A Novel Congestion Control Scheme using Firefly Algorithm Optimized Fuzzy-PID Controller in Wireless Sensor Network

Abstract

Wireless Sensor Networks (WSNs) consist of several sensor nodes, each of which may collect, receive and transmit data. In recent years, WSNs have emerged as essential technologies due to their ubiquity in applications such as the military, smartphones, disaster management, healthcare monitoring, and other surveillance systems. The inability to send data from the sensor node promptly and the impossibility of new data reaching the node's queue indicate of network congestion. The packet will be either discarded or delayed, which will cause more data loss, longer transmission delays, reduced network throughput, and lower network quality of service. To address this problem, this paper proposes an efficient and novel Firefly Algorithm-optimized Fuzzy-PID (FA-Fuzzy-PID) controller for congestion control in Wireless Sensor Networks (WSNs). The proposed control technique used a fuzzy control algorithm to overcome the standard PID controller's slow optimization parameter, low calculation accuracy, and limited adaptability.

Design and Analysis of ANFIS Controller for High Accuracy Magnetic Levitation (ML) System

“…The requirement for power can be written as [31] if fm is indeed the magnetic power produced by electrical current, fg is just the power due to gravity, and f is the netted power following up upon this circle.…”

“…Based on the nonlinear model of an attractive levitation temple of an electro-mechanical demonstrating, it can be portrayed with differential conditions [4,31]:…”