Pricing and task allocation are vital to improving the efficiency in mobile crowdsensing, an
emerging human-in-the-loop application paradigm. Previous studies focused on incentive …

In this paper, we consider joint pricing and task allocation in a unified mobile crowdsensing
system, where all task initiators and mobile users are viewed as peers. From an exchange …

Although mobile crowdsensing (MCS) has become a green paradigm of collecting,
analyzing, and exploiting massive amounts of sensory data, existing incentive mechanisms …

Mobile crowdsensing systems aim to provide various novel applications by employing
pervasive smartphones. A key factor to enable such systems is substantial participation of …

Incentive mechanisms have been commonly proposed to encourage people to participate in
mobile crowdsensing (MCS). However, most of them set unchangeable rewards for sensing …

Crowdsensing offers an efficient approach to meet the demand in large scale sensing
applications. In crowdsensing, it is of great interest to find the optimal task allocation, which …

In crowdsensing to mobile phones, each user needs incentives to participate. Mobile
devices with sensing capabilities have enabled a new paradigm of mobile crowdsensing …

Mobile Crowdsensing has shown a great potential to address large-scale problems by
allocating sensing tasks to pervasive Mobile Users (MUs). The MUs will participate in a …

Mobile Crowd Sensing (MCS) enables the platform to offer data-based service by
incentivizing mobile users to perform sensing task and collecting sensing data from them …

Mobile crowdsensing can enable numerous attractive novel sensing applications due to the
prominent advantages such as wide spatiotemporal coverage, low cost, good scalability …