TIIS (한국인터넷정보학회)
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| 한글제목(Korean Title) |
Adaptive Success Rate-based Sensor Relocation for IoT Applications |
| 영문제목(English Title) |
Adaptive Success Rate-based Sensor Relocation for IoT Applications |
| 저자(Author) |
Moonseong Kim
Woochan Lee
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| 원문수록처(Citation) |
VOL 15 NO. 09 PP. 3120 ~ 3137 (2021. 09) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Small-sized IoT wireless sensing devices can be deployed with small aircraft such as drones, and the deployment of mobile IoT devices can be relocated to suit data collection with efficient relocation algorithms. However, the terrain may not be able to predict its shape. Mobile IoT devices suitable for these terrains are hopping devices that can move with jumps. So far, most hopping sensor relocation studies have made the unrealistic assumption that all hopping devices know the overall state of the entire network and each device's current state. Recent work has proposed the most realistic distributed network environment-based relocation algorithms that do not require sharing all information simultaneously. However, since the shortest path-based algorithm performs communication and movement requests with terminals, it is not suitable for an area where the distribution of obstacles is uneven. The proposed scheme applies a simple Monte Carlo method based on relay nodes selection random variables that reflect the obstacle distribution's characteristics to choose the best relay node as reinforcement learning, not specific relay nodes. Using the relay node selection random variable could significantly reduce the generation of additional messages that occur to select the shortest path. This paper's additional contribution is that the world's first distributed environment-based relocation protocol is proposed reflecting real-world physical devices' characteristics through the OMNeT simulator. We also reconstruct the three days-long disaster environment, and performance evaluation has been performed by applying the proposed protocol to the simulated real-world environment. |
| 키워드(Keyword) |
Hopping Sensor
Mobile IoT
Reinforcement Learning-based Protocol
Relocation Protocol
Sensory Data Networking
Simulation
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| 파일첨부 |
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