Original scientific paper
https://doi.org/10.32985/ijeces.14.9.6
Trust And Energy-Aware Routing Protocol for Wireless Sensor Networks Based on Secure Routing
G Muneeswari
; School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India
*
A Ahilan
; Department of Electronics and Communication Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, India
R Rajeshwari
; Department of Information technology, Panimalar Engineering College, Chennai, Tamil Nadu, India
K Kannan
; Electronics and Communication Engineering, R.M.K. College Of Engineering And Technology, Puduvoyal,Chennai Tamil Nadu, India.
C John Clement Singh
; Department of Electronics and Communication Engineering, Kings Engineering College, Sriperumbudur, Chennai, Tamil Nadu, India
* Corresponding author.
Abstract
Wireless Sensor Network (WSN) is a network area that includes a large number of nodes and the ability of wireless transmission. WSNs are frequently employed for vital applications in which security and dependability are of utmost concern. The main objective of the proposed method is to design a WSN to maximize network longevity while minimizing power usage. In a WSN, trust management is employed to encourage node collaboration, which is crucial for achieving dependable transmission. In this research, a novel Trust and Energy Aware Routing Protocol (TEARP) in wireless sensors networks is proposed, which use blockchain technology to maintain the identity of the Sensor Nodes (SNs) and Aggregator Nodes (ANs). The proposed TEARP technique provides a thorough trust value for nodes based on their direct trust values and the filtering mechanisms generate the indirect trust values. Further, an enhanced threshold technique is employed to identify the most appropriate clustering heads based on dynamic changes in the extensive trust values and residual energy of the networks. Lastly, cluster heads should be routed in a secure manner using a Sand Cat Swarm Optimization Algorithm (SCSOA). The proposed method has been evaluated using specific parameters such as Network Lifetime, Residual Energy, Throughpu,t Packet Delivery Ratio, and Detection Accuracy respectively. The proposed TEARP method improves the network lifetime by 39.64%, 33.05%, and 27.16%, compared with Energy-efficient and Secure Routing (ESR), Multi-Objective nature-inspired algorithm based on Shuffled frog-leaping algorithm and Firefly Algorithm (MOSFA) , and Optimal Support Vector Machine (OSVM).
Keywords
Wireless Sensor Network; Routing; Sensor Nodes; Aggregator Nodes; sand cat swarm optimization algorithm;
Hrčak ID:
309723
URI
Publication date:
14.11.2023.
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