Source of Publication
© 2019 by the authors. 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.
Electrical and Computer Engineering
5G and beyond networks, Internet of Things, Named data networks, Wildfire management
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Ejaz, Waleed; Azam, Muhammad Awais; Saadat, Salman; Iqbal, Farkhund; and Hanan, Abdul, "Unmanned aerial vehicles enabled IoT platform for disaster management" (2019). All Works. 3824.
Indexed in Scopus
Open Access Type
Gold: This publication is openly available in an open access journal/series