Performance issues in wireless body area networks
Title:- A framework for generating realistic data flows of WBAN
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Implementation Plan:
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Step 1: Initially, We create a Network, it consists of 100- Sensor nodes, 1- Sink Nodes.
Step 2: Next, we perform the creation of data/packet generators to simulate the real-world health dataset.
Step 3: Next, we generate the datas for finding the min and max values. In this process we used the k-nearest neighbor (KNN) algorithm.
Step 4: Next, we perform the Anomaly Detection process, In this process the anomalies can be detected from unlabelled data in the dataset. In this process we used the XGBOOST algorithm.
Step 5: Next, we perform the packet transmission between the sensor nodes.
[The process based your paper: A framework for generating realistic data flows of WBAN]
Step 6: Finally,we plot the results graph for
6.1: Number of Sensor nodes vs Malicious Traffic
6.2: Number of Sensor nodes Vs Power consumption
6.3: Number of Sensor nodes Vs Packet delivery ratio
6.4: Packet send ratio
6.5: Received Signal Strength (RSS)
6.6: Signal-to-Noise Ratio (SNR)
6.7: Throughput
6.8: Message length
6.9: Receive and send packet
6.10: Bit error rate
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Software Requirement:
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1) ns-3.26
2) ubuntu 16.04 [64-bit]
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Note:-
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1) Please provide the required dataset to implement this process.
2) If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.
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#wirelessnetworks
#bodyareanetworks
#performanceissues
#wirelessperformance
#networktroubleshooting
#wirelessproblems
#networkoptimization
#wirelessconnectivity
#bodyareatechnology
#wirelesshealthcare
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