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.