read range has been carried out with respect to four major input parameters i.e. varying sandy soil grain sizes (0.45 mm, 0.78 mm, 1.18 mm, 1.6 mm and 2 mm) which is present in between RFID reader and tag, temperature (15 °C to 50 °C), humidity (35 %RH to 70 %RH) and sandy soil layer thickness (0 mm to 90 mm). Here the optimization is being done by using response surface methodology (RSM). From the investigations and optimization it was found that maximum value of read range which the LF RFID system can attain is 118.14 mm for the optimum combination of input variables i.e. temperature, soil layer thickness, relative humidity and soil grain size were found to be 25.606 °C, 0 mm, 35 % and 2 mm respectively.

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For the network planning in the field of telecommunication networks received signal strength plays an important role. The received signal strength gets affected due to the varying environment condition through which the signal propagates and it also depends on the distance between the location of signal transmitter and the receiver. So complete information about these parameters are very much requires for proper mobile network planning. By keeping all these challenges in mind, this study was aimed to determine the received signal strength for Long-Term Evolution (LTE), Second Generation (2G) and Third Generation (3G) wireless technologies with challenging environment conditions. All the experiments were conducted at Lajpat Nagar residential area which is located in New Delhi. During the experiments received signal strength for all the three above mentioned wireless technologies were monitored with respect to varying environment conditions (Temperature, Relative Humidity and Air quality index for Particulate Matter 2.5) and distance from the base station. Later the optimization of received signal strength was carried out by using response surface methodology. Measurement results showed that Second Generation (2G) signal strengths was significantly higher than Third Generation (3G) and Long-Term Evolution (LTE) and the best values obtained for received signal strength for Long-Term Evolution (LTE), Third Generation (3G) and Second Generation (2G) were -77.9264dBm, -60.0345dBm and -58.1280dBm respectively. ANOVA results shows good mathematical modeling between input and output responses.