On the Analysis of Swarm Robotics in Sensor-Based Environmental Monitoring for Sustainable Poultry Farming

Karen Jane Dsouza*, Senthil Arumugam Muthukumaraswamy, Girish Balasubramanian

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a novel swarm-based algorithm for the intelligent manoeuvring of robots within poultry farms, aiming to enhance livestock well-being monitoring for smart livestock-rearing practices. The existing practices in environmental monitoring include the use of ceiling-mounted sensors. This has shown an inaccuracy in data due to the difference in biomarker data at ceiling and ground levels. The proposed algorithm utilizes the principles of the Firefly algorithm to produce a viable navigation system for the robot swarm. The fitness function of the algorithm is determined using sensor values received from MQ-135, MQ-137, and DHT-11 sensors for carbon dioxide, ammonia, temperature, and humidity. Further scope for this system is also discussed within the conclusion of this paper. Experimental analysis was conducted to deduce the optimal parameters for defining the fitness function for the swarm algorithm. The proposed system successfully maps and monitors the environment within a simulated setting, demonstrating its effectiveness in addressing the challenges of traditional environmental monitoring techniques.
Original languageEnglish
Title of host publicationIntelligent Strategies for ICT
Subtitle of host publicationProceedings of ICTCS 2024
EditorsM. Shamim Kaiser, Juanying Xie, Vijay Singh Rathore
PublisherSpringer Singapore
Pages73-84
Number of pages12
Volume5
ISBN (Electronic)9789819641482
ISBN (Print)9789819641475
DOIs
Publication statusPublished - 29 Jul 2025
Event9th International Conference on Information and Communication Technology for Competitive Strategies 2024 - Jaipur, India
Duration: 19 Dec 202421 Dec 2024

Publication series

NameLecture Notes in Networks and Systems
PublisherSpringer Singapore
Volume1320
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference9th International Conference on Information and Communication Technology for Competitive Strategies 2024
Abbreviated titleICTCS 2024
Country/TerritoryIndia
CityJaipur
Period19/12/2421/12/24

Keywords

  • Arduino UNO
  • Firefly algorithm
  • Fitness function
  • Gazebo simulator
  • Poultry health surveillance
  • Swarm robotics

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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