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| Presentation | 2020-09-03 11:45 Study on the Effectivity of Rendezvous Search Using Random Walk in Large-Scale Unknown Networks Fumiya Toyoda, Yusuke Sakumoto, Hiroyuki Ohsaki (Kwansei Univ.)  CQ2020-37 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Many studies proposed a rendezvous search method that multiple searchers starting from different nodes on a network try to meet at the same node. Among the methods, rendezvous search methods on unknown networks, where each node can only obtain the information of its adjacent nodes, is expected for utilizing various networks, such as mobile ad-hoc network and social network. We has proposed a rendezvous search method (a random walk search method) using random walks in order to reduce the load of a flooding search method, which can perform the fastest rendezvous search on unknown networks. Although the random walk search method will be used in large-scale networks, we do not clarify its effectiveness. In this paper, we evaluate the effectiveness of the random walk search method in large-scale networks, by the comparison with the flooding search method. According to the results, we show the high effectiveness of the random walk search in large-scale scale-free networks. Especially, in the networks with 10, 000 nodes, the random walk search can finish as fast as the flooding search with while its load is 0.2% lower than that of the flooding search. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Rendezvous Search / Flooding / Random Walk / Large-Scale Network / Scale-Free Property / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 155, CQ2020-37, pp. 15-20, Sept. 2020. | |
| Paper # | CQ2020-37 | |
| Date of Issue | 2020-08-27 (CQ) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | CQ2020-37 |
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| Conference Information | |
| Committee | CQ |
| Conference Date | 2020-09-03 - 2020-09-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Osaka University Nakanoshima Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning in Wireless Communication, AI, 6G/Beyond 5G, LPWA, Drone Network, Communications in Extreme Environments, Wireless Networks, QoS and QoE in Wireless Communication, Wireless Resource Allocation, Wireless Transmission Quality, Cross layer Technology, Ad-hoc Network, IoT/M2M, Wireless, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2020-09-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on the Effectivity of Rendezvous Search Using Random Walk in Large-Scale Unknown Networks |
| Sub Title (in English) | |
| Keyword(1) | Rendezvous Search |
| Keyword(2) | Flooding |
| Keyword(3) | Random Walk |
| Keyword(4) | Large-Scale Network |
| Keyword(5) | Scale-Free Property |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Fumiya Toyoda |
| 1st Author's Affiliation | Kwansei Gakuin University (Kwansei Univ.) |
| 2nd Author's Name | Yusuke Sakumoto |
| 2nd Author's Affiliation | Kwansei Gakuin University (Kwansei Univ.) |
| 3rd Author's Name | Hiroyuki Ohsaki |
| 3rd Author's Affiliation | Kwansei Gakuin University (Kwansei Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-09-03 11:45:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2020-37 |
| Volume (vol) | vol.120 |
| Number (no) | no.155 |
| Page | pp.15-20 |
| #Pages | 6 |
| Date of Issue | 2020-08-27 (CQ) |
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