Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/6910
Title: Spreading Code Identification of Legal Drones in IoT Environment
Authors: Alheeti, Khattab
Al-ani, Muzhir
McDonald-Maier, Klaus
Issue Date: Aug-2019
Abstract: The widespread use of drones has become very common today with large-scale civil and military applications. In the next few coming years, the outlook is expected that the number of drones will reach millions. So, these need to be well organised and managed in order to achieve the benefits of IoT with this accelerated environment. Drones or Unmanned Aerial Vehicles (UAVs) must achieved a level of communications to authenticate a legal working. The proposed approach concentrated on preparing each drone with identification key based on the combination of its international sim number with the date of the first action and the local country code. This approach is called Drone IDentification (DID) that generate a unique code for each drone via spreading technique. In this case any drone not apply this regulation is considered as unauthenticated drone and does not allowed to fly. This approach is very important to establish drone regulation via IoT.
URI: http://localhost:8080/xmlui/handle/123456789/6910
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