Fuzzy logic based unequal clustering for wireless sensor network Simulation

Title:- Fuzzy‐based unequal clustering algorithm to prolong the lifetime of wireless sensor networks
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Implementation Plan:
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Step 1: Construct the network with 100- Sensor nodes and BS/sink.

Step 2: Initially, generate the random number for all sensor nodes and compare the random number with threshold values and calculate the competitive radius and rank and select the CH [Cluster Head] based on fuzzy rules.

Step 3: Next, all sensor nodes send the cluster join message to the CH and get the confirmed message from CH nodes and form the cluster by using fuzzy‐based unequal clustering algorithm (FUCA).

Step 4: Next, Perform the data transmission between the sensor nodes.

[The process based on your requirement]

Step 5: The proposed work is evaluated in terms of metrics such as, Throughput,Packet loss rate, Energy consumption and End-to-end latency.
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Software Requirement:
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1. Tool: MATLAB-R2020a
2. OS: Windows 10 – (64-bit)
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Note:-
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1) if the above steps do not satisfy your requirement. then send your requirements like the above steps.

2) We make a simulation based process only, not create a real time environment.
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#WirelessSensorNetworks
#ResearchIdeas
#fuzzylogic
#MATLABprojects
#engineering
#artificialintelligence
#machinelearning
#dataanalysis
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