| Title | EDTD-SC: An IoT Sensor Deployment Strategy for Smart Cities |
|---|---|
| ID_Doc | 42586 |
| Authors | Alablani, I; Alenazi, M |
| Title | EDTD-SC: An IoT Sensor Deployment Strategy for Smart Cities |
| Year | 2020 |
| Published | Sensors, 20, 24 |
| Abstract | A smart city is a geographical area that uses modern technologies to facilitate the lives of its residents. Wireless sensor networks (WSNs) are important components of smart cities. Deploying IoT sensors in WSNs is a challenging aspect of network design. Sensor deployment is performed to achieve objectives like increasing coverage, strengthening connectivity, improving robustness, or increasing the lifetime of a given WSN. Therefore, a sensor deployment method must be carefully designed to achieve such objective functions without exceeding the available budget. This study introduces a novel deployment algorithm, called the Evaluated Delaunay Triangulation-based Deployment for Smart Cities (EDTD-SC), which targets not only sensor distribution, but also sink placement. Our algorithm utilizes Delaunay triangulation and k-means clustering to find optimal locations to improve coverage while maintaining connectivity and robustness with obstacles existence in sensing area. The EDTD-SC has been applied to real-world areas and cities, such as Midtown Manhattan in New York in the United States of America. The results show that the EDTD-SC outperforms random and regular deployments in terms of area coverage and end-to-end-delay by 29.6% and 29.7%, respectively. Further, it exhibits significant performance in terms of resilience to attacks. |
| https://www.mdpi.com/1424-8220/20/24/7191/pdf?version=1608253233 |
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