Fuzzy-DEEC Protocol And FPA-Optimized ECC For Secure And Energy-Efficient Wireless Sensor Network

Abstract

The current requirement in Internet of Things (IoT) applications is the use of Wireless Sensor Networks (WSN) which must be both energy-efficient and have secure data transmission. In this paper, a new hybrid system is presented, as well as Distributed Energy-Efficient Clustering (DEEC) protocol was set in conjunction with Elliptic Curve Cryptography (ECC) and Fuzzy Logic or what is called Fuzzy-DEEC Protocol. The protocol that is proposed focuses on improving the performance of WSN by intelligent cluster head selection and secure communications. ECC parameters are also optimized which minimizes computational demand and enhances performance by the usage of Flower Pollination Algorithm (FPA). As shown by our simulation, Fuzzy-DEEC Protocol is better than standard DEEC in several ways, regarding energy consumption, network lifetime, throughput, packet drop rate. In particular, the protocol attains 30-50% longer network life, 15-25% lower energy costs, 25-40% higher throughput, and 35-45% lower packet drop-rate. These benefits are attributed to the fact that selection of cluster heads has been optimised, energy aware routing and secure data transmission is implemented. The effectiveness of this protocol is confirmed with complete performance measures including quantity of active nodes surviving in time, network bandwidth, energy usage and packet drop percentage. This paper prepares the ground to more improved WSN safe and sustainable architecture and thus it is suited to WSN implementation in industrial monitoring, smart agriculture and remote sensing.