Affiliations: [a] Department of Computer Science and Engineering, Sethu Institute of Technology, India
| [b] Department of Information Science and Technology, CEG, Anna University, Chennai, India
| [c] Centre for Cyber-Physical Systems & School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
| [d] School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India
Correspondence:
[*]
Corresponding author. A.R. Rajeswari, Department of Computer Science and Engineering, Sethu Institute of Technology, India. E-mail: arrajeswari.2015@gmail.com.
Abstract: WSN plays a major role in the design of IoT system. In today’s internet era IoT integrates the digital devices, sensing equipment and computing devices for data sensing, gathering and communicate the data to the Base station via the optimal path. WSN, owing to the characteristics such as energy constrained and untrustworthy environment makes them to face many challenges which may affect the performance and QoS of the network. Thus, in WSN based IoT both security and energy efficiency are considered as herculean design challenges and requires important concern for the enhancement of network life time. Hence, to address these problems in this paper a novel secure energy aware cluster based routing algorithm named Trusted Energy Efficient Fuzzy logic based clustering Algorithm (TEEFCA) has been proposed. This algorithm consists of two major objectives. Firstly, the trustworthy nodes are identified, which may act as candidate nodes for cluster based routing. Secondly, the fuzzy inference system is employed under the two circumstances namely selection of optimal Cluster Leader (CL) and cluster formation process by considering the following three parameters such as (i) node’s Residual Energy level (ii) Cluster Density (iii) Distance Node BS. From, the experiment outcomes implemented using MATLAB it have been proved that TEEFCA shows significant improvement in terms of power conservation, network stability and lifetime when compared to the existing cluster aware routing approaches.
Keywords: Internet of Things (IoT), WSN, energy, trust, clustering and routing
