TOPSIS based ranking system for heterogeneous nodes in IoT

Abstract

The Internet of Things is an innovative approach and has made a substantial effect on both industrial and human’s professional life. It aims to increase the ubiquity of the internet and communication between heterogeneous devices and human beings with smart intelligence in a distributed manner. This requirement cannot be well managed by the existing security protocols because of the limited storage space and computation resources. Various threats have significant advantage using trust management scheme. However, it requires some other scheme to secure data in the IoT network. Nodes are having different communication technologies, different energy level, and different computing capacity and so on. This paper presents the Trust Based Cluster Head Selection using TOPSIS for IoT (TBCHS-T) for heterogeneous environment. It uses trust value, Residual Bandwidth Ratio (RBR), and Packet Receiving Delay (PRD) parameters to identify best node among neighbors and the same one is elected as cluster Head. The selection of energy, bandwidth and delay is highly desirable parameter for heterogeneous nodes in IoT. Furthermore, the inclusion of trust value will achieve selection of secured cluster head. The performance comparison between fuzzy logic based trust aware access control system (TAACS-FL) and TOPSIS based TBCHS is analyzed by using Network Simulator (NS-2). From the result it is evident that TBCHS-T has been achieved better improvements in terms of network performance and secured communication compared with TAACS-FL.