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Paper Abstract and Keywords
Presentation 2018-06-22 14:50
Improving the Capacity of Multi-hop LoRa Network using Spreading-factor-based Network Clustering
Guibing Zhu, Chun-Hao Liao, Theerat Sakdejayont, Yoshiaki Narusue, Hiroyuki Morikawa (UTokyo) RCS2018-75
Abstract (in Japanese) (See Japanese page) 
(in English) LoRa is a low-power long-range IoT standard using the chirp spread spectrum (CSS) technique, and we
have been strived to further extend its coverage range by constructing a multi-hop relay network. In LoRa, the spreading factor (SF) is an important parameter which not only provides great flexibility between data rate and sensitivity, but also presents a new dimension for multiple access. To utilize such multiple-access dimension in our multi-hop LoRa network, we present a tree-based SF clustering algorithm (TSCA) that groups the nodes into several sub-trees rooted at a sink node. Each sub-tree transmits packets using a different SF. In contrast to the SF allocation on a single-hop network, our algorithm focuses on 1) ensuring the connectivity of all sub-trees, 2) offloading the traffic according to a number of nodes, data rates and network topologies of each sub-tree, 3) shortening the air time of each subnet by reducing the hop count. The simulation results show that our approach can significantly increase the network performance.
Keyword (in Japanese) (See Japanese page) 
(in English) LoRa / Mesh network / SF allocation / Clustering / TSCA / Air time / Parallel transmission / LPWA  
Reference Info. IEICE Tech. Rep., vol. 118, no. 101, RCS2018-75, pp. 237-242, June 2018.
Paper # RCS2018-75 
Date of Issue 2018-06-13 (RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF RCS2018-75

Conference Information
Committee RCS  
Conference Date 2018-06-20 - 2018-06-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagasaki University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) First Presentation in IEICE Technical Committee, Railroad Communications, Inter-Vehicle Communications, Road to Vehicle Communications, Resource Control, Scheduling, Wireless Communication Systems, etc. 
Paper Information
Registration To RCS 
Conference Code 2018-06-RCS 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving the Capacity of Multi-hop LoRa Network using Spreading-factor-based Network Clustering 
Sub Title (in English)  
Keyword(1) LoRa  
Keyword(2) Mesh network  
Keyword(3) SF allocation  
Keyword(4) Clustering  
Keyword(5) TSCA  
Keyword(6) Air time  
Keyword(7) Parallel transmission  
Keyword(8) LPWA  
1st Author's Name Guibing Zhu  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Chun-Hao Liao  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Theerat Sakdejayont  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Yoshiaki Narusue  
4th Author's Affiliation The University of Tokyo (UTokyo)
5th Author's Name Hiroyuki Morikawa  
5th Author's Affiliation The University of Tokyo (UTokyo)
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Date Time 2018-06-22 14:50:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-RCS2018-75 
Volume (vol) IEICE-118 
Number (no) no.101 
Page pp.237-242 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2018-06-13 

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