Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management

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.

[1]  Seonghyun Kim,et al.  Low-power image stitching management for reducing power consumption of UAVs for disaster management system , 2018, 2018 IEEE International Conference on Consumer Electronics (ICCE).

[2]  Nathaniel J. C. Libatique,et al.  Resilient Communications and Information Systems for Disaster-Preparedness Using UAVs, Beacons and Data Aggregators, via Delay-Tolerant Networks on Sub-GHz Frequencies , 2018, TENCON 2018 - 2018 IEEE Region 10 Conference.

[3]  Yuki Koizumi,et al.  Emergency Message Delivery Mechanism in NDN Networks , 2016, ICN.

[4]  Ismail Guvenc,et al.  Improved Throughput Coverage in Natural Disasters: Unmanned Aerial Base Stations for Public-Safety Communications , 2016, IEEE Vehicular Technology Magazine.

[5]  Thomas C. Schmidt,et al.  Information centric networking in the IoT: experiments with NDN in the wild , 2014, ICN '14.

[6]  Lei Shu,et al.  Internet of Things for Disaster Management: State-of-the-Art and Prospects , 2017, IEEE Access.

[7]  A. S. Madhukumar,et al.  Cognitive Radio for Aeronautical Communications: A Survey , 2016, IEEE Access.

[8]  Onye Erim,et al.  Optimized mobility models for disaster recovery using UAVs , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[9]  Alagan Anpalagan,et al.  A survey and taxonomy on nonorthogonal multiple‐access schemes for 5G networks , 2018, Trans. Emerg. Telecommun. Technol..

[10]  Byung-Seo Kim,et al.  Leveraging Named Data Networking for Fragmented Networks in Smart Metropolitan Cities , 2018, IEEE Access.

[11]  Athanasios V. Vasilakos,et al.  Information-centric networking for the internet of things: challenges and opportunities , 2016, IEEE Network.

[12]  Jonathan Loo,et al.  Towards Information-Centric Networking (ICN) Naming for Internet of Things (IoT): The Case of Smart Campus , 2017, ICFNDS.

[13]  M. Gerla,et al.  Networked medical monitoring in the battlefield , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[14]  Saurabh K Pandey,et al.  Cloud-Based Real Time Data Acquisition in IoT Environment for Post Disaster Management , 2018, 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT).

[15]  Walid Saad,et al.  Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications , 2017, IEEE Transactions on Wireless Communications.

[16]  Paul J. M. Havinga,et al.  Enabling mobility in heterogeneous wireless sensor networks cooperating with UAVs for mission-critical management , 2008, IEEE Wireless Communications.

[17]  Abderrahmane Lakas,et al.  A Trusted Lightweight Communication Strategy for Flying Named Data Networking , 2018, Sensors.

[18]  Jonathan Loo,et al.  Disaster Management System Aided by Named Data Network of Things: Architecture, Design, and Analysis , 2018, Sensors.

[19]  Maher Aljehani,et al.  Performance Evaluation of Multi-UAV System in Post-Disaster Application: Validated by HITL Simulator , 2019, IEEE Access.

[20]  Eiji Oki,et al.  Utility Based Scheduling for Multi-UAV Search Systems in Disaster-Hit Areas , 2019, IEEE Access.

[21]  Syed Hassan Ahmed,et al.  Enabling Push-Based Critical Data Forwarding in Vehicular Named Data Networks , 2017, IEEE Communications Letters.

[22]  Sherali Zeadally,et al.  Integration of Cognitive Radio Technology with unmanned aerial vehicles: Issues, opportunities, and future research challenges , 2015, J. Netw. Comput. Appl..

[23]  Catur Aries Rokhmana,et al.  Utilizing UAV-based mapping in post disaster volcano eruption , 2016, 2016 6th International Annual Engineering Seminar (InAES).

[24]  Tetsuo Kinoshita,et al.  Cooperation Scheme of Multi-UAVs for Evacuation Guidance Support , 2018, 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE).

[25]  David Hodgkinson,et al.  Aviation Law and Drones: Unmanned Aircraft and the Future of Aviation , 2018 .

[26]  Mounir Ghogho,et al.  Performance Analysis of UAV Enabled Disaster Recovery Networks: A Stochastic Geometric Framework Based on Cluster Processes , 2018, IEEE Access.

[27]  Ian F. Akyildiz,et al.  Help from the Sky: Leveraging UAVs for Disaster Management , 2017, IEEE Pervasive Computing.

[28]  Neeraj Suri,et al.  Named Data Networking: A survey , 2016, Comput. Sci. Rev..

[29]  Chang Wang,et al.  Coactive Design of Human-machine Collaborative Damage Assessment Using UAV Images and Decision Trees , 2018, 2018 Chinese Automation Congress (CAC).

[30]  Wen Liu,et al.  Damage assessment and 3d modeling by UAV flights after the 2016 Kumamoto, Japan earthquake , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[31]  Nathaniel J. C. Libatique,et al.  UAV aerial imaging applications for post-disaster assessment, environmental management and infrastructure development , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).

[32]  Bengt Ahlgren,et al.  A survey of information-centric networking , 2012, IEEE Communications Magazine.

[33]  Nikos Fotiou,et al.  A Survey of Information-Centric Networking Research , 2014, IEEE Communications Surveys & Tutorials.

[34]  Hong Yu,et al.  Study on disaster monitoring technology of mountain fire based on UAV transmission line inspection , 2017, 2017 IEEE International Conference on Unmanned Systems (ICUS).

[35]  Antonella Molinaro,et al.  Internet of Things via Named Data Networking: The support of push traffic , 2014, 2014 International Conference and Workshop on the Network of the Future (NOF).

[36]  Kishwer Abdul Khaliq,et al.  Information-Centric Networks: Categorizations, challenges, and classifications , 2014, 2014 23rd Wireless and Optical Communication Conference (WOCC).

[37]  Anis Koubaa,et al.  LSAR: Multi-UAV Collaboration for Search and Rescue Missions , 2019, IEEE Access.

[38]  Ilkay Altintas,et al.  Wildfire Spread Prediction and Assimilation for FARSITE Using Ensemble Kalman Filtering , 2016, ICCS.

[39]  Jaeyoung Cho,et al.  Multi-UAV Pre-Positioning and Routing for Power Network Damage Assessment , 2018, IEEE Transactions on Smart Grid.

[40]  Syed Hassan Ahmed,et al.  Interest forwarding in vehicular information centric networks: a survey , 2016, SAC.

[41]  Saad Walid,et al.  Mobile Internet of Things: Can UAVs Provide an Energy-Efficient Mobile Architecture? , 2016 .

[42]  Xilong Liu,et al.  Resource Allocation in UAV-Assisted M2M Communications for Disaster Rescue , 2019, IEEE Wireless Communications Letters.

[43]  Jie Yang,et al.  DSF-NOMA: UAV-Assisted Emergency Communication Technology in a Heterogeneous Internet of Things , 2019, IEEE Internet of Things Journal.

[44]  Mohamed Ibnkahla,et al.  Multiband Spectrum Sensing and Resource Allocation for IoT in Cognitive 5G Networks , 2018, IEEE Internet of Things Journal.

[45]  Sofie Pollin,et al.  Reshaping Cellular Networks for the Sky: Major Factors and Feasibility , 2017, 2018 IEEE International Conference on Communications (ICC).

[46]  Rui Zhang,et al.  Cellular-Connected UAV: Potential, Challenges, and Promising Technologies , 2018, IEEE Wireless Communications.

[47]  Jeremy Straub,et al.  An interconnected architecture for an emergency medical response unmanned aerial system , 2017, 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC).

[48]  Xiaodai Dong,et al.  Millimeter-Wave for Unmanned Aerial Vehicles Networks: Enabling Multi-Beam Multi-Stream Communications , 2018 .

[49]  Li-Chun Wang,et al.  On-Demand Density-Aware UAV Base Station 3D Placement for Arbitrarily Distributed Users With Guaranteed Data Rates , 2019, IEEE Wireless Communications Letters.

[50]  Marinos Themistocleous,et al.  Wildfire Prevention in the Era of Big Data , 2017, EMCIS.

[51]  Xiaodai Dong,et al.  Distributed and Multilayer UAV Networks for Next-Generation Wireless Communication and Power Transfer: A Feasibility Study , 2019, IEEE Internet of Things Journal.

[52]  Xingqin Lin,et al.  The Sky Is Not the Limit: LTE for Unmanned Aerial Vehicles , 2017, IEEE Communications Magazine.

[53]  Sofie Pollin,et al.  Coexistence of Terrestrial and Aerial Users in Cellular Networks , 2017, 2017 IEEE Globecom Workshops (GC Wkshps).

[54]  Mohamed Ibnkahla,et al.  Machine-to-Machine Communications in Cognitive Cellular Systems , 2015, 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB).

[55]  Syed Hassan Ahmed,et al.  Named data networking-based smart home , 2016, ICT Express.

[56]  Yang Jin,et al.  MANET for Disaster Relief based on NDN , 2018, 2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN).

[57]  Ghaith Hattab,et al.  Reconfigurable Wireless Networks , 2014, Proceedings of the IEEE.

[58]  Yu Lin,et al.  UAV-Assisted Emergency Communications: An Extended Multi-Armed Bandit Perspective , 2019, IEEE Communications Letters.