| 研究実績の概要 |
In the past year, we studied [1] the exclusive zone refinement problem by using random sensing result, and [2] crowdsourcing incentive mechanism by using monetary reward.
Specifically, we studied the tradeoff between spectrum database accuracy and sensing cost. We proposed a decision tree based approach to select the sensing point. For the second problem, we propose a novel fine-grained incentive mechanism for sensing augmented spectrum database. Simulation results demonstrate that the
proposed mechanism could save noticeable expenditure compared to two baseline schemes.
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| 今後の研究の推進方策 |
In the following year, we will continue the research with emphasis on more complex research problems, i.e., [P1-2] Refining the zone by using sensing results from specific area and [P2-2] Resource reward based incentive mechanism. Also, we will try to implement our proposal on real testbed.
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