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2022 | Buch

Flying Ad Hoc Networks

Cooperative Networking and Resource Allocation

verfasst von: Dr. Jingjing Wang, Dr. Chunxiao Jiang

Verlag: Springer Singapore

Buchreihe : Wireless Networks

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Über dieses Buch

Relying on unmanned autonomous flight control programs, unmanned aerial vehicles (UAVs) equipped with radio communication devices have been actively developed around the world. Given their low cost, flexible maneuvering and unmanned operation, UAVs have been widely used in both civilian operations and military missions, including environmental monitoring, emergency communications, express distribution, even military surveillance and attacks, for example. Given that a range of standards and protocols used in terrestrial wireless networks are not applicable to UAV networks, and that some practical constraints such as battery power and no-fly zone hinder the maneuverability capability of a single UAV, we need to explore advanced communication and networking theories and methods for the sake of supporting future ultra-reliable and low-latency applications. Typically, the full potential of UAV network’s functionalities can be tapped with the aid of the cooperation of multiple drones relying on their ad hoc networking, in-network communications and coordinated control. Furthermore, some swarm intelligence models and algorithms conceived for dynamic negotiation, path programming, formation flight and task assignment of multiple cooperative drones are also beneficial in terms of extending UAV’s functionalities and coverage, as well as of increasing their efficiency. We call the networking and cooperation of multiple drones as the terminology ‘flying ad hoc network (FANET)’, and there indeed are numerous new challenges to be overcome before the idespread of so-called heterogeneous FANETs. In this book, we examine a range of technical issues in FANETs, from physical-layer channel modeling to MAC-layer resource allocation, while also introducing readers to UAV aided mobile edge computing techniques.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction of Flying Ad Hoc Networks
Abstract
Unmanned Aerial Vehicles (UAV) have been widely used both in military and in civilian applications. However, the cooperation of small and mini drones in a network is capable of further improving both the performance and the coverage area of UAVs. Naturally, there are numerous new challenges to be solved before the wide-spread introduction of multi-UAV based heterogeneous Flying Ad Hoc Networks (FANET), including the formulation of a stable network structure.
Jingjing Wang, Chunxiao Jiang
Chapter 2. Communication Channels in FANET
Abstract
Unmanned aerial vehicles (UAVs) have stroked great interested both by the academic community and the industrial community due to their diverse military applications and civilian applications. Furthermore, UAVs are also envisioned to be part of future airspace traffic. The application functions delivery relies on information exchange among UAVs as well as between UAVs and ground stations (GSs), which further closely depends on aeronautical channels.
Jingjing Wang, Chunxiao Jiang
Chapter 3. Seamless Coverage Strategies of FANET
Abstract
Given their low cost and high flexibility, unmanned aerial vehicles (UAVs) may find application both in military and in civilian scenarios for supporting seamless information services. More explicitly, UAVs can be viewed as “airborne access points” (AAPs), which are capable of providing high-quality line-of-sight (LOS) links upon avoiding blockage by tall buildings and trees on the ground.
Jingjing Wang, Chunxiao Jiang
Chapter 4. Cooperative Resource Allocation in FANET
Abstract
With the development of the Internet of Things (IoT) and artificial intelligence (AI), the IoT system with UAVs are becoming the main body as it has been widely used in civil and military fields. Moreover, as the demands of smart devices increase, the channel capacity of the increasingly prosperous Internet of Things also needs to be improved. As the UAV-aided space–air–ground network is provided, the problems of cross-tier interference, power control, and system capacity are waiting to be optimized. To summarize, these issues can be generalized as a kind of cooperative resource allocation problems. Hence, how to design a UAV-aided space–air–ground network and make most cooperative resource allocation becomes a pivotal issue.
Jingjing Wang, Chunxiao Jiang
Chapter 5. Mobile Edge Computing in FANET
Abstract
Characterized by their ease of deployment and bird’s eye view, unmanned aerial vehicles (UAVs) may be widely deployed both in surveillance and traffic management. In addition, UAVs have been widely used to provide enhanced information coverage as well as relay services for ground Internet of Things (IoT) networks. Considering the substantially limited processing capability, the IoT devices may not be able to tackle with heavy computing tasks. This impediment may be mitigated by employing the mobile edge computing (MEC) paradigm for offloading demanding and load-balance computational tasks from the UAV through a wireless transmission link. However, the offloaded information may become compromised by eavesdroppers, and latency and reliability should also be considered. Hence, how to design a UAV-aided mobile edge computing system that can achieve load-balance and efficient offloading has become a crucial issue.
Jingjing Wang, Chunxiao Jiang
Metadaten
Titel
Flying Ad Hoc Networks
verfasst von
Dr. Jingjing Wang
Dr. Chunxiao Jiang
Copyright-Jahr
2022
Verlag
Springer Singapore
Electronic ISBN
978-981-16-8850-8
Print ISBN
978-981-16-8849-2
DOI
https://doi.org/10.1007/978-981-16-8850-8

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