Smart City Gnosys
Smart city article details
| Title | Iot-Based Crowdsensing For Smart Environments |
|---|---|
| ID_Doc | 33961 |
| Authors | Middya A.I.; Dey P.; Roy S. |
| Year | 2023 |
| Published | EAI/Springer Innovations in Communication and Computing |
| DOI | http://dx.doi.org/10.1007/978-3-031-09729-4_3 |
| Abstract | The term smart city was first coined in the early 1990s. Along with the infrastructure and structural facility, it specifically utilizes a plethora of information technology (IT) innovations and technologies, which are now getting more and more embedded in our daily lives at a breath-taking speed to make cities smarter for the citizens. Smart cities utilize technology-based services and collective knowledge to improve citizens’ efficiency and quality of life (QoL). In this context, the aim of this chapter is to introduce the basic paradigm, tools, and technologies required for monitoring different dynamics of a city (e.g., pollution, traffic condition, road condition, and citizens’ health) using Internet of things (IoT)-based crowd/participatory sensing. There are a variety of smart city applications, some of which are briefly discussed in this chapter. Acquiring data from various dynamics via crowdsensing or participatory sensing is a critical criterion for creating smart environments. Feedback generation over transient data can generate a more efficient system for the smart solution of different technologies. In this chapter, an IoT–cloud-based end-to-end architecture is presented for this purpose. In addition, some open research issues and constraints are also presented to direct future researchers. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords | Cloud; Crowdsensing; IoT; Participatory sensing; Sensors; Smart city; Smart environments |
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