@article{1444374,
      recid = {1444374},
      author = {Wang, Jingjing. and Jiang, Chunxiao,},
      title = {Flying ad hoc networks : cooperative networking and  resource allocation /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource.},
      year = {2022},
      abstract = {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 networks  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 UAVs 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.},
      url = {http://library.usi.edu/record/1444374},
      doi = {https://doi.org/10.1007/978-981-16-8850-8},
}