A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN

Area of Science:

• Computer Science
• Network Engineering
• Artificial Intelligence

Background:

• Wireless Sensor Networks (WSNs) face challenges like limited power, inefficient routing, security vulnerabilities, and latency.
• Existing solutions often address individual issues, lacking a holistic approach to balance multiple critical factors.

Purpose of the Study:

• To develop a novel routing framework for WSNs that is both secure and power-efficient.
• To address the limitations of conventional routing strategies by providing a comprehensive solution.

Main Methods:

• An Improved Type-2 Fuzzy Logic System (IT2FLS) optimized by the Reptile Search Algorithm (RSA).
• Utilized weighted ensemble clustering and matched ensemble selection for robust cluster formation.
• Dynamically adapted routing decisions based on trust factors, node power, delays, and energy consumption.

Main Results:

• Achieved a 98% improvement in network lifetime.
• Enhanced Packet Delivery Ratio (PDR) by 80%.
• Reduced average power consumption by 45% compared to existing protocols.
• Decreased end-to-end delay by 25%.

Conclusions:

• The proposed IT2FLS framework, optimized by RSA, offers a robust and efficient routing solution for WSNs.
• The system effectively balances energy conservation, security, and Quality of Service (QoS).
• This research paves the way for secure, low-power, real-time data transmission in critical WSN applications.