Revolutionizing Wireless Sensor Networks through an Effective Approach for Quality of Service Enhancement
Adil M. Salman, H.I. Wahhab, Aseel B. Alnajjar, Bourair Al-Attar, Ravi Sekhar, Nilisha Itankar · Applied Data Science and Analysis · 2025
Data Collection of Wireless Sensor Networks (WSN) are integral parts of modern technology in various fields. Nonetheless, due to inherent limitations like energy, bandwidth, and computation, a prominent challenge that arises is providing Quality of service (QoS). WSNs consist of constrained resource networks of sensors (e.g., batteries); thus, routing and deployment techniques are significant for improving the QoS performance of WSNs. We have introduced a new method of High Secure Parallel Particle Swarm Routing Algorithm (HS-PPSRA) in this work to enhance the QoS in WSNs. The approach with the metrics is delta, hypervolume (HV), Result of Multi-objectives via Dynamic Weighting (RMDW), Non-Dominated Solution (NDS) concerning important data transfer, dynamic change of network features, and using adaptive routing algorithms. Results show significant improvements in QoS metrics including reduced latency, increased reliability, and energy utilization. For checking existing algorithms, the proposed HS-PPSRA outperforms past algorithms. This case resolves the issues associated with QoS enhancement and presents a holistic approach to transitioning WSNs