Improved Localization by Route Positioning based Node Location Detection on the Wireless Sensor Network

Project Code :TMMACO121


Develop an advanced network route planning algorithm for Wireless Sensor Networks (WSN) using real-time dynamic data.


Wireless Sensor Networks (WSN) use high-powered hop communication in place of a single multi-hop link. The majority of mobile devices' data communication performance has been examined to determine multi-hop wireless power wireless data transfer. Data packets facilitate network activity by creating a connection between the source and the destination. A unique approach to monitor each node's sending point and implement a location identification mechanism at the node's receiving point has been developed, taking into account the energy constraints in wireless sensor nodes. The suggested study has created a Node Travel Location Identification method (RP-NTLI) based on Route Positioning to accomplish network localization based on the ID. This is totally dependent on the network path; if the unknown node is constrained, it becomes usable for estimating the number of remaining nodes and for route positioning. The network node searches the data and broadcasts the path based on the node position, using the unique ID provided for each node. The goal of the planned research project is to create a novel and enhanced network route planning algorithm for wireless sensor networks. Efficient performance metrics values are acquired by implementing the proposed dynamic wireless network setup using real-time data.

Keywords: Wireless Sensor Networks (WSN), Location, Route, Position, Defense Node connection, Node identification.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram


Software: Matlab 2020a or above


Operating Systems:

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016


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


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


Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

·         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

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