Dissertation
Large-scale Internet of Things and Wireless Rechargeable Sensor Networks for Deployment in Smart Cities
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast, Queensland
2024
DOI:
https://doi.org/10.25907/00821
Abstract
The advent of the Internet of Things (IoT) has propelled urban landscapes towards the vision of smart cities. These urban ecosystems rely heavily on the seamless integration of countless sensors and devices, collectively forming a network capable of monitoring, analyzing, and optimizing city functions. The integration of the IoT in urban infrastructure has played a pivotal role in enhancing resource management, improving citizen services, and promoting sustainability. However, as IoT deployments scale up to meet the demands of densely populated cities, various challenges related to energy efficiency, connectivity, data management, and sustainability have become increasingly apparent. Yet, the energy constraints inherent in battery-powered sensors pose significant challenges to the realization of sustainable and scalable smart city deployments.
This thesis explores the critical nexus between Large-Scale IoT (LS-IoT) and Wireless Rechargeable Sensor Networks (WRSNs) to address the burgeoning demands of smart cities. With a keen focus on energy efficiency, scalability, and real-world deployment, this research seeks to bridge the gap between theoretical potential and practical implementation.
Details
- Title
- Large-scale Internet of Things and Wireless Rechargeable Sensor Networks for Deployment in Smart Cities
- Authors
- Gerald Ijemaru - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
- Contributors
- Li-Minn Ang (Supervisor) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
- Awarding institution
- University of the Sunshine Coast, Queensland
- Degree awarded
- Doctor of Philosophy
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00821
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991001298902621
- Output Type
- Dissertation
Metrics
30 File views/ downloads
128 Record Views