Title: Multi-overlay information management for IoT-oriented P2P network applications

Authors: Kazunori Ueda; Makoto Iwata; Ken-Ichi Baba; Shinji Shimojo

Addresses: School of Information, Kochi University of Technology, 185 Miyanokuchi, Tosayamada, Kami, Kochi, 782-8502, Japan ' School of Information, Kochi University of Technology, 185 Miyanokuchi, Tosayamada, Kami, Kochi, 782-8502, Japan ' Department of Information and Communications Engineering, Kogakuin University, 1-24-2 Nishi-shinjuku, Shinjuku-ku, Tokyo, 163-8677, Japan ' Cybermedia Center, Osaka University, 5-1 Mihogaoka, Ibaraki-shi, Osaka, 567-0047, Japan

Abstract: In the IoT environment, network applications such as various content/resource sharing, remote sensing, and so on play an important role to realise flexible and efficient communication on the network. If requested content/resource is retrieved from a huge number of various IoT devices, the amount of content/resource management information increases tremendously and most of IoT devices might not have enough computing/networking resource to maintain such management information. Thus, it is indispensable to introduce scalable management scheme and powerful delegate server for the IoT environment. This paper proposes a peer-to-peer information management scheme using multi-overlay network. The peer-to-peer networking is one of the promising ways to achieve scalability of the network applications and the multi-overlay network plays a role to provide a logical network structure adaptive to requested content/resource distribution. The evaluation results of a prototype with content-based and distance-based overlay networks revealed that we can implement IoT-oriented network applications while keeping practical search efficiency as well as saving network resource.

Keywords: internet of things; IoT; P2P; overlay network; multi-overlay; clustering.

DOI: 10.1504/IJSSC.2018.098686

International Journal of Space-Based and Situated Computing, 2018 Vol.8 No.4, pp.204 - 213

Received: 07 Jul 2018
Accepted: 11 Oct 2018
Published online: 29 Mar 2019 *

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