QoS Extension to a BATMAN based LoRa Mesh Network

被引:6
作者
Chache, Frederick M. [1 ]
Maxon, Sean [2 ]
Narayanan, Ram M. [1 ]
Bharadwaj, Ramesh [2 ]
机构
[1] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA
[2] US Naval Res Lab, 4555 Overlook Ave SW, Washington, DC 20375 USA
来源
2021 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2021) | 2021年
关键词
LoRa; BATMAN; mesh network; IoT; distributed network; QoS;
D O I
10.1109/MILCOM52596.2021.9653022
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To be useful, wireless sensor networks (WSNs) must be relied upon even when dispersed across environments that lack consistent internet access. To this end, we propose a mesh network architecture based on the Better Approach to Mobile Ad-hoc Networking (B.A.T.M.A.N.) algorithm in conjunction with the long range, low power communication protocol, LoRa, to transmit messages. Adaptations including methods of time synchronization, slotted ALOHA transmission and Quality of Service (QoS) considerations with a network-traffic-aware data routing protocol for a multi-source/multi-sink network configuration have been implemented. With this solution, nodes can create an ad-hoc network, sharing internet access and greatly expanding the network coverage without the need for any additional infrastructure. Our QoS-aware routing metrics have been tested in simulation and show performance improvements over traditional B.A.T.M.A.N. destination routing algorithms in these low data rate systems.
引用
收藏
页数:6
相关论文
共 24 条
[11]   Efficient Image Transmission Using LoRa Technology In Agricultural Monitoring IoT Systems [J].
Chen, Tonghao ;
Eager, Derek ;
Makaroff, Dwight .
2019 INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2019, :937-944
[12]  
Chen Y, 2013, THESIS UCL LONDON
[13]  
Deshpande M., PERCEPTRONS 1 NEURAL
[14]  
Ghalib S, 2019, 2 INT C FUTURISTIC T, P22
[15]   Mathematical Characterization and Simulation of LoRa [J].
Haritsa, Tulasi R. ;
Yashu, B. M. ;
Kumar, U. Veeresh ;
Suma, M. N. .
WIRELESS PERSONAL COMMUNICATIONS, 2020, 115 (02) :1481-1506
[16]  
Hideki L, 2007, 25 S BRASILEIRO TELE
[17]   Reinforcement Learning for Real-Time Optimization in NB-IoT Networks [J].
Jiang, Nan ;
Deng, Yansha ;
Nallanathan, Arumugam ;
Chambers, Jonathon A. .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2019, 37 (06) :1424-1440
[18]  
Lang J, 2011, B A T M A N PROTOCOL
[19]   LoRa-based Mesh Network for Off-grid Emergency Communications [J].
Macaraeg, Khazmir Camille Valerie G. ;
Hilario, Calvin Artemies G. ;
Ambatali, Charleston Dale C. .
2020 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC), 2020,
[20]   Slotted ALOHA on LoRaWAN-Design, Analysis, and Deployment [J].
Polonelli, Tommaso ;
Brunelli, Davide ;
Marzocchi, Achille ;
Benini, Luca .
SENSORS, 2019, 19 (04)