| dc.description.abstract | Wireless Sensor Networks (WSNs) have emerged as a critical technology in diverse applications, ranging
from environmental monitoring to precision agriculture. However, the inherent limitations of WSNs, such
as constrained energy resources and limited bandwidth, pose significant challenges for reliable data
transmission. Furthermore, the increasing vulnerability of WSNs to security threats, such as malicious
node attacks and data breaches, necessitates robust security mechanisms. This paper proposes a novel
composite routing technique for WSNs that integrates trust attributes and congestion-aware information to
enhance network performance, security, and energy efficiency. The proposed approach leverages trust
metrics to evaluate the trustworthiness of nodes based on their past behaviour, communication patterns,
and adherence to network protocols. By incorporating trust assessment into the routing decision-making
process, the technique aims to mitigate the impact of wormhole attacks and ensure data delivery through
reliable paths. Additionally, the proposed routing protocol considers network congestion levels to select
routes with minimal traffic, thereby improving data throughput and reducing packet delays. The
congestion-aware component dynamically adapts to changing network conditions, ensuring efficient
resource utilization and maximizing network lifetime. Simulation results demonstrate that the proposed
composite routing technique outperforms existing approaches in terms of packet delivery ratio by 92.1%,
energy efficiency by 3.1j, end-to-end latency by 85%, route disjointedness by 88.7 and resilience to various
attacks, making it a promising solution for secure and efficient communication in resource-constrained
WSN environments. | en_US |
