The phrase "application of mobile sensing" is correct and usable in written English.
It can be used in contexts discussing the use or implementation of mobile sensing technologies in various fields such as healthcare, environmental monitoring, or smart cities.
Example: "The application of mobile sensing in urban planning has revolutionized how cities collect and analyze data."
Alternatives: "use of mobile sensing" or "implementation of mobile sensing".
The Center's work covers location-aware learning applications, mobile sensing and data collection, augmented reality gaming, and other educational uses of mobile technologies.
The rapidly enhancing sensing capabilities of smartphones are enabling the development of a wide range of innovative mobile sensing applications that are impacting on everyday life of mobile users.
Such control laws have applications in planetary-scale mobile sensing networks in air, sea, and space.
The ubiquitous deployment of personal mobile devices today has boosted numerous mobile sensing applications where sensing data should be timely collected and exchanged among participating sensors.
Based on measurement results, analyses of the connectivity capabilities of the IEEE 802.15.4/ZigBee technologies for mobile sensing applications in industrial environment, and their use in collision avoidance applications are reported in[16].
Lane et al. (2010) presents four main reasons for the rapid increase in mobile sensing applications: 1) availability of cheap embedded sensors, 2) applications can be programmed to use these sensors, 3) app stores can be used to deliver new applications to large populations easily, and 4) back-end servers providing resources for computing.
His field of expertise is mobile sensing and optimization.
Designing distributed neighbor discovery protocols in mobile sensing applications is particularly challenging because of the duty cycling operation mode where mobile devices, usually battery-powered, switch between active and dormant modes periodically to conserve energy.
Mobile crowdsensing has facilitated ubiquitous mobile sensing applications between humans and the surrounding physical world as a convenient and economical sensing technology.
He has 21 granted/pending US and international patents/applications. His research interests include mobile sensing platforms, systems and applications, Internet-of-Things, indoor location sensing, wireless, and sensor networks.
