Urban emergency detection system using hierarchical, collaborative and configurable wireless sensor networks

The rapid urbanization of cities has given rise to numerous challenges related to essential services and emergency management. To address these complexities, smart city solutions have emerged, employing advanced technologies to automate and enhance service quality. In this context, wireless sensor networks and the Internet of Things offer promising solutions for monitoring and detecting emergencies in urban environments. However, urban emergency detection is a complex task that requires intelligent data processing and analysis. Many existing approaches utilize artificial intelligence techniques to improve accuracy. Moreover, the time-critical nature of emergency detection necessitates swift and reliable diagnosis to avoid potential economic losses and human risks. To achieve precise and timely detection, a system capable of collecting georeferenced data, analyzing it, and providing reliable diagnoses is essential. In this paper, we propose a novel urban multiple emergency detection system based on hierarchical, collaborative and configurable wireless sensor networks. The hierarchical and collaborative nature of the proposed networks ensures efficient data exchange between sensing units of different categories. Our contributions lie in the implementation of flexible and configurable functionalities, enabling accurate and energy-efficient urban emergency detection adaptable to the unique characteristics of each city or region where it is deployed.

Automated summary

The rapid urbanization of cities has brought about numerous challenges in terms of essential services and emergency management. In response to these complexities, smart city solutions have emerged, utilizing advanced technologies to automate and improve service quality. This paper proposes a novel urban multiple emergency detection system based on wireless sensor networks and the Internet of Things, featuring hierarchical and collaborative characteristics to achieve accurate and energy-efficient urban emergency detection.