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View all- Murakami MKominami DLeibnitz KMurata M(2018)Drawing Inspiration from Human Brain Networks: Construction of Interconnected Virtual NetworksSensors10.3390/s1804113318:4(1133)Online publication date: 8-Apr-2018
Constructing virtual IoT network topologies with a brain-inspired connectivity model
Authors: 
Masaya Murakami, 
Kenji Leibnitz, Daichi Kominami, Tetsuya Shimokawa, Masayuki MurataAuthors Info & Claims
Masaya Murakami, Kenji Leibnitz, Daichi Kominami, Tetsuya Shimokawa, Masayuki MurataAuthors Info & ClaimsArticle No.: 78, Pages 1 - 8
Abstract
Wireless sensor networks will be one of the fundamental technologies for realizing the future Internet of Things (IoT) environment. In IoT, the number of connected devices is expected to increase drastically and there will be a wide variety of requirements for application services, which will lead to frequent modifications or construction/destruction of topologies. In such situations, it is essential to know how power-saving, low-latency, and highly efficient IoT network topologies can be constructed. In this paper, we take inspiration from the brain's network of interconnecting neurons is known for its efficient properties. We propose a virtual IoT network construction method based on the Exponential Distance Rule (EDR) model that describes the connection structure of the areas in the cerebral cortex. Since the original EDR model deals with large-scale networks with an enormous number of neurons and generates links between nodes considering physical distance constraints, the virtual IoT network constructed by the proposed method is able to achieve high scalability, low latency, and high communication efficiency at a relatively low cost.
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- Constructing virtual IoT network topologies with a brain-inspired connectivity model
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January 2017
746 pages
ISBN:9781450348881
DOI:10.1145/3022227
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Published: 05 January 2017
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IMCOM '17
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IMCOM '17: The 11th International Conference on Ubiquitous Information Management and Communication
January 5 - 7, 2017
Beppu, Japan
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IMCOM '17 Paper Acceptance Rate 113 of 366 submissions, 31%;
Overall Acceptance Rate 213 of 621 submissions, 34%
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View all- Murakami MKominami DLeibnitz KMurata M(2018)Drawing Inspiration from Human Brain Networks: Construction of Interconnected Virtual NetworksSensors10.3390/s1804113318:4(1133)Online publication date: 8-Apr-2018
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