An Energy-Efficient Routing Algorithm for WSNs Using Fuzzy Logic

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Wireless sensor networks (WSNs) rely on battery-powered sensor nodes, necessitating energy-efficient data transfer.
• Data routing in WSNs often involves intermediate nodes forwarding information to a base station (BS).
• Existing routing algorithms face challenges in optimizing energy consumption and network longevity.

Purpose of the Study:

• To propose a novel energy-efficient routing algorithm using fuzzy logic (EERF) for wireless sensor networks.
• To enhance the operational lifespan of sensor nodes by minimizing energy depletion during data transfer.
• To address the ambiguity inherent in WSN environments through the application of fuzzy logic.

Main Methods:

• Developed an energy-efficient routing algorithm using fuzzy logic (EERF).
• Integrated fuzzy logic to process inputs such as remaining energy, distance to the base station, and the number of connected nodes.
• Compared EERF against established algorithms like energy-aware unequal clustering using fuzzy logic (EAUCF) and distributed unequal clustering using fuzzy logic (DUCF).

Main Results:

• The proposed EERF algorithm demonstrated superior performance over EAUCF and DUCF.
• EERF achieved lower energy consumption across the network.
• The algorithm enhanced network stability and the number of active sensor nodes per round.

Conclusions:

• EERF offers a significant advancement in energy-efficient routing for wireless sensor networks.
• Fuzzy logic effectively manages the complexities of WSN environments for optimized performance.
• The EERF algorithm provides a robust solution for extending the operational life of WSNs.