Formulated the mobile crowdsourcing task allocation problem with worker reputation and budget constraints as an MCKP.
Proposed a heuristic algorithm for solving the spatial crowdsourcing task allocation problem in time.
The algorithm supports spatial crowdsourcing systems which associate rewards for workers with their track records.
The algorithm eliminates the need for task requesters to pre-specify the number of workers required for a task.