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.

Highlights

  • The forests and wild-land in British Columbia (BC) cover more than 94 million hectares and they are the most diverse in Canada

  • We present a framework for research in unmanned aerial vehicles (UAVs)-enabled Internet of Things (IoT) platform for disaster management such as wildfire management

  • We present an architecture for a UAV-enabled IoT platform for disaster management and highlighted the key challenges in the area including wireless connectivity, data analytics, ground IoT network deployment, and experimental validation

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Summary

Introduction

The forests and wild-land in British Columbia (BC) cover more than 94 million hectares and they are the most diverse in Canada. There are approximately 8000 wildfires on average each year throughout Canada and an average of 2000 wildfires only in BC [1]. In the aftermath of disasters such as wildfires, information dissemination to and from citizens and authorities often involves the use of mobile network services to seek help, distribute critical information, and possibly to confirm the safety. The traffic on the cellular network typically increases substantially because of disaster. Efficient and reliable systems are required that can detect and monitor the fire as well as send notifications to the users as soon as possible. The Internet of Things (IoT) is an important paradigm that has opened a promising door towards catering to multitude of problems

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