Secure and Energy-Efficient Route Adjustment Model for Internet of Things

Abstract

Wireless Sensor Networks (WSNs) is a key enabling technology for Internet of Things (IoT). In recent past decades, we have observed many technological issues including energy efficiency, security, privacy, data processing, adaptability, deployment and maintenance. However, the major concern in WSN and IoT are energy efficiency, and security. The main aim of this paper is to bring together innovative developments in the areas related to IoT and WSNs. In this paper, we design our proposed architecture for IoT-WSN environment with secure and energy aware manner. Our overall work is involved with Threshold based TDMA scheduling, Energy Efficient Secure Route Adjustment (ESRA), User Level Security, and Data Level Security using Biometric based Cryptography System. Further ESRA is designed with three set of processes: (1). Energy aware route identification using Type-2 Mamdani Fuzzy Logic (2). Path reliability identification based on path reliability using throughput, delay and packet loss ratio (3). Route adjustment. In this paper, the simulation is performed using MATLAB-R2016a software. Finally, we analyse the performance of our proposed work with respect to following metrics: connectivity ratio, energy consumption, delay time, packet failure rate, and encryption time.