Such wireless connectivity for mobile sensing devices requires a robust two-tier architecture, which is presented in this chapter.
Mobile sensing can be divided into two sensing paradigms (Lane et al. 2008).
Mobile crowdsensing has facilitated ubiquitous mobile sensing applications between humans and the surrounding physical world as a convenient and economical sensing technology.
It provides many amazing applications on mobiles, such as high-resolution mobile videos [1], age estimation [2], human-mobile interaction [3], and mobile sensing for object recognition [4].
Their lower power consumption and small size enable mobile sensing, deploying single or multiple units simultaneously.
Microfluidic platforms used for biology studies are in need of embedded mobile sensing tools.
Such control laws have applications in planetary-scale mobile sensing networks in air, sea, and space.
In section 2, ICN and some mobile network caching architectures are introduced, and the comparison of caching placement methods in different mobile wireless network architectures is given.
Mobile crowd sensing subnet number: 2−5.
Mobile robot control architectures have matured in two major directions: hierarchical and behaviour-based.
