Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management

Waleed Ejaz, Muhammad Awais Azam, Salman Saadat, Farkhund Iqbal and Abdul Hanan
Additional contact information
Waleed Ejaz: Department of Applied Science & Engineering, Thompson Rivers University, Kamloops, BC V2C 0C8, Canada
Muhammad Awais Azam: Faculty of Telecom and Information Engineering, University of Engineering and Technology, Taxila, Punjab 47050, Pakistan
Salman Saadat: Systems Engineering Department, Military Technological College, Muscat 111, Oman
Farkhund Iqbal: College of Technological Innovation, Zayed University, Abu Dhabi 144534, UAE
Abdul Hanan: KUST (SE) Department, University of Management and Technology, Sialkot Campus, Sialkot, Punjab 51310, Pakistan

Energies, 2019, vol. 12, issue 14, 1-18

Abstract: Efficient and reliable systems are required to detect and monitor disasters such as wildfires as well as to notify the people in the disaster-affected areas. Internet of Things (IoT) is the key paradigm that can address the multitude problems related to disaster management. In addition, an unmanned aerial vehicles (UAVs)-enabled IoT platform connected via cellular network can further enhance the robustness of the disaster management system. The UAV-enabled IoT platform is based on three main research areas: (i) ground IoT network; (ii) communication technologies for ground and aerial connectivity; and (iii) data analytics. In this paper, we provide a holistic view of a UAVs-enabled IoT platform which can provide ubiquitous connectivity to both aerial and ground users in challenging environments such as wildfire management. We then highlight key challenges for the design of an efficient and reliable IoT platform. We detail a case study targeting the design of an efficient ground IoT network that can detect and monitor fire and send notifications to people using named data networking (NDN) architecture. The use of NDN architecture in a sensor network for IoT integrates pull-based communication to enable reliable and efficient message dissemination in the network and to notify the users as soon as possible in case of disastrous situations. The results of the case study show the enormous impact on the performance of IoT platform for wildfire management. Lastly, we draw the conclusion and outline future research directions in this field.

Keywords: Internet of Things; 5G and beyond networks; named data networks; wildfire management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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