Towards avatar-based discovery for IoT services using social networking and clustering mechanisms - Archive ouverte HAL Access content directly
Conference Papers Year :

Towards avatar-based discovery for IoT services using social networking and clustering mechanisms

(1, 2) , (1, 2) , (1, 2) , (2)
1
2

Abstract

The Internet of Things (IoT) paradigm is defined as a complex large scale and distributed, and dynamic infrastructure composed of a huge number of heterogeneous devices. Identifying particular services provided by a massive number of IoT devices remains a challenging problem. The classical centralized discovery approaches are no more suitable. In our previous work, we have proposed an avatar-based Fog-Cloud architecture to support IoT object management. The avatars are defined as virtual entities of heterogeneous IoT objects. They are endowed with reasoning capabilities that make them able to coordinate with each other to accomplish an IoT application. Through this paper, we propose to extend our previous work by a new distributed mechanism for efficient discovery of IoT services relying on Social Networking (SN) and clustering methods. This is particularly interesting in large scale IoT systems since it allows to reduce the search space so that only the neighboring social avatars most apt to participate in the collaboration to accomplish an IoT application are considered. The proposed solution has been evaluated in connected vehicles context.
Fichier principal
Vignette du fichier
Article_2_Karima_SoWoT (36).pdf (664.22 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03009203 , version 1 (17-11-2020)

Identifiers

  • HAL Id : hal-03009203 , version 1

Cite

Karima Khadir, Nawal Guermouche, Thierry Monteil, Amal Guittoum. Towards avatar-based discovery for IoT services using social networking and clustering mechanisms. 16th International Conference on Network and Service Management (CNSM 2020), Nov 2020, Izmir (Virtual), Turkey. ⟨hal-03009203⟩
54 View
2 Download

Share

Gmail Facebook Twitter LinkedIn More