Internet of Unmanned Things (IoUT) and Mission-based Networking

This book discusses the potential of the Internet of Unmanned Things (IoUT), which is considered a promising paradigm resulting in numerous applications including shipment of goods, home package delivery, crop monitoring, agricultural surveillance, and rescue operations. The authors discuss how IoUT nodes collaborate with each other in ad hoc manner through a Line-of-Sight (LoS) link to exchange data packets. Also discussed is how Unmanned Arial Vehicles (UAVs) can communicate with fixed ground stations, with an air traffic controller, or through a Non-Line-of-Sight (NLoS) link with a satellite-aided controller, generally based on preloaded missions. The authors go on to cover how to tackle issues that arise with dissimilar communication technologies. They cover how various problems can appear in inter-UAV and UAV-to-X communications including energy management, lack of security and the unreliability of wireless communication links, and handover from LoS to NLoS, and vice versa. In this book, the editors invited front-line researchers and authors to submit research exploring emerging technologies for IoUT and mission-based networking and how to overcome challenges.

Covers technical details of Internet of Unmanned Things (IoUTs) starting from the communication support to the application; Presents numerous applications for IoUTs, such as shipment of goods, home package delivery, crop monitoring, agricultural surveillance, and rescue operations; Includes contributions from invited front-line researchers and authors who present research exploring emerging technologies for IoUT and mission-based networking.

Autorentext
Chaker Abdelaziz Kerrache is an associate professor at the department of Computer Science, University of Laghouat, Algeria. He is currently the head of the Informatics and Mathematics Laboratory (LIM) and the manager of the Business Incubator at the University of Laghouat. He received his MSc. degree in computer science in 2012, and his Ph.D. degree in computer science in 2017, both at the University of Laghouat, Algeria. In 2013, he joined the Informatics and Mathematics Laboratory (LIM) as a research assistant and the Computer Networks Group (GRC) in 2015 as a visiting PhD student. His research activity is related to trust and risk management, secure multi-hop communications, vehicular networks, Named Data Networking (NDN), Unmanned Aerial Vehicles (UAVs), and Brain-to-Computer Interface (BCI).

Carlos Miguel Tavares De Araujo Cesariny Calafate is a Full Professor at the Universitat Politècnica de València (UPV) since December 2018 in the area of Computer Architecture and Technology, and his research focuses on Communication Networks. He has been teaching at the School of Informatics since 2004. As a full-time professor at the School of Informatics, he has always been teaching courses in the Computer Networks area. As proof of his quality as a teacher, in 2017 he received the Excellent Teacher Award by the Social Council of the UPV and the Valencian Government. In terms of research activity, he has two "sexenios": Periods 2005-2010, and 2011-2016. In 2014, his group received the best research group award (UPV). He has led different national, regional and local research projects. He is currently involved in the SmartLagoon European project, and the SETMAN national project (RTI2018-096384-B-I00), among others. He has participated in the scientific committee of more than 300 conferences sponsored by IEEE, ACM and IFIP. Among others, he has been TPC Chair of ICCCN 2018, DS-RT 2019/2020, IFIP Wireless Days 2013 and ICT-DM 2018, Workshops Chair of the CCNC Conference in 2016 and 2017, and General Chair of DS-RT 2021, ICCCN 2020, INSERT-IoT 2019, Goodtechs 2017, ICCNA 2017, and DroNet 2018, among others. He is currently an associate editor of several scientific journals including: Elsevier Vehicular Networks, MDPI Sensors, Mobile Information Systems, International Journal of Distributed Sensor Networks, MDPI Electronics, IET Smart Cities, IET Networks, MDPI Drones, etc. He is ranked among the World's Top 2% Scientists, and also among the top 100 Spanish researchers in the Computer Science & Electronics field. He is a founding member of the IEEE SIG on Big Data with Computational Intelligence and the IEEE SIG on Green Internet of Vehicles. To date he has published about 460 papers in journals, books and conferences, including 120 articles in international journals with JCR impact index (70 in Q1), and 213 articles in international conferences (mainly IEEE, ACM and IFIP), 50 of them classified as CORE A/GRIN class 2.

Abderrahmane Lakas is a Professor in the department of Computer and Network Engineering, UAE University. He received his PhD and MSc in Computer Systems from the University of Paris 6 (Pierre et Marie Currie), France respectively in 1996, and 1991. Prior to joining UAE University in 2003, he worked in the industry in various companies such as Nortel Networks (Canada, 1998), Newbridge Networks (Canada, 1997) and start-up company Netrake Corp. (US, Dallas, 2000), serving in various technical and managerial positions. Dr Lakas completed his post-doc at the School of Engineering, Computing and Mathematical Sciences, in Lancaster University, UK (1994-1996) before joining the School of IT and Engineering, University of Ottawa (1996-1997) as a Research Associate, working on various aspects of software engineering for telecommunication systems. At UAE University, Dr Lakas is the head of the CAST (Connected and Autonomous Systems) research team in the CIT and in charge of the CIT's ASIL (Auton

Inhalt
Introduction.- An Overview on IoUT and UAV-assisted applications.- Mobility, traffic models and network management for IoUT.- Energy efficiency in IoUT.- Security, privacy, and trust in IoUT.- Mobile edge computing in IoUT.- Performance, scalability, reliability and efficiency of Inter-UAV and UAV-to-X communications.- Machine-learning techniques for IoUT.- Inter-UAV communications over future internet architectures.- 5G and beyond for IoUT.- Explainable artificial intelligence and semantic representation and reasoning for IoUT.- Testbeds and validation of IoUT solutions.- Conclusion.<p