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Title:
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DIRECTED DIFFUSION APPLIED TO ACTUATOR NETWORK IN IOT |
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Author(s):
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Shun Murata, Noriko Matsumoto and Norihiko Yoshida |
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ISBN:
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978-989-8533-82-1 |
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Editors:
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Pedro Isaías and Hans Weghorn |
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Year:
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2018 |
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Edition:
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Single |
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Keywords:
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Internet of Things, Actuator Network, Directed Diffusion |
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Type:
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Full Paper |
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First Page:
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277 |
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Last Page:
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284 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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By collecting and analyzing various data from things connected to the Internet, IoT can create new valuable information. Then, such obtained information is transmitted to an actuator, which can perform suitable operation to the situation and condition on the spot. However, there are only a few case studies focusing on how information obtained by data collection and analysis is given to each actuator. Therefore, in this research, we aim at achieving a network that distributes information according to requirements of actuators. To achieve this purpose, we considered applying Directed Diffusion, which is a Publish / Subscribe communication model. However, when the conventional Directed Diffusion is applied to the assumed environment of this research, there are issues that many interest and exploratory packets are generated, and that the data packet transfer route is frequently disconnected due to the movement of IoT devices. Therefore, we propose a method to connect the new data packet transfer route to the existing data packet transfer route used by another actuator. In this method, when there is a reinforced gradient corresponding to interest, transfer of interest packet is stopped, and exploratory packet is transferred from that node. In this case, since transfer of these packets is performed between the actuator and the intermediate node, the number of these transfers is suppressed. Further, it is possible to re-establish the data packet transfer route in a short time. |
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