EDTD-SC: An IoT Sensor Deployment Strategy for Smart Cities

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ID: 266693
2020
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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.
Reference Key
alablani2020sensorsedtd-sc: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ibtihal Alablani;Mohammed Alenazi;Alablani, Ibtihal;Alenazi, Mohammed;
Journal sensors
Year 2020
DOI
10.3390/s20247191
URL
https://doi.org/10.3390/s20247191
Keywords
coverage iot environmental monitoring smart city k-means wsn end-to-end delay sensor deployment delaunay triangulation network resilience

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