A Fuzzy Congestion Control in Wireless Sensor Networks based on Spider
Objective
The objective of this research is to develop a Fuzzy Congestion Control method for Wireless Sensor Networks using the Spider Monkey Optimization Algorithm to improve data transmission efficiency and reduce packet loss.
Abstract
Wireless Sensor Networks (WSN) are extensively employed in numerous areas, such as the medical and agricultural fields. A network is likely to experience information congestion when several sensors begin delivering data simultaneously. It is very difficult to control congestion because doing so could increase the packet loss ratio, which would lower efficiency and affect the system's overall performance. To address this problem, a Fuzzy Congestion Control in WSN based on the Spider Monkey Optimization Algorithm (FCC-WSN-SMOA) is proposed. The proposed method combines random early detection with the fuzzy proportional integral derivative controller. PID (proportional integral derivative) and fuzzy logic combine to help manage the target buffer queue. FLC regulates the transmitting rate of each node.
Keywords— Fuzzy Congestion Control in WSN based on the Spider Monkey Optimization Algorithm (FCC-WSN-SMOA), PID (Proportional Integral Derivative), Fuzzy Logic Controller (FLC), Multi-Path Routing, Wireless Sensor Network (WSN).
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software: Matlab 2020a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is Communication?
· About Communication
· Introduction to Communication
· How Communication Works?
· Importing the System Design, Characterization and Visualization
· Analyzing of BER tool
· Analyzing of Error Rate Test Console
· Generation of WSN
· WSN network creation
· Nodes Communication
· Clustering
· Routing
· Convolutional
· Equalization and Synchronization etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
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