A Course-Aware Opportunistic Routing Protocol for FANETs

被引:24
作者
He, Yixin [1 ]
Tang, Xiao [1 ]
Zhang, Ruonan [1 ]
Du, Xiaojiang [2 ]
Zhou, Deyun [1 ]
Guizani, Mohsen [3 ]
机构
[1] Northwestern Polytech Univ, Dept Commun Engn, Xian 710072, Peoples R China
[2] Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA
[3] Qatar Univ, Dept Comp Sci & Engn, Doha, Qatar
基金
中国国家自然科学基金;
关键词
Course information; routing protocol; transfer probability; UAV; AD-HOC NETWORKS; TRANSMISSION; SECURITY; SCHEME; DRONES;
D O I
10.1109/ACCESS.2019.2944867
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, unmanned aerial vehicles (UAVs) have gained popularity in various applications and services in both the military and civilian domains. Compared with the single-UAV scenario, flying ad hoc networks (FANETs) consisting of ground stations (GSs) and UAVs have the advantages of flexible configuration and wide coverage. However, due to significant mobility and highly dynamic topology, designing reliable and efficient routing protocols for FANETs is a challenging task. In this paper, we consider a network that comprises multiple flying UAVs and GSs to transfer messages by multi-hop relaying. We propose a routing protocol, named course-aware opportunistic routing for FANETs (CORF). The UAVs cooperatively exchange aeronautical data with others. The source UAV node (SUN) calculates the transfer probabilities to different neighbors by jointly considering the positions of its neighbors and the destination node. Based on the direction information and the transfer probabilities, the SUN selects the next-hop relay nodes among the neighbor UAVs and GSs. This process continues until the destination node receives the message. The simulation results demonstrate that, the proposed CORF protocol achieves significant performance superiority as compared with the traditional protocols in terms of message delivery rate and network latency.
引用
收藏
页码:144303 / 144312
页数:10
相关论文
共 43 条
[1]   Energy Aware Cluster-Based Routing in Flying Ad-Hoc Networks [J].
Aadil, Farhan ;
Raza, Ali ;
Khan, Muhammad Fahad ;
Maqsood, Muazzam ;
Mehmood, Irfan ;
Rho, Seungmin .
SENSORS, 2018, 18 (05)
[2]   DGPS/IMU integration-based geolocation system: Airborne experimental test results [J].
Ahn, Hyo-Sung ;
Won, Chang-Hee .
AEROSPACE SCIENCE AND TECHNOLOGY, 2009, 13 (06) :316-324
[3]   A comprehensive survey on vehicular Ad Hoc network [J].
Al-Sultan, Saif ;
Al-Doori, Moath M. ;
Al-Bayatti, Ali H. ;
Zedan, Hussien .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2014, 37 :380-392
[4]  
[Anonymous], 2016, ENG LET
[5]   Routing Protocols for Unmanned Aerial Vehicle Networks: A Survey [J].
Arafat, Muhammad Yeasir ;
Moh, Sangman .
IEEE ACCESS, 2019, 7 :99694-99720
[6]   Location-Aided Delay Tolerant Routing Protocol in UAV Networks for Post-Disaster Operation [J].
Arafat, Muhammad Yeasir ;
Moh, Sangman .
IEEE ACCESS, 2018, 6 :59891-59906
[7]  
Becker D., 2000, CS200006 DUJ U
[8]   Flying Ad-Hoc Networks (FANETs): A survey [J].
Bekmezci, Ilker ;
Sahingoz, Ozgur Koray ;
Temel, Samil .
AD HOC NETWORKS, 2013, 11 (03) :1254-1270
[9]   A Comparison of Stateless Position-based Packet Routing Algorithms for FANETs [J].
Bujari, Armir ;
Palazzi, Claudio E. ;
Ronzani, Daniele .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2018, 17 (11) :2468-2482
[10]   Standards, Security and Business Models: Key Challenges for the IoT Scenario [J].
Bujari, Armir ;
Furini, Marco ;
Mandreoli, Federica ;
Martoglia, Riccardo ;
Montangero, Manuela ;
Ronzani, Daniele .
MOBILE NETWORKS & APPLICATIONS, 2018, 23 (01) :147-154