A Hybrid DAMFO-IWQPSO-HS Framework for Optimal Path Selection and Secure, Energy-Efficient Multipath Routing in Wireless Sensor Networks
DOI:
https://doi.org/10.31838/NJAP/07.01.38Keywords:
Wireless Sensor Networks, Optimal Path Selection, Data Aggregation, Secure Multipath Routing, Dynamic Adaptive Multi-Factor Optimization, Cluster-Based Networks, Improved Weighed Quantum Particle Swarm Optimization, Harmony SearchAbstract
Routing protocols continue to be an active research area in WSNs since they determine security and the lifetime of the communications system particularly in limited environments. This paper introduces the IWPSO-HS approach, application of the DAMFO method and design of the IRSA algorithm for efficient multipath routing for cluster-based WSNs. The primary issues addressed are those of energy conserving, enhanced sensing quality, longer network lifetime, and information transmission protection against attack. The latest methods are marred with the limitations of excessive power usage, reduced sensing efficiency, and compromise on security, thereby limiting WSNs in terms of increases and sustainability. Therefore, the algorithm used uses DAMFO for path optimization to reduce redundant data transmission and enhance the network operation. Parallelly, the suggested IWQPSO-HS approach also considers safe data transmission and energy usage distribution among sensor nodes. Implementation of the Improved RSA (IRSA) algorithm enhances data encryption to ensure secure existence with enhanced security against security attacks, such as eavesdropping and Man in the middle attacks prevalent in WSNs. The hybrid DAMFO-IWQPSO-HS method, with the inclusion of IRSA, gets rid of premature convergence and enhances overall robustness in the optimization process, along with additional security in transmitting data. The results are seen to demonstrate outstanding improvements, such as a 28% rise in energy conservation, a 35% rise in network life expectancy, an improvement of 92% in network coverage, and outstanding improvement in sensor data security, and thus the hybrid DAMFO-IWQPSO-HS-IRSA system is a better solution for future WSNs. Combining these optimization methods with more robust security measures offers proper solutions to today's WSNs problems, such as network management and optimization and resistance to security threats.
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