## 5 Case Study
**From point 34 to point 35:** The drone loses the connection with Bluetooth. Hence, the available signals are now satellite and ADS-B. This will cause the drone to maintain transmitting at state 2: ADS-B. The consumed energy is 0.1 mW. **From point 35 to point 36:** The drone detected another new signal from IoT. Hence, the available signals are now satellite, ADS-B and IoT. This will cause the drone to maintain transmitting at state 2: ADS-B. The consumed energy is 0.1 mW. **From point 36 to point 37:** The drone detected a new signal from Wi-Fi. Hence, the available signals are now satellite, ADS-B, IoT and Wi-Fi. This will cause the drone to stick to state 2: ADS-B. The consumed energy is 0.1 mW. **From point 37 to point 38:** The drone loses the connection with Wi-Fi and detected Bluetooth. Hence, the available signals are now satellite, ADS-B and Bluetooth. The drone stays in state 2: ADS-B. The consumed energy is 0.1 mW. **From point 38 to point 39:** The drone further loses the connection with Bluetooth and detected Wi-Fi. Hence, the available signals are now satellite, ADS-B, IoT and Wi-Fi. The drone stays in state 2: ADS-B. The consumed energy is 0.1 mW. **From point 39 to point 40:** the drone will move away from the region of IoT. Hence, the available signals are now satellite, ADS-B and Wi-Fi. This will cause the drone to maintain transmitting at state 2: ADS-B. The consumed energy is 0.1 mW. **From point 40 to point 41:** The drone further loses the connection with Wi-Fi. Hence, the available signals are now satellite and ADS-B. This will cause the drone to maintain transmitting at state 2: ADS-B. The consumed energy is 0.1 mW. **From point 41 to point 42:** The drone detected a new signal from Bluetooth. The detection of this signal will not change the connection. Hence, the drone will stay in state 2: ADS-B. It will maintain the consumed energy of 0.1 mW. **From point 42 to point 43:** The drone moved away from the region with Bluetooth. This will not change its initial connection with ADS-B. Hence, the drone will stay in state 2: ADS-B. It will maintain the consumed energy of 0.1 mW. **From point 43 to point 44:** The drone detected a new signal from Wi-Fi. Hence, the available signals are now satellite, ADS-B and Wi-Fi. Hence, the drone will stay in state 2: ADS-B. It will maintain the consumed energy of 0.1 mW. **From point 44 to point 45:** The only available RF-CS at this stage is satellite. The drone will only be in contact with the satellite, and thus be in state 7: satellite. The consumed energy is 283.1 mW. The results of this case study showed the advantages of the developed FSA algorithm in that it increases the range of detection on one hand, and reduces the consumed energy on the other. During the drone path scenario of this case study, the drone consumed only 2657.4681 mW. Furthermore, it showed the ability of drones to detect all types of the available RF-CS. Hence, the authorities can control the licensed drones by using available RF-CS devices, such as Bluetooth and Wi-Fi, which are already widely involved in mobile phones, as an example. Besides this, our suggested electronic ID would employ existing RF networks and solutions, such as GPRS (4G/5G), IoT networks that have been installed in smart cities, established satellite communications, and local ADS-B RF modem networks that have been deployed by the local aviation authority. Thus, the drones will be able to use these RF solutions in the same way that already-working RF systems have solved all electromagnetic issues, and select the available RF system that requires the least energy to utilize.