Abstract:
Recently, Wireless Sensor Networks (WSNs) are increasingly utilized across various applications,
serving as alarm detectors and sensors. Several clustering algorithms have been developed to
enhance WSN energy efficiency and prolong network lifespan. These algorithms typically prioritize
energy conservation without addressing security concerns. In clustering topologies, the cluster
head (CH) holds a pivotal role, necessitating the selection of reliable and trustworthy CHs to
extend network longevity. Trust management emerges as a critical security measure, identifying
malicious nodes based on their behavior within the network. This study proposes a clustering
algorithm leveraging Particle Swarm Optimization (PSO) to integrate both security and energy
considerations during the CH selection process. The algorithm incorporates a trust mechanism
to ensure that selected CHs are devoid of malicious intent. It facilitates cluster formation and
CH selection, extensively evaluated through experiments comparing its performance with existing
algorithms. The findings demonstrate that the PSO-based approach effectively selects trustworthy
CHs while mitigating the influence of malicious nodes.
