Distributed Rendezvous placement for producer mobility support in NDN-IoT
Named Data Networking is a new networking architecture proposed as a potential design for the next generation of networks. However, supporting the mobility of producers in NDN-based IoT systems remains an open challenge for researchers to address. To tackle this problem, the NDN research group intro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2023/02/itmconf_cocia2023_03004.pdf |
| _version_ | 1797829335595352064 |
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| author | Bellaj Mohammed Naja Najib Jamali Abdellah |
| author_facet | Bellaj Mohammed Naja Najib Jamali Abdellah |
| author_sort | Bellaj Mohammed |
| collection | DOAJ |
| description | Named Data Networking is a new networking architecture proposed as a potential design for the next generation of networks. However, supporting the mobility of producers in NDN-based IoT systems remains an open challenge for researchers to address. To tackle this problem, the NDN research group introduced a solution called KITE [1]. Since this solution is an initial design, some issues to be resolved remain, including the rendezvous placement selection. The location of the rendezvous servers can significantly reduce the path stretch efficiently. This paper focuses on improving the KITE solution by addressing two specific issues. First, we aim to determine the optimal number of rendezvous servers to use in the network. Second, we seek to identify the best locations for the rendezvous servers to minimize the path stretch efficiently. We propose an evaluation metric called average hop count based on network centrality measures to select the number and the location for the rendezvous. We evaluate the Average hop count under different network centrality measures using random scale-free network topology. Our results show that the betweenness centrality measure performs better than other measures, and we, therefore, suggest using it as a metric for selecting the number of rendezvous servers and their locations. |
| first_indexed | 2024-04-09T13:19:51Z |
| format | Article |
| id | doaj.art-5965d9f7b7cf45a7b1a7ce6041ca3815 |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-04-09T13:19:51Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-5965d9f7b7cf45a7b1a7ce6041ca38152023-05-11T09:11:01ZengEDP SciencesITM Web of Conferences2271-20972023-01-01520300410.1051/itmconf/20235203004itmconf_cocia2023_03004Distributed Rendezvous placement for producer mobility support in NDN-IoTBellaj Mohammed0Naja Najib1Jamali Abdellah2National Institute of Posts and TelecommunicationsNational Institute of Posts and TelecommunicationsEcole Nationale des Sciences Appliquées de Berrechid, University of Hassan INamed Data Networking is a new networking architecture proposed as a potential design for the next generation of networks. However, supporting the mobility of producers in NDN-based IoT systems remains an open challenge for researchers to address. To tackle this problem, the NDN research group introduced a solution called KITE [1]. Since this solution is an initial design, some issues to be resolved remain, including the rendezvous placement selection. The location of the rendezvous servers can significantly reduce the path stretch efficiently. This paper focuses on improving the KITE solution by addressing two specific issues. First, we aim to determine the optimal number of rendezvous servers to use in the network. Second, we seek to identify the best locations for the rendezvous servers to minimize the path stretch efficiently. We propose an evaluation metric called average hop count based on network centrality measures to select the number and the location for the rendezvous. We evaluate the Average hop count under different network centrality measures using random scale-free network topology. Our results show that the betweenness centrality measure performs better than other measures, and we, therefore, suggest using it as a metric for selecting the number of rendezvous servers and their locations.https://www.itm-conferences.org/articles/itmconf/pdf/2023/02/itmconf_cocia2023_03004.pdf |
| spellingShingle | Bellaj Mohammed Naja Najib Jamali Abdellah Distributed Rendezvous placement for producer mobility support in NDN-IoT ITM Web of Conferences |
| title | Distributed Rendezvous placement for producer mobility support in NDN-IoT |
| title_full | Distributed Rendezvous placement for producer mobility support in NDN-IoT |
| title_fullStr | Distributed Rendezvous placement for producer mobility support in NDN-IoT |
| title_full_unstemmed | Distributed Rendezvous placement for producer mobility support in NDN-IoT |
| title_short | Distributed Rendezvous placement for producer mobility support in NDN-IoT |
| title_sort | distributed rendezvous placement for producer mobility support in ndn iot |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2023/02/itmconf_cocia2023_03004.pdf |
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