Green internet of things using UAVs in B5G networks: A review of applications and strategies

Abstract Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a significant interest in supporting many applications such as surveillance, agriculture, communication, transportation, pollution monitoring, disaster management, public safety, healthcare, and environmental preservation. Industry 4.0 applications are conceived of intelligent things that can automatically and collaboratively improve beyond 5G (B5G). Therefore, the Internet of Things (IoT) is required to ensure collaboration between the vast multitude of things efficiently anywhere in real-world applications that are monitored in real-time. However, many IoT devices consume a significant amount of energy when transmitting the collected data from surrounding environments. Due to a drone's capability to fly closer to IoT, UAV technology plays a vital role in greening IoT by transmitting collected data to achieve a sustainable, reliable, eco-friendly Industry 4.0. This survey presents an overview of the techniques and strategies proposed recently to achieve green IoT using UAVs infrastructure for a reliable and sustainable smart world. This survey is different from other attempts in terms of concept, focus, and discussion. Finally, various use cases, challenges, and opportunities regarding green IoT using UAVs are presented.

[1]  Radek Hofman,et al.  Tracking of atmospheric release of pollution using unmanned aerial vehicles , 2013 .

[2]  Bin Li,et al.  UAV Communications for 5G and Beyond: Recent Advances and Future Trends , 2019, IEEE Internet of Things Journal.

[3]  Daniel Gutiérrez-Reina,et al.  Evolutionary Deployment and Hill Climbing-Based Movements of Multi-UAV Networks in Disaster Scenarios , 2018, Applications of Big Data Analytics.

[4]  Prasant Misra,et al.  Leveraging Unmanned Aerial Vehicles in Mining Industry: Research Opportunities and Challenges , 2020 .

[5]  Tarik Taleb,et al.  Connection steering mechanism between mobile networks for reliable UAV's IoT platform , 2017, 2017 IEEE International Conference on Communications (ICC).

[6]  Alagan Anpalagan,et al.  Estimation of Distribution Algorithm for Resource Allocation in Green Cooperative Cognitive Radio Sensor Networks , 2013, Sensors.

[7]  Mohammad Samar Ansari,et al.  Predictive Estimation of Optimal Signal Strength From Drones Over IoT Frameworks in Smart Cities , 2023, IEEE Transactions on Mobile Computing.

[8]  Linpei Li,et al.  Energy-Efficient UAV-Enabled MEC System: Bits Allocation Optimization and Trajectory Design , 2019, Sensors.

[9]  Mohammed A. A. Al-qaness,et al.  An improved YOLO-based road traffic monitoring system , 2021, Computing.

[10]  Luis Felipe Gonzalez,et al.  Development and Validation of a UAV Based System for Air Pollution Measurements , 2016, Sensors.

[11]  Ismail Güvenç,et al.  Drones for smart cities: Issues in cybersecurity, privacy, and public safety , 2016, 2016 International Wireless Communications and Mobile Computing Conference (IWCMC).

[12]  Faisal Karim Shaikh,et al.  Energy harvesting in wireless sensor networks: A comprehensive review , 2016 .

[13]  Sehyun Park,et al.  Design and implementation of wired drone docking system for cost-effective security system in IoT environment , 2016, 2016 IEEE International Conference on Consumer Electronics (ICCE).

[14]  Jung-In Choi,et al.  Secure Utilization of Beacons and UAVs in Emergency Response Systems for Building Fire Hazard , 2017, Sensors.

[15]  Pascual Campoy Cervera,et al.  A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles , 2017, J. Sensors.

[16]  Fan Wu,et al.  Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System , 2017, Sensors.

[17]  Chandra Sukanya Nandyala,et al.  Green IoT Agriculture and HealthcareApplication (GAHA) , 2016 .

[18]  George Koutitas,et al.  Green Network Planning of Single Frequency Networks , 2010, IEEE Transactions on Broadcasting.

[19]  Halim Yanikomeroglu,et al.  The New Frontier in RAN Heterogeneity: Multi-Tier Drone-Cells , 2016, IEEE Communications Magazine.

[20]  Bernhard Rinner,et al.  Networked UAVs as aerial sensor network for disaster management applications , 2010, Elektrotech. Informationstechnik.

[21]  Ismail Güvenç,et al.  UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges , 2017, IEEE Communications Magazine.

[22]  Tarik Taleb,et al.  A green strategic activity scheduling for UAV networks: A sub-modular game perspective , 2016, IEEE Communications Magazine.

[23]  Muhammad Nauman Bashir,et al.  Green Mesh Network of UAVs: A Survey of Energy Efficient Protocols across Physical, Data Link and Network Layers , 2019, 2019 4th MEC International Conference on Big Data and Smart City (ICBDSC).

[24]  Salil S. Kanhere,et al.  Energy and Service-Priority aware Trajectory Design for UAV-BSs using Double Q-Learning , 2020, 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC).

[25]  Ammar Hawbani,et al.  GLT: Grouping Based Location Tracking for Object Tracking Sensor Networks , 2017, Wirel. Commun. Mob. Comput..

[26]  Noureddine Boudriga,et al.  Cooperative data muling from ground sensors to base stations using UAVs , 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

[27]  Keita Higuchi,et al.  Endless Flyer: A Continuous Flying Drone with Automatic Battery Replacement , 2013, 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing.

[28]  Ole B. Jensen Drone City: power, design and aerial mobility in the age of 'smart cities' , 2016 .

[29]  Dac-Binh Ha,et al.  System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA under Nakagami-m Fading , 2021, Sensors.

[30]  S. H. Alsamhi,et al.  Greening internet of things for greener and smarter cities: a survey and future prospects , 2019, Telecommunication Systems.

[31]  Erol Gelenbe,et al.  The impact of information technology on energy consumption and carbon emissions , 2015, UBIQ.

[32]  Ahmed El Oualkadi,et al.  Smart Industrial IoT Monitoring and Control System Based on UAV and Cloud Computing Applied to a Concrete Plant , 2019, Sensors.

[33]  Victor C. M. Leung,et al.  Green Internet of Things for Smart World , 2015, IEEE Access.

[34]  S. H. Alsamhi,et al.  Blockchain for Multi-Robot Collaboration to Combat COVID-19 and Future Pandemics , 2020, ArXiv.

[35]  Álvaro Marco,et al.  Unmanned Aerial Vehicle Based Wireless Sensor Network for Marine-Coastal Environment Monitoring , 2017, Sensors.

[36]  Fatemeh Afghah,et al.  An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations , 2019, IEEE Access.

[37]  Mahbub Hassan,et al.  Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges , 2018, IEEE Communications Surveys & Tutorials.

[38]  S. H. Alsamhi,et al.  Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities , 2019, IEEE Access.

[39]  Jing Jiang,et al.  Energy-Efficiency for IoT System With Cache-Enabled Fixed-Wing UAV Relay , 2020, IEEE Access.

[40]  Hongbo Zhu,et al.  Energy-Effective Data Gathering for UAV-Aided Wireless Sensor Networks , 2019, Sensors.

[41]  Hui Bian,et al.  UAV-Aided Wireless Communication Design With Energy Constraint in Space-Air-Ground Integrated Green IoT Networks , 2020, IEEE Access.

[42]  S. H. Alsamhi,et al.  An Efficient Channel Reservation Technique for Improved QoS for Mobile Communication Deployment Using High Altitude Platform , 2016, Wirel. Pers. Commun..

[43]  Thomas Lagkas,et al.  UAV IoT Framework Views and Challenges: Towards Protecting Drones as “Things” , 2018, Sensors.

[44]  Karina Mabell Gomez,et al.  Airborne Base Stations for Emergency and Temporary Events , 2013, PSATS.

[45]  F. E. S. Santos,et al.  Energy harvesting from wind and water for autonomous wireless sensor nodes , 2012, IET Circuits Devices Syst..

[46]  Silvia Santini,et al.  Connecting Wireless Sensor Networks to the Robot Operating System , 2013, ANT/SEIT.

[47]  Li Liu,et al.  BRTCO: A Novel Boundary Recognition and Tracking Algorithm for Continuous Objects in Wireless Sensor Networks , 2018, IEEE Systems Journal.

[48]  Haijian Sun,et al.  UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Design , 2018, 2018 IEEE International Conference on Communications (ICC).

[49]  S. Salhi,et al.  When Green Technology Meets Optimization Modeling: The Case of Routing Drones in Logistics, Agriculture, and Healthcare , 2020 .

[50]  Joshua Shlomo Berman Drone-based delivery of clinical specimens in a rural enviroment : a feasibility study , 2017 .

[51]  Sachin Kumar Gupta,et al.  A survey on recent optimal techniques for securing unmanned aerial vehicles applications , 2020, Trans. Emerg. Telecommun. Technol..

[52]  Santiago Marco,et al.  Environmental chemical sensing using small drones: A review. , 2020, The Science of the total environment.

[53]  Yinong Chen,et al.  Internet of intelligent things and robot as a service , 2013, Simul. Model. Pract. Theory.

[54]  Fatemeh Afghah,et al.  Fire Frontline Monitoring by Enabling UAV-Based Virtual Reality with Adaptive Imaging Rate , 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

[55]  P. Nijkamp,et al.  Smart Cities in Europe , 2011 .

[56]  Fatemeh Afghah,et al.  Wildfire Spread Modeling with Aerial Image Processing , 2020, 2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM).

[57]  Tarik Taleb,et al.  Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives , 2016, IEEE Internet of Things Journal.

[58]  Yuan Ren,et al.  The Wireless Solution to Realize Green IoT: Cellular Networks with Energy Efficient and Energy Harvesting Schemes , 2020 .

[59]  J. Breslin,et al.  Industry 4.0 towards Forestry 4.0: Fire Detection Use Case † , 2021, Sensors.

[60]  Kaharudin Dimyati,et al.  Unmanned Aerial Vehicles for Post-Disaster Communication Networks , 2020, 2020 IEEE 10th International Conference on System Engineering and Technology (ICSET).

[61]  C. Lucianaz,et al.  A solution for monitoring operations in harsh environment: A RFID reader for small UAV , 2015, 2015 International Conference on Electromagnetics in Advanced Applications (ICEAA).

[62]  Houbing Song,et al.  Smart Energy Efficient Hierarchical Data Gathering Protocols for Wireless Sensor Networks , 2015, Smart Comput. Rev..

[63]  Heng Wang,et al.  Feasibility Study of UAV use for RFID Material Tracking on Construction Sites , 2015 .

[64]  Walid Saad,et al.  Mobile Internet of Things: Can UAVs Provide an Energy-Efficient Mobile Architecture? , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[65]  Sherali Zeadally,et al.  Enabling Technologies for Green Internet of Things , 2017, IEEE Systems Journal.

[66]  Marjan Moradi,et al.  Energy-Efficient and QoS-aware UAV Communication using Reactive RF Band Allocation , 2020, 2020 30th International Telecommunication Networks and Applications Conference (ITNAC).

[67]  Xuemin Shen,et al.  Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization , 2020, IEEE Transactions on Vehicular Technology.

[68]  Ou Ma,et al.  Collaboration of Drone and Internet of Public Safety Things in Smart Cities: An Overview of QoS and Network Performance Optimization , 2019, Drones.

[69]  Carlos Eduardo Pereira,et al.  UAV relay network to support WSN connectivity , 2010, International Congress on Ultra Modern Telecommunications and Control Systems.

[70]  Young-Im Cho,et al.  Intelligent UAV in smart cities using IoT , 2016, 2016 16th International Conference on Control, Automation and Systems (ICCAS).

[71]  Dan Keun Sung,et al.  Energy-efficient maneuvering and communication of a single UAV-based relay , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[72]  Tinku Mohamed Rasheed,et al.  Rapidly Deployable Network for Tactical Applications: Aerial Base Station with Opportunistic Links for Unattended and Temporary Events ABSOLUTE Example , 2013, MILCOM 2013 - 2013 IEEE Military Communications Conference.

[73]  Salil S. Kanhere,et al.  Recharging of Flying Base Stations using Airborne RF Energy Sources , 2019, 2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW).

[74]  Rajesh Kumar,et al.  Energy Efficient Data Dissemination in Multi-UAV Coordinated Wireless Sensor Networks , 2016, Mob. Inf. Syst..

[75]  Leonardo Mostarda,et al.  Cognition in UAV-Aided 5G and Beyond Communications: A Survey , 2020, IEEE Transactions on Cognitive Communications and Networking.

[76]  Mohd. Samar Ansari,et al.  Tethered Balloon Technology in Design Solutions for Rescue and Relief Team Emergency Communication Services , 2018, Disaster Medicine and Public Health Preparedness.

[77]  Mostafa Zaman Chowdhury,et al.  Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks , 2020, IEEE Access.

[78]  Jun Xu,et al.  Internet of Things Applications: Animal Monitoring with Unmanned Aerial Vehicle , 2016, ArXiv.

[79]  Jae Sung Choi,et al.  Indoor localization of Unmanned Aerial Vehicle based on passive UHF RFID systems , 2012, 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

[80]  Sebastian Zander,et al.  Automated traffic classification and application identification using machine learning , 2005, The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l.

[81]  Özgür B. Akan,et al.  Energy Neutral Internet of Drones , 2018, IEEE Communications Magazine.

[82]  Ismail Güvenç,et al.  Detection, Tracking, and Interdiction for Amateur Drones , 2018, IEEE Communications Magazine.

[83]  Kwang-Cheng Chen,et al.  Toward ubiquitous massive accesses in 3GPP machine-to-machine communications , 2011, IEEE Communications Magazine.

[84]  Hui Lin,et al.  An Intelligent UAV based Data Aggregation Algorithm for 5G-enabled Internet of Things , 2021, Comput. Networks.

[85]  Ammar Hawbani,et al.  Zone Probabilistic Routing for Wireless Sensor Networks , 2019, IEEE Transactions on Mobile Computing.

[86]  Ivan Martinovic,et al.  Who do you sync you are?: smartphone fingerprinting via application behaviour , 2013, WiSec '13.

[87]  Zhenyu Na,et al.  Joint resource allocation for cognitive OFDM-NOMA systems with energy harvesting in green IoT , 2020, Ad Hoc Networks.

[88]  Lav Gupta,et al.  Survey of Important Issues in UAV Communication Networks , 2016, IEEE Communications Surveys & Tutorials.

[89]  Xuejun Yue,et al.  Cloud-Assisted UAV Data Collection for Multiple Emerging Events in Distributed WSNs , 2017, Sensors.

[90]  S. H. Alsamhi,et al.  Implementation of call admission control technique in HAP for enhanced QoS in wireless network deployment , 2016, Telecommun. Syst..

[91]  Dongjun Lee,et al.  Backstepping Control of Quadrotor-Type UAVs and Its Application to Teleoperation over the Internet , 2012, IAS.

[92]  S. Kanhere,et al.  Trajectory Optimization of Flying Energy Sources using Q-Learning to Recharge Hotspot UAVs , 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[93]  Abolfazl Razi,et al.  Wildfire Monitoring in Remote Areas using Autonomous Unmanned Aerial Vehicles , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[94]  Mohammed Atiquzzaman,et al.  Energy efficient device discovery for reliable communication in 5G-based IoT and BSNs using unmanned aerial vehicles , 2017, J. Netw. Comput. Appl..

[95]  Rakesh Kumar Jha,et al.  Power Optimization in 5G Networks: A Step Towards GrEEn Communication , 2016, IEEE Access.

[96]  Loretta Ichim,et al.  A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring , 2019, Sensors.

[97]  Javier Irizarry,et al.  UAS4SAFETY: The Potential of Unmanned Aerial Systems for Construction Safety Applications , 2014 .

[98]  Lixin Gao,et al.  Energy-Aware Tag Anticollision Protocols for RFID Systems , 2007, IEEE Transactions on Mobile Computing.

[99]  Sunghyun Choi,et al.  Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks , 2020, IEEE Network.

[100]  Kyu-Myung Choi,et al.  Possibilities of Uas for Maritime Monitoring , 2016 .

[101]  Ono Fumie,et al.  Resource allocation for data gathering in UAV-aided wireless sensor networks , 2014, 2014 4th IEEE International Conference on Network Infrastructure and Digital Content.

[102]  Bart Custers,et al.  Drone Technology: Types, Payloads, Applications, Frequency Spectrum Issues and Future Developments , 2016 .

[103]  J. Al-Jaroodi,et al.  Unmanned aerial vehicles applications in future smart cities , 2020 .

[104]  Ching-Hsien Hsu,et al.  Efficient and Secure Routing Protocol Based on Artificial Intelligence Algorithms With UAV-Assisted for Vehicular Ad Hoc Networks in Intelligent Transportation Systems , 2021, IEEE Transactions on Intelligent Transportation Systems.

[105]  S. H. Alsamhi,et al.  An Intelligent Hand-off Algorithm to Enhance Quality of Service in High Altitude Platforms Using Neural Network , 2015, Wirel. Pers. Commun..

[106]  S. H. Alsamhi,et al.  HAP antenna radiation pattern for providing coverage and service characteristics , 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[107]  Baihui Du A Precision Spraying Mission Assignment and Path Planning Performed by Multi-Quadcopters , 2018 .

[108]  Kaya Kuru,et al.  Planning the Future of Smart Cities With Swarms of Fully Autonomous Unmanned Aerial Vehicles Using a Novel Framework , 2021, IEEE Access.

[109]  Lei Shu,et al.  Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges , 2020, IEEE Access.

[110]  Ricardo S. Alonso,et al.  Edge Computing, IoT and Social Computing in Smart Energy Scenarios , 2019, Sensors.

[111]  Harish Viswanathan,et al.  Wide-area Wireless Communication Challenges for the Internet of Things , 2015, IEEE Communications Magazine.

[112]  Adnan Rafi Al Tahtawi,et al.  Design of Quadrotor UAV and Internet-of-Things Based Air Pollution Monitoring Systems , 2020 .

[113]  Ismail Güvenç,et al.  UAV assisted heterogeneous networks for public safety communications , 2015, 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[114]  Mohammad S. Obaidat,et al.  Wireless sensor network-based fire detection, alarming, monitoring and prevention system for Bord-and-Pillar coal mines , 2012, J. Syst. Softw..

[115]  Jameela Al-Jaroodi,et al.  Architectures and Strategies for Efficient Communication in Wireless Sensor Networks Using Unmanned Aerial Vehicles , 2016, Unmanned Syst..

[116]  Tae-Jin Lee,et al.  Service Area Scheduling in a Drone Assisted Network , 2017, ICCSA.

[117]  Silvano Bertoldo,et al.  Recharging RFID Tags for Environmental Monitoring Using UAVs: A Feasibility Analysis , 2015 .

[118]  Miguel Garcia,et al.  A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification , 2009, Sensors.

[119]  Syed Hassan Ahmed,et al.  A Novel Scheme for an Energy Efficient Internet of Things Based on Wireless Sensor Networks , 2015, Sensors.

[120]  Leonardo Lizzi,et al.  Object tracking through RSSI measurements in wireless sensor networks , 2008 .

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

[122]  José-Isidro Hernández-Vega,et al.  Internet of Things (IoT) for Monitoring Air Pollutants with an Unmanned Aerial Vehicle (UAV) in a Smart City , 2018 .

[123]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[124]  Azade Fotouhi Towards intelligent flying base stations in future wireless network , 2017, 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[125]  Abbas Jamalipour,et al.  Modeling air-to-ground path loss for low altitude platforms in urban environments , 2014, 2014 IEEE Global Communications Conference.

[126]  Ampalavanapillai Nirmalathas,et al.  Methodologies for assessing the use-phase power consumption and greenhouse gas emissions of telecommunications network services. , 2013, Environmental science & technology.

[127]  Pascal Knierim,et al.  Drone-based Privacy Interfaces: Opportunities and Challenges , 2016, WSF@SOUPS.

[128]  S.R.Boselin Prabhu,et al.  Evolving Constraints in Military Applications Using Wireless Sensor Networks , 2017 .

[129]  Abolfazl Razi,et al.  Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset , 2020, Comput. Networks.

[130]  Dimitrios Zorbas,et al.  Energy Efficient Mobile Target Tracking Using Flying Drones , 2013, ANT/SEIT.

[131]  Özgür Ulusoy,et al.  A framework for use of wireless sensor networks in forest fire detection and monitoring , 2012, Comput. Environ. Urban Syst..

[132]  Rui Zhang,et al.  Energy-Efficient Data Collection in UAV Enabled Wireless Sensor Network , 2017, IEEE Wireless Communications Letters.

[133]  Peter I. Corke,et al.  Development and Integration of a Solar Powered Unmanned Aerial Vehicle and a Wireless Sensor Network to Monitor Greenhouse Gases , 2015, Sensors.

[134]  Seng Wai Loke The Internet of Flying-Things: Opportunities and Challenges with Airborne Fog Computing and Mobile Cloud in the Clouds , 2015, ArXiv.

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

[136]  Imad Jawhar,et al.  UAVs for smart cities: Opportunities and challenges , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).

[137]  Tor Arne Johansen,et al.  Optimization of Wireless Sensor Network and UAV Data Acquisition , 2015, Journal of Intelligent & Robotic Systems.

[138]  Saqib Mehmood,et al.  Rescue Emergency Drone for Fast Response to Medical Emergencies Due to Traffic Accidents , 2017 .

[139]  Tarik Taleb,et al.  UAV-Based IoT Platform: A Crowd Surveillance Use Case , 2017, IEEE Communications Magazine.

[140]  Hyunbum Kim,et al.  Designing UAV Surveillance Frameworks for Smart City and Extensive Ocean with Differential Perspectives , 2018, IEEE Communications Magazine.

[141]  Faris. A. Almalki,et al.  Utilizing Drone for Food Quality and Safety Detection using Wireless Sensors , 2020, 2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP).

[142]  Nilanjan Dey,et al.  iGridEdgeDrone: Hybrid Mobility Aware Intelligent Load Forecasting by Edge Enabled Internet of Drone Things for Smart Grid Networks , 2020, International Journal of Parallel Programming.

[143]  Derrick Wing Kwan Ng,et al.  A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence , 2020, IEEE Journal on Selected Areas in Communications.

[144]  Fadhil Mukhlif,et al.  Energy Harvesting For Efficient 5G Networks , 2018, 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE).

[145]  Mujdat Soyturk,et al.  Analyzing the Effects of UAV Mobility Patterns on Data Collection in Wireless Sensor Networks , 2017, Sensors.

[146]  Heping Tao,et al.  Investigating small-scale water pollution with UAV Remote Sensing Technology , 2012, World Automation Congress 2012.

[147]  Hwee Pink Tan,et al.  Design and performance analysis of MAC schemes for Wireless Sensor Networks Powered by Ambient Energy Harvesting , 2011, Ad Hoc Networks.

[148]  Ammar Hawbani,et al.  Extracting the overlapped sub-regions in wireless sensor networks , 2019, Wirel. Networks.

[149]  Limei Peng,et al.  Green data center with IoT sensing and cloud-assisted smart temperature control system , 2016, Comput. Networks.

[150]  Salil S. Kanhere,et al.  AETD: An Application-Aware, Energy-Efficient Trajectory Design for Flying Base Stations , 2019, 2019 IEEE 14th Malaysia International Conference on Communication (MICC).

[151]  A. S. Hamilton,et al.  of Study of Solar Powered Unmanned Aerial Vehicle to Detect Greenhouse Gases by Using Wireless Sensor Network Technology , 2017 .

[152]  Mianxiong Dong,et al.  UAV-assisted data gathering in wireless sensor networks , 2014, The Journal of Supercomputing.

[153]  Sang-Jo Yoo,et al.  Flying path optimization in UAV-assisted IoT sensor networks , 2016, ICT Express.

[154]  Lin Shi,et al.  Throughput-aware path planning for UAVs in D2D 5G networks , 2021, Ad Hoc Networks.

[155]  Boselin Prabhu,et al.  Wireless Sensor Network Based Smart Environment Applications , 2017 .

[156]  Akshita Gupta,et al.  Collaboration of UAV and HetNet for better QoS: a comparative study , 2020, International Journal of Vehicle Information and Communication Systems.

[157]  Qingqing Wu,et al.  Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond , 2019, Proceedings of the IEEE.

[158]  Yi Zheng,et al.  Modeling and Simulation of Pathloss and Fading for Air-Ground Link of HAPs within a Network Simulator , 2013, 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.

[159]  Victor C. M. Leung,et al.  Green cell planning and deployment for small cell networks in smart cities , 2016, Ad Hoc Networks.

[160]  Loretta Ichim,et al.  Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture † , 2020, Sensors.

[161]  Poi Ngee Tan,et al.  A New Unmanned Aerial Vehicle Synthetic Aperture Radar for Environmental Monitoring , 2012 .

[162]  Neeraj Kumar,et al.  Blockchain for decentralized multi‐drone to combat COVID‐19 and future pandemics: Framework and proposed solutions , 2021, Trans. Emerg. Telecommun. Technol..

[163]  Victor C. M. Leung,et al.  Energy Efficiency as an Orchestration Service for Mobile Internet of Things , 2015, 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom).

[164]  Zhi Yang,et al.  An optimization method to improve the performance of unmanned aerial vehicle wireless sensor networks , 2017, Int. J. Distributed Sens. Networks.

[165]  Elisa Bertino,et al.  Certificateless Cryptographic Protocols for Efficient Drone-Based Smart City Applications , 2017, IEEE Access.

[166]  Ashutosh Srivastava,et al.  Tethered Balloon Technology for Green Communication in Smart Cities and Healthy Environment , 2019, 2019 First International Conference of Intelligent Computing and Engineering (ICOICE).

[167]  Rui Zhang,et al.  Energy-Efficient UAV Communication With Trajectory Optimization , 2016, IEEE Transactions on Wireless Communications.

[168]  Jie Xu,et al.  An Energy Efficient Framework for UAV-Assisted Millimeter Wave 5G Heterogeneous Cellular Networks , 2019, IEEE Transactions on Green Communications and Networking.

[169]  K. Dimyati,et al.  Distributed Clustering for User Devices Under UAV Coverage Area during Disaster Recovery , 2021, 2021 IEEE International Conference in Power Engineering Application (ICPEA).

[170]  Hongnian Yu,et al.  Green IoT: An Investigation on Energy Saving Practices for 2020 and Beyond , 2017, IEEE Access.

[171]  Carlos Miguel Tavares Calafate,et al.  A chemotactic pollution-homing UAV guidance system , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[172]  James P. G. Sterbenz Drones in the Smart City and IoT: Protocols, Resilience, Benefits, and Risks , 2016, DroNet@MobiSys.

[173]  Giacinto Gelli,et al.  On the Application of Machine Learning to the Design of UAV-Based 5G Radio Access Networks , 2020, Electronics.

[174]  Farid Melgani,et al.  A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery , 2017, Remote. Sens..

[175]  Walid Saad,et al.  Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs , 2015, IEEE Transactions on Wireless Communications.