Hybrid LoRa-IEEE 802.11s Opportunistic Mesh Networking for Flexible UAV Swarming

被引:25
作者
Davoli, Luca [1 ]
Pagliari, Emanuele [1 ]
Ferrari, Gianluigi [1 ]
机构
[1] Univ Parma, Dept Engn & Architecture, Internet Things IoT Lab, I-43124 Parma, Italy
基金
欧盟地平线“2020”;
关键词
UAV swarm; mesh networks; LoRa; LoRaWAN; IEEE; 802; 11s; integration; COORDINATION;
D O I
10.3390/drones5020026
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Unmanned Aerial Vehicles (UAVs) and small drones are nowadays being widely used in heterogeneous use cases: aerial photography, precise agriculture, inspections, environmental data collection, search-and-rescue operations, surveillance applications, and more. When designing UAV swarm-based applications, a key "ingredient" to make them effective is the communication system (possible involving multiple protocols) shared by flying drones and terrestrial base stations. When compared to ground communication systems for swarms of terrestrial vehicles, one of the main advantages of UAV-based communications is the presence of direct Line-of-Sight (LOS) links between flying UAVs operating at an altitude of tens of meters, often ensuring direct visibility among themselves and even with some ground Base Transceiver Stations (BTSs). Therefore, the adoption of proper networking strategies for UAV swarms allows users to exchange data at distances (significantly) longer than in ground applications. In this paper, we propose a hybrid communication architecture for UAV swarms, leveraging heterogeneous radio mesh networking based on long-range communication protocols-such as LoRa and LoRaWAN-and IEEE 802.11s protocols. We then discuss its strengths, constraints, viable implementation, and relevant reference use cases.
引用
收藏
页数:32
相关论文
共 74 条
[51]  
Network T.T, 2016, LIM DAT RAT PACK SIZ
[52]  
Neumann A., 2008, BETTER APPROACH MOBI, P1
[53]  
Nguyen HK, 2017, PROCEEDINGS OF THE 2017 2ND WORKSHOP ON RECENT TRENDS IN TELECOMMUNICATIONS RESEARCH (RTTR), P74
[54]   Evaluating flight coordination approaches of UAV squads for WSN data collection enhancing the internet range on WSN data collection [J].
Olivieri de Souza, Bruno Jose ;
Endler, Markus .
JOURNAL OF INTERNET SERVICES AND APPLICATIONS, 2020, 11 (01)
[55]   Design and Deployment of UAV-Aided Post-Disaster Emergency Network [J].
Panda, Kirtan Gopal ;
Das, Shrayan ;
Sen, Debarati ;
Arif, Wasim .
IEEE ACCESS, 2019, 7 :102985-102999
[56]  
Perkins C., 2003, Internet RFCs, DOI DOI 10.17487/RFC3561
[57]   Performance of a low-power wide-area network based on LoRa technology: Doppler robustness, scalability, and coverage [J].
Petajajarvi, Juha ;
Mikhaylov, Konstantin ;
Pettissalo, Marko ;
Janhunen, Janne ;
Iinatti, Jari .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 13 (03)
[58]  
Petäjäjärvi J, 2015, 2015 14TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS (ITST), P55, DOI 10.1109/ITST.2015.7377400
[59]   Slotted ALOHA on LoRaWAN-Design, Analysis, and Deployment [J].
Polonelli, Tommaso ;
Brunelli, Davide ;
Marzocchi, Achille ;
Benini, Luca .
SENSORS, 2019, 19 (04)
[60]  
Pressman A., 2020, DRONE IND FLIES HIGH