Develop a wireless sensor network with multi-hop routing for efficient energy consumption and extended lifespan. Use a cost function based on residual energy and proximity to detect false nodes.
We outline a wireless sensor network (WSN) routing system with excellent throughput, dependability, and efficiency. To reduce energy consumption and increase network longevity, we employ a multi-hop topology. In order to find the parent node or forwarder, we offer a cost function. The recommended cost function chooses the parent node that is nearest to the sink and has the largest residual energy. The residual energy parameter balances energy usage across sensor nodes while the distance parameter assures successful packet delivery to the sink. Our suggested approach minimises node energy consumption, hence maximising network lifespan. We will create non-uniform sized clusters, which is a more useful method for grouping WSN nodes. We then use ambient parameters to implement the detection of false or malicious nodes. False nodes are self-serving nodes that harm the reputation of the network; they can be identified by combining environmental characteristics with a false identification approach that is based on trust and reputation. The outcomes of the suggested method will be verified using trust computation and a rate of false or malicious node detection.
Keywords-- Wireless Sensor Network, Cost Function, Energy Consumption, Non Uniform Sized Clusters, False or Malicious Nodes, Trust and Reputation Based False Identification Strategy with Environmental Parameters (TRS & EP).
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Software: Matlab 2020a or above
Hardware:
Operating Systems:
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
· 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