Mobile crowdsensing (MCS) is a paradigm that exploits the presence of a crowd of moving
human participants to acquire, or generate, data from their environment. As a part of the …

This article introduces a novel middleware that utilizes cost-effective, low-power computing
devices like Raspberry Pi to analyze data from wireless sensor networks (WSNs). It is …

Opportunistic crowdsensing empowers citizens carrying hand-held devices to sense
physical phenomena of common interest at a large and fine-grained scale without requiring …

This paper presents the design, implementation, and operation of a novel distributed fault-
tolerant middleware. It uses interconnected WSNs that implement the Map-Reduce …

Mobile crowdsensing is a powerful mechanism to contribute to the ubiquitous sensing of
data at a relatively low cost. With mobile crowdsensing, people provide valuable …

Our work aims to make opportunistic crowdsensing a reliable means of detecting urban
phenomena, as a component of smart city development. We believe that the optimal method …

The research on Internet of Things (IoT) network and edge computing has been a research
hotspot in both industry and academia in recent years, especially for the ambient …

Abstract Mobile Crowd Sensing/Souring (MCS) is a novel sensing approach that
leveragesthe collective participation of users and their mobile devices to collect sensing …

The Internet of Things (IoT) has emerged as a distributed, self-healing and large-scale
architecture composed of a variety of objects that monitor and affect their environment. This …