AAIoT: Accelerating Artificial Intelligence in IoT Systems
抄録
Existing deep learning systems in the Internet of Things (IoT) environments lack the ability of assigning compute tasks reasonably which leads to resources wasting. In this letter, we propose an AAIoT, a method to allocate the inference computation of each network layer to each device in multi-layer IoT system. To our best knowledge, this is the first attempt to solve this problem. We design a dynamic programming algorithm to minimize the response time when weighing the cost of computation and transmission. Simulation results show that our approach makes significant improvements in system response time.
収録刊行物
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- IEEE WIRELESS COMMUNICATIONS LETTERS
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IEEE WIRELESS COMMUNICATIONS LETTERS 8 (3), 825-828, 2019
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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詳細情報 詳細情報について
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- CRID
- 1050567903500592384
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- NII論文ID
- 120006900338
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- ISSN
- 21622345
- 21622337
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- HANDLE
- 10258/00010298
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- IRDB
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