Enhanced Lifetime with Less Energy Consumption in WSN Using a Genetic Algorithm-Based Approach

EasyChair Preprint 10039

Abstract

Enhanced lifetime means to increase or improve the value, quantity, desirability, or attractiveness. Energy efficiency simply refers to using less energy to complete the same task, thereby reducing energy waste. Energy efficiency protocols are used in wireless sensor networks to improve system energy conservation and lifespan. In a WSN, instead of using physical media for communication, transmission is accomplished through the deployment of nodes. The deployed nodes send data to the destination node or to the sink node. The process of gathering the nodes for improved communication is referred to as clustering. During clustering, neighboring nodes that are part of a compatible cluster send data to the cluster head, aggregating it and sending it to the sink. For the enhancement of WSN, many clustering algorithms have been created. In the case of the traditional approach, the node prefers a straight-line path hence it consumes more energy a reduction the lifetime. Hence, another genetic algorithm-based approach is VGDRA. Since the proposed method is dynamic rather than static, it has a higher energy efficiency than LEACH, because it takes the shortest path. Balanced load and optimization increase the likelihood of better results in lower loops, which other techniques cannot achieve. The proposed method's simulation results are generated using MATLAB R2022 b.

Keyphrases: Clustering, WSN, energy efficiency, genetics

@booklet{EasyChair:10039,
  author    = {B Kommuraiah and Bollena Navya and Bns Adarsh and B Mamatha and B Jhanvitha},
  title     = {Enhanced Lifetime with Less Energy Consumption in WSN Using a Genetic Algorithm-Based Approach},
  howpublished = {EasyChair Preprint 10039},
  year      = {EasyChair, 2023}}