Paper Info
Title
Towards A New Clustering Algorithm Based On Trust Management And Edge Computing For Iot
Abstract
Today Internet of things (IoT) is omnipresent bringing to us tracking and identification technologies, enhanced communication protocols and distributed intelligence in smart objects. Unfortunately, IoT is not far from security risks since it is an heterogeneous network comprising different nodes status. Malicious nodes impact harmfully on IoT network stability. In addition, IoT objects have limited capacities in processing, storage and batteries. To improve their batteries lifetime, objects workload should be bend down. Taking into consideration these IoT issues, we propose in this paper a clustering mechanism based on trust management and edge computing for IoT. The security intervention is based on excluding malicious nodes from an IoT network as well as by disseminating reliability between worthy nodes in favour of trust management. In order to minimize energy consumption, we established a one hop clustering mechanism based on density of nodes in an IoT network, trust and energy levels of nodes. All clusters are supervised by base stations in the edge of the network. We also integrate edge computing to migrate data processing and storage to base stations.
Year
DOI
Venue
2019
10.1109/IWCMC.2019.8766492
2019 15TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC)
Keywords
Field
DocType
IoT, trust management, clustering, edge computing
Edge computing,Base station,Computer science,Computer network,Dissemination,Smart objects,Heterogeneous network,Cluster analysis,Energy consumption,Communications protocol,Distributed computing
Conference
ISSN
Citations 
PageRank 
2376-6492
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Nadia Kammoun100.34
Ryma Abassi22410.45
Sihem Guemara El Fatmi34013.24