Special Issue on Software-defined disaster area UAV communication networks for extreme surveillance
摘要截稿:
全文截稿: 2019-11-30
影响因子: 2.816
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:信息系统 - 3区
• 小类 : 工程:电子与电气 - 3区
• 小类 : 电信学 - 3区
Overview
The monitoring ability of emerging technologies and applications to make them very suitable for extreme surveillance systems. A large number of applications related to extreme events, especially natural disasters, agriculture, water, forest, military, buildings, health monitoring, disaster relief & emergency management, area and industrial surveillance have already been studied from the emerging technologies perspective and most of these surveillance applications have attracted much research attention. Emerging technologies is increasingly becoming the most important and valuable source for insights and information in extreme events. It covers from everyone’s experiences to everything happening in the world. There will be lots of emerging technologies in extreme events surveillance video, disaster images, social media, voice and video, to name a few, only if their volumes grow to the extent that the traditional processing and analysis systems may not handle effectively
Unmanned Aerial Vehicles (UAVs) empower people to reach endangered areas under emergency situations. By collaborating with each other, multiple UAVs forming a UAV network (UAVNet) could work together to perform specific tasks in a more efficient and intelligent way than having a single UAV. UAV Nets pose special characteristics of high dynamics, unstable aerial wireless links, and UAV collision probabilities.
UAV networks may vary from slow dynamic to dynamic; have intermittent links and fluid topology. While it is believed that ad hoc mesh network would be most suitable for UAV networks yet the architecture of multi-UAV networks has been an understudied area. Software Defined Networking (SDN) could facilitate flexible deployment and management of new services and help reduce cost, increase security and availability in networks. Routing demands of UAV networks go beyond the needs of MANETS and VANETS.
To address these challenges, we propose a special issue aims to gather latest research and development achievements in the field of software-defined disaster area UAV communication networks for extreme surveillance. Original papers that address the most current issues and challenges are solicited. Topics of interest include, but are not limited to:
• Software defined radio test beds and experiments for extreme surveillance
• Disaster resilient location detection protocols for extreme events.
• Multi-hop and relay based communications for extreme surveillance
• Location detection technologies and protocols for extreme surveillance applications
• Software defined networks for architecture for under water search and surveillance applications
• Software defined networks for efficient Internet of multimedia things smart surveillance applications
• Software defined networking for traffic engineering measurement and management
• Software defined networking for cybersecurity applications
• Software defined extreme scale networks for bigdata applications
• Software defined networks with QoS for cloud applications
• Interaction, access, visualization of intelligent tools for extreme events
• Intelligent -oriented middleware for extreme-critical applications
• Quality of service(QoS) and priority aware models for extreme surveillance applications