Implementation of Evolutionary Algorithms for Improving Energy Consumption in Wireless Sensor Networks

Project Code :TMMACO79


The main objective of the project is to calculate the energy consumption using ABC, ACO and PSO optimization techniques.


´Wireless Sensor Networks (WSNs) consists of a huge number of tiny, low-priced, and battery-powered devices with limited on board sensing, processing and communication capabilities. The batteries of sensor nodes of WSNs are usually with limited capacity; hence it is essential to conserve battery energy to prolonging the WSNs lifetime. Therefore, this paper deals with the matter of energy consumption minimization to maximize the overall network lifespan. In this research, a mathematical model for the lifetime of WSN is formulated based on several parameters to find out the optimal solution of the energy problem in the field of wireless sensor networks using the Particle Swarm Optimization (PSO),Ant Colony Optimization (ACO) and Artificial bee colony(ABC) algorithms. In this regards, ABC algorithm acts with much better efficiency as computational time minimizes, simple, has stable convergence characteristics than ACO and PSO algorithms.
´Index Terms: Wireless Sensor Network, Routing Algorithm, Ant Colony Optimization, Particle Swarm Optimization (PSO)

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

Block Diagram


Software & Hardware Requirements:

Software: Matlab 2018a 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 Math Works products may take up to 29 GB of disk space


Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes


  • Introduction to Matlab
  • 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
  • Basics of wireless sensor networks
  • About Leach protocols.
  • How system modal can be formed in Matlab.
  • Construction of algorithm according to system modal
  • Analyzing and visualization of plots.
  • About WSN lifetimes.
  • About cluster heads and aggregators.
  • About data transmission in-between nodes.
  • Phases of data transmission:
    • Generation of input data
    • Construction of WSN nodes
  • How to extend our work to another real time applications
  • Project development Skills
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills 

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