Multi-path Route Determination Method for Network Load Balancing in FAP-Based WSNs Using Fuzzy Logic

TL;DR

This paper proposes a fuzzy logic-based multi-path routing method to balance energy consumption and improve network longevity in wireless sensor networks under flooding attacks.

Contribution

It introduces a novel fuzzy logic approach to determine the optimal number of routing paths for energy balancing during flooding attacks.

Findings

Enhanced energy efficiency during flooding attacks

Reduced number of energy-depleted sensor nodes

Improved network lifetime

Abstract

A flooding attack in wireless sensor networks is a type of threat that shortens the lifetimes of the sensor networks. Although flooding attack prevention techniques have been proposed, if a continuous flooding attack occurs, the sensor node energy is depleted during detection. In this paper, we use multi-path routing to solve this problem. In order to balance the load of the sensor node, energy balancing of the sensor node is controlled by determining the number of pathways using fuzzy logic. By adjusting the energy balancing of the sensor nodes, the number of energy-exhausting sensor nodes can be reduced. As a result, when a flooding attack occurs, the energy efficiency of the sensor node is increased by determining the number of pathways.