Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection

In recent years, the drive-by sensing paradigm has become increasingly popular for cost-effective monitoring of urban areas. Drive-by sensing is a form of crowdsensing wherein sensor-equipped vehicles (aka, mobile agents) are the primary data gathering agents. Enhancing the efficacy of drive-by sens...

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Veröffentlicht in:	arXiv.org 2020-02
Hauptverfasser:	Navid Hashemi Tonekaboni, Ramaswamy, Lakshmish, Mishra, Deepak, Omidvar, Sorush
Format:	Artikel
Sprache:	eng
Schlagworte:	Agents (artificial intelligence) Algorithms Buses (vehicles) Datasets Detection Genetic algorithms Optimization Public transportation Redundancy Urban heat islands
Online-Zugang:	Volltext
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