UAPM: An Urgency-Aware Packet Management for Disaster Management Using Flying Ad-Hoc Networks  

作　　者：Ali Khan Farooq Aftab Zhongshan Zhang 

机构地区：[1]School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China [2]School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China.

出　　处：《China Communications》2019年第11期167-182,共16页中国通信（英文版）

基　　金：supported in part by the Key Project of the National Natural Science Foundation of China under Grant 61431001;in part by the Open Research Fund of National Mobile Communications Research Laboratory,Southeast University,under Grant 2017D02;in part by the Key Laboratory of Cognitive Radio and Information Processing,Ministry of Education,Guilin University of Electronic Technology;in part by the Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services

摘　　要：The ever increasing demand of adhoc networks for adaptive topology and mobility aware communication led to new paradigm of networking among Unmanned Aerial Vehicles(UAVs)known as Flying ad-hoc Networks(FANETs).Due to their dynamic topology,FANETs can be deployed for disaster monitoring and surveillance applications.During these operations,UAVs need to transmit different disaster data,which consists of different types of data packets.Among them there are packets which need to be transmitted urgently because of the emergency situation in disaster management.To handle this situation,we propose a methodology of disaster data classification using urgency level and based on these urgency levels,priority index is assigned to data packets.An approach of Urgency Aware Scheduling(UAS)is proposed to efficiently transmit high and low priority packets with minimum delays in transmission queue.We take into account different scenarios of UAVs for disaster management and for N number of UAVs,we propose bio-inspired mechanism using behavioral study of bird flocking for cluster formation and maintenance.Furthermore,we propose a priority based route selection methodology for data communication in FANET cluster.Simulationresults show that our proposed mechanism shows better performance in the presence of evaluation benchmarks like average delay,queuing time,forward percentage and fairness.The ever increasing demand of adhoc networks for adaptive topology and mobility aware communication led to new paradigm of networking among Unmanned Aerial Vehicles(UAVs) known as Flying ad-hoc Networks(FANETs). Due to their dynamic topology, FANETs can be deployed for disaster monitoring and surveillance applications. During these operations, UAVs need to transmit different disaster data, which consists of different types of data packets. Among them there are packets which need to be transmitted urgently because of the emergency situation in disaster management. To handle this situation, we propose a methodology of disaster data classification using urgency level and based on these urgency levels, priority index is assigned to data packets. An approach of Urgency Aware Scheduling(UAS) is proposed to efficiently transmit high and low priority packets with minimum delays in transmission queue. We take into account different scenarios of UAVs for disaster management and for N number of UAVs, we propose bio-inspired mechanism using behavioral study of bird flocking for cluster formation and maintenance. Furthermore, we propose a priority based route selection methodology for data communication in FANET cluster. Simulationresults show that our proposed mechanism shows better performance in the presence of evaluation benchmarks like average delay, queuing time, forward percentage and fairness.

关 键 词：FANETs DISASTER management data PRIORITY clustering SELF-ORGANIZATION 

分 类 号：TN9[电子电信—信息与通信工程]