MODIFIED LEACH PROTOCOL WITH GWO OPTIMIZATION IN WSN
Objective
LEACH-based WSN energy efficiency is enhanced with GWO optimisation, selecting optimal cluster heads by minimising intra-cluster distance, energy use, and maximising nodes under control, thereby extending network longevity.
Abstract
The LEACH methodology for minimising energy consumption in WSN is improved by this MATLAB code. For this, we have employed the GWO optimisation technique. The least intra-cluster distance, lowest energy consumption, and most nodes under its control are used to elect the new cluster head. LEACH extends the network's life and increases energy efficiency. The LEACH system, which groups scattered sensor nodes into clusters, creates the clusters. The cluster head (CH), which is the node with the most residual energy, is the sensor node. All cluster nodes send data to CH, which subsequently forwards it to the base station directly or via other CHs. In the LEACH scheme, the cluster head selection process is not ideal. Therefore, we presented the GWO optimisation method for the LEACH protocol's best CH selection.
Keywords: Wireless Sensor Networks (WSN), LEACH Protocol, Grey Wolf Optimization (GWO), Cluster Head (CH) and Energy Consumption.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
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
Paper Publishing
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
