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Matsuno Hiroshi

Affiliate Master Yamaguchi University

Cross layer fault-tolerant cognitive diversity scheme for social information based artificial intelligent networks

Journal of East Asian studies Volume 18 Page 335-348
published_at 2020-03
D300018000020.pdf
[fulltext] 3.04 MB
Title
Cross layer fault-tolerant cognitive diversity scheme for social information based artificial intelligent networks
Creators Zhong Yingji
Creators Ge Qi-Wei
Creators Matsuno Hiroshi
Source Identifiers
Creator Keywords
artificial intelligent networks cognitive diversity spatial reusability fault-tolerant
In this paper a special scenario of the topology in the artificial intelligent networks is studied, and a new cross-layer fault-tolerant cognitive scheme based on the topology information is proposed to exploit both the channel diversity and spatial reusability. The proposed Cross Layer Faulttolerant Cognitive Diversity Scheme (CL-FCDS) resides between the MAC layer and network layer, and aims to improve the network throughput by coordinating the transmission power at each node, selecting channel on each wireless interface, and deciding the routes based on the traffic information measured and exchanged among the multi-hop neighbor nodes. The Cognitive Diversity Air Time Metric (CDATM) is also introduced to quantify the difference of various adjustment factors. The proposed scheme achieves efficient utilization of available channels by selecting feasible adjustment candidates with the smallest CDATM value and coordinating the affected nodes to realize the adjustment. NS2 simulation reveals that the proposed scheme allows substantial improvement on the throughput and the outage probability, along with fault-tolerant cognition.
Languages eng
Resource Type journal article
Publishers 山口大学大学院東アジア研究科
Date Issued 2020-03
File Version Version of Record
Access Rights open access
Relations
[ISSN]1347-9415
[NCID]AA11831154
Schools 教育学部 その他