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1718549 Vol 9 · Issue 12 Download Paper

Design and Simulation of an Adaptive Energy Efficient IoT-Based Security Surveillance System for Resource-Constrained Environments

Mokwenye Nwachukwu Godson

Subject area: Science,Engineering and Technology  ·  Area of research: IoT based Security Surveillance

DOI: 10.64388/IREV9I12-1718549

Abstract

This paper presents the design and simulation of an adaptive energy-efficient Internet of Things (IoT)-based security surveillance system developed for resource-constrained environments characterized by unstable power supply and unreliable network connectivity. The proposed system integrates passive infrared (PIR) and ultrasonic sensors with intelligent operational mode switching to optimize energy consumption while maintaining reliable surveillance performance. Hardware simulation was implemented using Proteus 8.17 Professional, while software functionalities including image processing and real-time monitoring were developed using Python, OpenCV, and Node-RED. The developed framework dynamically switches between continuous monitoring and trigger-based monitoring according to environmental activity conditions and time-of-day analysis. Experimental simulation results demonstrated that the adaptive surveillance architecture achieved an average energy savings of 43.90% compared with conventional surveillance systems. Statistical validation using the Wilcoxon signed-rank test confirmed the significance of the observed energy reduction (p < 0.00001). Economic evaluation revealed projected annual cost savings of approximately ₦110,856 with an estimated return on investment period of about 5.5 months. Environmental assessment further showed an annual CO₂ emission reduction of 428.31 kg. The results demonstrate that the proposed adaptive IoT surveillance system successfully balances energy efficiency, security effectiveness, affordability, and operational reliability. The developed architecture provides a scalable and sustainable surveillance solution suitable for deployment in developing regions and other energy-constrained environments.

Keywords

IoT Surveillance, Adaptive Monitoring, Energy Efficiency, Smart Security Systems, Node-RED

References

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How to cite this paper

Mokwenye Nwachukwu Godson "Design and Simulation of an Adaptive Energy Efficient IoT-Based Security Surveillance System for Resource-Constrained Environments" Iconic Research And Engineering Journals Volume 9 Issue 12 2026 Page 183-194 https://doi.org/10.64388/IREV9I12-1718549
Mokwenye Nwachukwu Godson "Design and Simulation of an Adaptive Energy Efficient IoT-Based Security Surveillance System for Resource-Constrained Environments" Iconic Research And Engineering Journals, vol. 9, no. 12, Jun. 2026, doi: https://doi.org/10.64388/IREV9I12-1718549
Mokwenye Nwachukwu Godson (2026). Design and Simulation of an Adaptive Energy Efficient IoT-Based Security Surveillance System for Resource-Constrained Environments. Iconic Research And Engineering Journals, 9(12). doi: https://doi.org/10.64388/IREV9I12-1718549
Mokwenye Nwachukwu Godson "Design and Simulation of an Adaptive Energy Efficient IoT-Based Security Surveillance System for Resource-Constrained Environments" Iconic Research And Engineering Journals, vol. 9, no. 12, Jun. 2026. Crossref, https://doi.org/10.64388/IREV9I12-1718549
@article{1718549,
      author = {Mokwenye Nwachukwu Godson},
      title = {Design and Simulation of an Adaptive Energy Efficient IoT-Based Security Surveillance System for Resource-Constrained Environments},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {12},
      pages = {183-194},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718549.pdf},
      abstract = {This paper presents the design and simulation of an adaptive energy-efficient Internet of Things (IoT)-based security surveillance system developed for resource-constrained environments characterized by unstable power supply and unreliable network connectivity. The proposed system integrates passive infrared (PIR) and ultrasonic sensors with intelligent operational mode switching to optimize energy consumption while maintaining reliable surveillance performance. Hardware simulation was implemented using Proteus 8.17 Professional, while software functionalities including image processing and real-time monitoring were developed using Python, OpenCV, and Node-RED. The developed framework dynamically switches between continuous monitoring and trigger-based monitoring according to environmental activity conditions and time-of-day analysis. Experimental simulation results demonstrated that the adaptive surveillance architecture achieved an average energy savings of 43.90% compared with conventional surveillance systems. Statistical validation using the Wilcoxon signed-rank test confirmed the significance of the observed energy reduction (p < 0.00001). Economic evaluation revealed projected annual cost savings of approximately ₦110,856 with an estimated return on investment period of about 5.5 months. Environmental assessment further showed an annual CO₂ emission reduction of 428.31 kg. The results demonstrate that the proposed adaptive IoT surveillance system successfully balances energy efficiency, security effectiveness, affordability, and operational reliability. The developed architecture provides a scalable and sustainable surveillance solution suitable for deployment in developing regions and other energy-constrained environments.},
      keywords = {IoT Surveillance, Adaptive Monitoring, Energy Efficiency, Smart Security Systems, Node-RED},
      month = {June},
      doi = {https://doi.org/10.64388/IREV9I12-1718549}
  }