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Mobile Crowd Sensing and Computing (MCSC) is a replacement of static sensing infrastructure by user's mobile sensor-enhanced devices. MCSC collects user's local knowledge such as local information, ambient, and traffic conditions using sensor-enabled devices. The collected information is further aggregated and transferred to the cloud for detailed analysis. In this paper, we propose a Smartphone-based...
The emergence of wireless technologies and powerful mobile devices has opened up opportunities for real-time remote health monitoring. Smartphones, equipped with wireless connectivity features and powerful processing capabilities, are usually utilized as a data aggregation, transmission and communication nodes. However, the main challenge of unobtrusive continuous sensing remains fast battery depletion...
In environmental monitoring, such as air quality monitoring, accurate and continuous data collection through a wireless sensor network is of significance. In this paper, we describe a deployed and participatory sensing system which monitors the environmental parameters through deployed sensor nodes or crowd-owned sensors, e.g., smartphones with affordable additional sensors. The noisy sensory information...
In this paper, we study how mobile computing and wireless technologies can be explored to provide effective ubiquitous healthcare services. Instead of reinventing the wheels, we make use of smartphones, off-the-shelf components, and existing technologies in ubiquitous computing (i.e. wireless and mobile positioning technologies, and data acquisition techniques and processing via sensors) to develop...
Disasters aroused due to dynamic movement of large, uncontrollable crowds are ever increasing. The inherent real-time dynamics of crowd need to be tightly monitored and alerted to avoid such disasters. Most of the existing crowd monitoring systems is difficult to deploy, maintain, and dependent on single component failure. This research work proposes novel network architecture based on the key technologies...
In this article, we discuss experiences and lessons learned from deploying four mobile sensing applications on off-the-shelf mobile phones within a recreational framework called MobSens that contains elements of health, social, and environmental sensing at both individual and community levels. We describe the main components of our applications, which facilitate logging and external communications...
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