FLBRA: Fuzzy Logic Based Routing Algorithm for Indoor Wireless Sensor Networks

TL;DR

This paper introduces FLBRA, a fuzzy logic routing algorithm for indoor wireless sensor networks that improves packet delivery rates by effectively selecting optimal routes based on environmental signal parameters.

Contribution

The paper proposes a novel fuzzy logic-based routing algorithm that considers multiple environmental parameters to optimize route selection in indoor wireless sensor networks.

Findings

Increased packet delivery rate compared to RSSI-based protocols

Effective route selection using fuzzy logic considering RSSI, standard deviation, and PER

Simulation results validate the improved performance of FLBRA

Abstract

Considering the context of building management systems with wireless sensor networks monitoring environmental features, this paper presents a proposal of a Fuzzy Logic Based Routing Algorithm (FLBRA) to determine the cost of each link and the identification of the best routes for packet forwarding. We describe the parameters (Received Signal Strength Indicator - RSSI, Standard Deviation of the RSSI and Packet Error Rate - PER) for the cost definition of each path, the sequence of identifying best routes and the results obtained in simulation. As expected in this proposal, the simulation results showed an increase in the packet delivery rate compared to RSSI-based forward protocol (RBF).