Efficient allocation of tasks to workers is a central problem in crowdsourcing. In this paper,
we consider a special setting inspired by spatial crowdsourcing platforms where both …

In this article, an online truthful mechanism is designed for mobile crowdsensing systems.
Traditionally, the scenario where participants arrived at the platform in an online manner has …

In bipartite matching problems, vertices on one side of a bipartite graph are paired with
those on the other. In its online variant, one side of the graph is available offline, while the …

Matching markets with historical data are abundant in many applications, eg, matching
candidates to jobs in hiring, workers to tasks in crowdsourcing markets, and jobs to servers …

In a mobile crowdsensing system, the platform utilizes ubiquitous smartphones to perform
sensing tasks. For a successful mobile crowdsensing application, the consideration of the …

Mobile crowd sensing has become an effective approach to meet the demand in large scale
sensing applications. In mobile crowd sensing applications, incentive mechanisms are …

Constructing Radio Environment Map (REM) accurately and cost-efficiently is of great
importance to realize dynamic spectrum access. Two kinds of approaches are widely …

Efficient allocation of tasks to workers is a central problem in crowdsourcing. In this article,
we consider a setting inspired by spatial crowdsourcing platforms, where both workers and …

Mobile Crowdsensing (MCS) has emerged as a new paradigm for data collection and
knowledge representation, where people use their devices to interact with the environment …

The classical Prophet Inequality arises from a fundamental problem in optimal-stopping
theory. In this problem, a gambler sees a finite sequence of independent, non-negative …