| Project/Area Number |
16K16051
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Information network
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| Research Institution | Kogakuin University |
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Principal Investigator |
Gu Bo 工学院大学, 情報学部(情報工学部), 准教授 (10637028)
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| Research Collaborator |
ZHOU Zhenyu
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | offloading / peak time / pricing / Intelligent / Heterogenous / Offloading / IoT / Edge computing / Matching learning / Pricing / femtocell / traffic / incentive / scheduling / bandwidth / demand |
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| Outline of Final Research Achievements |
This research focuses on the design and implementation of an intelligent bandwidth consumption scheduler considering WiFi/femtocell connectivity and users’ preference with dynamic pricing, aiming at mitigating the peak-time congestion. Following the task profile consists of actuation time, operation length, maximum budget for cellular usage, delay tolerance etc., the scheduler makes decisions on either shifting the delay-tolerant traffic to off-peak time or offloading the traffic to WiFi/femtocell networks dynamically, which on the other hand empowers users with the choice of saving on their monthly bills. We built up a proof-of-concept android system and conducted experiment to verify the efficiency of our proposed scheduler. Results show that the peak-time congestion could be efficiently alleviated.
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