Performance Analysis of Compressive Sensing for Wireless Sensor Networks скачать в хорошем качестве

Performance Analysis of Compressive Sensing for Wireless Sensor Networks

TITLE:- ENERGY AWARE TALENTED CLUSTERING WITH COMPRESSIVE SENSING (TCCS) FOR WIRELESS SENSOR NETWORKS ************************************************************* Implementation plan: ********************* Scenario 1: (using TCCS-Distributed) *********************************** Step 1: Initially, we constructed a Wireless Sensor Network (WSN) with 100 sensor nodes, 2 base stations and 1 server. Step 2: Then, we simulate and collect environmental data like temperature, humidity, and pressure from all sensor nodes using Edge IOT Dataset. Step 3: Next, we implement the TCCS Distributed mechanism to select optimal cluster heads based on residual energy and node distance based on collected data. Step 4: Then, we apply Compressive Sensing techniques at the cluster head to reduce redundant data and minimize transmission load based on collected data. Step 5: Next, we transmit the compressed data to the base stations through multi-hop communication to improve energy efficiency based on collected data. Step 6: Finally, we evaluate performance based on: 6.1: Number of sensor nodes vs. End to End Delay (ms) 6.2: Number of sensor nodes vs. Energy Consumption (J) 6.3: Number of sensor nodes vs. Packet Delivery Ratio (%) 6.4: Number of sensor nodes vs. Packet loss Ratio (%) 6.5: Number of sensor nodes vs. Throughput (kbps) Software Requirement: ********************* 1. Development Tool: NS 3.30 or above 2. Operating System: Ubuntu 18.04 LTS (64-bit) or above Dataset: ********* Link: https://www.kaggle.com/datasets/moham... Note: ***** 1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming. 2) If there's no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process. 3) If the plan satisfies your requirement, Please confirm with us. 4) Project based on Simulation only. -------------------------------- #TCCS #WirelessSensorNetworks #WSN #CompressiveSensing #EnergyEfficientWSN #TalentedClustering #ClusterBasedWSN #DataCompression #SignalProcessing #IoTNetworks #EnergyAwareNetworking #NetworkOptimization #PerformanceAnalysis #SmartSensors #MachineLearningWSN #ThesisWritingServices #DissertationWritingServices #ProjectHelp #AcademicSupport #ResearchProjects #MTechProjects #PhDResearchHelp #EngineeringProjects ------------------------------------------- All types of network simulation tools support for your network research ideas such as NS3, OMNET++, MATLAB, MININET, NS2, OPNET, PYTHON, COOJA, CONTIKI OS, QUALNET, OPNET, NETSIM, GNS3, RTOOL, OPTISYSTEM, ONESIM …. will be supported under one roof. We would be delighted to extend our support in utilizing network simulation tools to effectively resolve any network research challenges that you may encounter. For further support visit us at : https://networksimulationtools.com Mail us at : networksimulationtool@gmail.com call us at : 94448 47435