Affiliations: [a]
Department of Computer Science and Engineering, S.A. Engineering College (Autonomous), Thiruverkadu, Chennai, Tamil Nadu, India
| [b]
Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, India
| [c]
Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Tamilnadu, India
| [d]
Department of Computer Science & Engineering, Panimalar Engineering College, Chennai, Tamilnadu, India
Correspondence:
[*]
Corresponding author. D. Hemanand, Department of Computer Science and Engineering, S.A. Engineering College (Autonomous), Poonamallee - Avadi Road, Thiruverkadu, Chennai-600077, Tamil Nadu, India. E-mail: hemanand888@gmail.com.
Abstract: Wireless Sensor Networks are becoming increasingly popular in everyday life since they offer a variety of network structures for developing cutting-edge real-time applications. Wireless sensor devices have high energy consumption limitations, so it is necessary to handle excessive energy consumption by malicious nodes properly to improve network performance. Even though numerous studies have been conducted to increase the dependability of routing in WSNs, the existing routing strategies do not meet the required security constraints by using intelligent methods to protect the sensor nodes from malicious attack. To overcome this challenge a novel Trust Aware Clustering based Secure Routing Techniques (TAC-SRT) has been proposed to minimize the overall energy consumption, improved security to nodes and to maximize the network lifetime. The proposed method is carried out in three phases. In the first phase, the cluster head is selected by using K mean clustering. In the second phase, the trust value of each node is evaluated by using Mamdani fuzzy inference rule. In the third phase, the Tversky similarity index is used to find the normal or malicious node and establishes the shortest route. The Fully Homomorphic Elliptic Curve Cryptography technique is then used to perform secure data transmission. The effectiveness of the proposed strategy is examined using several parameters, such as the lifetime of the network, data confidentiality, active nodes, and energy consumption. The proposed technique improves the network lifetime by 23.01%, 17.4%, and 13.2% better than MOSFA, SecDL, and CAR-MOSOA respectively. Finally, the proposed method demonstrated superior performance in terms of delay, throughput, encryption time, network lifetime, and packet delivery ratio compared with existing techniques.
