Research Article
Optimal Task Partition with Delay Requirement in Mobile Crowdsourcing
Algorithm 1
Optimal task partition for task i.
| Input: | | Total mobile workers’ arrival rate | | Delay requirement Di | | Task load Tai | | Monetary reward Ri to a worker | | Mobile workers’ computing capacity B | | Output: | | The optimal task partition and the maximal value | (1) | Based on equation (1), STai(N) ⟵ Each subtask load | (2) | Based on equation (3), Piw ⟵ The probability that worker accepts the subtask of task i | (3) | With Piw, transition probability matrix is obtained based on Equation (8) | (4) | Based on equation (5), SDi ⟵ Duration for each worker to complete a subtask | (5) | Based on equation (7), m ⟵ The number of slots within | (6) | Within m slots, Pi(N) is obtained based on equation (9) | (7) | Using equation (10), N′ ⟵ the optimal task partition in theory | (8) | Using equation (11), ⟵ the practical optimal task partition | (9) | Based on equation (9) and , ⟵ the maximal value of successful assignment probability | | Return and |
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