Wireless Sensor Network Project Topics

WSN Research Topics is the topic we proposed in this research. WSN is the network that is now being widely utilized in many of the fields. It is a small sensor device which is used to monitor and control the object. It will address some of the issues in the previous technologies. Then in this we offer the concepts and details that are related to this proposed technique; the wireless sensor network.

  1. Define WSN

In this research we first begin with the definition of WSN. WSN is the expansion of Wireless Sensor Network. It is extensively utilized in agriculture to monitor environmental situations and control irrigation. It is a system which is planned to automatically control and monitor a particular incident or event.

  1. What is WSN?

After the definition we see the detailed description for this proposed research. A wireless sensor network will be defined as a network of small enclosed devices, called sensors that interact wirelessly following an ad hoc configuration.

  1. Where WSN used?

There after the detailed description we understand where to employ this WSN technology. A WSN is built of “nodes” – from a few to hundreds or thousands, where every node is linked to other sensors. These networks are used in consumer and industrial applications like machine health monitoring and agriculture and industrial process monitoring and control.

  1. Why WSN technology proposed? , previous technology issues

Here we proposed the Wireless sensor network technology for this research to get the best result for this research. WSN has been done in different existing works in an ineffectual manner that affects the network failure, energy constraints, inaccurate data transmission, low detection accuracy, battery drain and ineffective scheduling. To be more particular, some of the existing technology problems are as listed: Node Failure Mitigation in Clustering, Challenges in Inefficient Scheduling, Impacts in Detection of Malicious Node, Data Delivery Constraints in Routing and Authentication Efficiency Constraints.

  1. Algorithms / protocols

Our proposed WSN technology utilizes the following methods to overcome the issues in the existing technologies. The methods that we utilized are: A-Star Search Algorithm yielded the A-SSA-EPO, Firefly optimization with Feed-Forward Multi-Clustering Protocol (FO-FFMCP), CMOMDP and EA-TDMA and Artificial Bee Colony and Weight Estimation Technique with the Multilayer Perceptron Artificial Neural Network (MP-ANN-WET-ABC).

  1. Comparative study / Analysis

We proposed a wireless sensor network technology which compares some methods with the existing technologies to overcome the existing technologies. The methods that we compared are listed:

  • For generating clusters we utilize the technique FO-FFMCP technique.
  • MP-ANN-WET-ABC is employed to enhance the accurate identification of the malicious nodes. This method will build on the establishments defined by clusters in WSN.
  • Our hybrid method, CMOMDP and EA-TDMA technique, prioritize the fast finding of near-optimal strategies that effectively handle the energy saving and gearbox techniques.
  • The A-SSA-EPO technique is used to enhance the routing and packet delivery in WSNs without giving up the network achievement or dependability.
  1. Simulation results / Parameters

This proposed method is compared with some of the performance metrics or parameters in the existing technology. The metrics that we compared are Detection Accuracy, Authentication Time, Throughput, Energy Consumption, Delay and Packet Delivery Ratio with the No. of users and the Network Lifetime and Number of Alive Nodes.

  1. Dataset LINKS / Important URL

For this proposed method wireless sensor network we utilize the following important links to go through the concepts or any doubts relevant to this proposed WSN technology this will clear that.

  1. WSN Applications

Now we see the application to be employed for this proposed WSN technology. The applications are threat detection, Environmental temperature, air pressure and humidity, surveillance and monitoring for security, medical applications namely patient monitoring, Noise level of the surrounding.

  1. Topology for WSN

In WSN the topology plays a crucial role in decreasing different constraints like quality of communication, limited energy, computational resource crisis and latency. For example, energy consumption is proportional to the number of packets transmitted or gained.

  1. Environment for WSN

Let’s see the environment to be used for this proposed technique, WSN permits for attractive and creative solutions, as well as for persistent environment monitoring by offering many crucial advantages like coverage of wide areas, system scalability, real time access to data and long-term monitoring.

  1. Simulation tools

The Wireless Sensor Network is now used in various domains and we overview the software requirements for this research. The development tool here utilized for this research is NS 3.26 with python. Moreover the research is operated by using the operating system Ubuntu 16.04 LTS.

  1. Results

Wireless Sensor Network is proposed in this research and overcomes numerous existing technology issues. The proposed method is here compared with different performance metrics to attain the best results. The developmental tool to be utilized for this research is NS 3.26 with python.

Wireless Sensor Network Project Ideas :

The succeeding are the topics that are related to this proposed Wireless sensor network topics. These topics will provide the concept, uses, applications and some other relevant details related to this technology.

  1. An Integrated Rule-Based and Machine Learning Technique for Efficient DoS Attack Detection in WSN
  2. WSN, IOT & RFID Integrated Solutions for Smart Cities & Industries: Introduction, Applications, Framework and Challenges
  3. Multirate Signal Processing in WSN for Channel Capacity and Energy Efficiency Using Machine Learning
  4. Energy-Efficient Secure QoS Routing Algorithm Based on Elite Niche Clone Evolutionary Computing for WSN
  5. ESWCM: A Novel Energy-sustainable Approach for SWIPT-enabled WSN with Constraint MEAP Configurations
  6. Performance Comparison of Routing Techniques using Sink Mobility Models for IoT assisted WSN
  7. Cluster Head Selection for Single and Multiple data Sinks in Heterogeneous WSN using Wild Horse Optimization
  8. Dynamic and Energy Efficient Data Traffic Scheduling for Earlier Forest Fire Detection using WSN
  9. Simple Digital Design to Optimize TDOA Algorithm Reducing Energy Consumption: WSN for Forest Fire Localization
  10. Intrusion Detection in WSN with Optimal Trained Hybrid Model: Introduction to Self-Improved Beluga Whale Optimization
  11. Data Security Assurance with data Aggregation and Fragmentation in WSN via Improved Cryptographic Model: A Deep Learning Assisted Cluster based Routing
  12. Application Scheduling With Multiplexed Sensing of Monitoring Points in Multi-Purpose IoT Wireless Sensor Networks
  13. WSN-Assisted Consumer Purchasing Power Prediction via Barracuda Swarm Optimization-Driven Deep Learning for E-Commerce Systems
  14. Wireless Sensor Network (WSN) Model Targeting Energy Efficient Wireless Sensor Networks Node Coverage
  15. A Cross-Layer Performance Evaluation System for Spectrum Sensing and Allocation Strategies in CR-WSN
  16. Analysis of Impact of The Charging on Propogation Dynamics of Malware in Rechargeable Wireless Sensor Networks
  17. A Range-Free Node Localization Method Based on MinMax Error Criterion for Sparse Anchors Wireless Sensor Networks
  18. Software Complex for Modelling Routing in Heterogeneous Model of Wireless Sensor Network
  19. Low-Power Wireless Sensor Network for Real-Time Indoor Air Quality Monitoring with CO2 Sensors
  20. Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks
  21. A Chaotic Reptile Search Algorithm for Energy Consumption Optimization in Wireless Sensor Networks
  22. Vibrational Genetic Algorithm-Based Deployment of Wireless Sensor Networks With Heterogeneous Nodes in Irregularly Shaped Areas
  23. A Novel Lie Hypergraph Based Lifetime Enhancement Routing Protocol for Environmental Monitoring in Wireless Sensor Networks
  24. Intrusion Detection System for Wireless Sensor Networks: A Machine Learning Based Approach
  25. MeFi: Mean Field Reinforcement Learning for Cooperative Routing in Wireless Sensor Network
  26. Innovative Energy-Efficient Proxy Re-Encryption for Secure Data Exchange in Wireless Sensor Networks
  27. Penalized Maximum-Likelihood-Based Localization for Unknown Number of Targets Using WSNs: Terrestrial and Underwater Environments
  28. Investigation of Energy Consumption in WSNs Within Enclosed Spaces Using Beamforming and LMS (BF-LMS)
  29. Resource and Power Allocation for Sum-Throughput Maximization in RIS-Assisted TDMA Wireless Sensor Networks
  30. A Situation Based Predictive Approach for Cybersecurity Intrusion Detection and Prevention Using Machine Learning and Deep Learning Algorithms in Wireless Sensor Networks of Industry 4.0
  31. UAV Path Planning for Data Gathering in Wireless Sensor Networks: Spatial and Temporal Substate-Based Q-Learning
  32. Integrated Sensing, Communication, and Computation Over the Air: Beampattern Design for Wireless Sensor Networks
  33. Ensemble Regression Machine Learning Based Detection of Intrusion Packets in Healthcare Wireless Sensor Networks
  34. Energy-Efficient Approach for Node Selection in Routing Protocols of Wireless Sensor Networks
  35. Socially Aware Network Clustering for Throughput Maximization in Mobile Wireless Sensor Networks
  36. Securing Wireless Sensor Networks: A Novel AlexNet + GRU-Based Intrusion Detection Framework
  37. Integrated clustering and routing design and triangle path optimization for UAV-assisted wireless sensor networks
  38. Intrusion Detection System in Wireless Sensor Networks using Modified Recurrent Neural Network with Long Short-Term Memory
  39. A New Statistical Compression-Based Method for Wireless Sensor Networks Energy Efficient Data Transmission
  40. Optimizing Post Deployment Maintainance at Nodal Level for Macroscale Wireless Sensor Network
  41. Exploring Autoregressive Moving Average Models in Wireless Sensor Network Time Series Analysis
  42. On the Reconstruction of a Quality Virtual Backbone in a Wireless Sensor Network With Faulty Links
  43. Dominating Sets-Based Approach for Maximizing Lifetime of IoT-Based Heterogeneous WSNs Enabled Sustainable Smart City Applications
  44. Stochastic Gradient Descent Intrusions Detection for Wireless Sensor Network Attack Detection System Using Machine Learning
  45. Energy Optimization and Trajectory Planning for Constrained Multi-UAV Data Collection in WSNs
  46. On Practical Reconstruction of Quality Virtual Backbones in Heterogeneous Wireless Sensor Networks With Faulty Nodes
  47. NTN-Aided Quality and Energy-Aware Data Collection in Time-Critical Robotic Wireless Sensor Networks
  48. Range-Free Localization Scheme Based on a Reconstructed Marine Predators Algorithm With Adaptive Enhancement for Wireless Sensor Networks
  49. Energy Efficient Clustering and Sink Mobility in Heterogeneous Wireless Sensor Network using Balanced Spider Monkey Optimization
  50. An Effective Dynamic Cross Propagation Clustering in Wireless Sensor Network using Improved RFCM