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Authors: Zilong Jin 1 ; Donghai Guan 1 ; Jinsung Cho 1 and Ben Lee 2

Affiliations: 1 Kyung Hee University, Korea, Republic of ; 2 Oregon State University, United States

ISBN: 978-989-758-001-7

ISSN: 2184-4380

Keyword(s): Machine Learning, Semi-supervised Learning, Routing Algorithm, Cognitive Radio Sensor Networks.

Related Ontology Subjects/Areas/Topics: Sensor Networks ; Wireless Information Networks ; Wireless Network Protocols

Abstract: In Cognitive Radio Sensor Networks (CRSNs), the cognitive radio technology enables sensor nodes to occupy licensed bands in a opportunistic manner and provides advantages in terms of spectrum utilization and system throughput. This paper proposes a routing scheme based on semi-supervised learning, which jointly considers energy efficiency, context-awareness, and optimal path configuration to enhance communication efficiency. A context-aware module is developed to collect and learn context information in an energy-efficient way and a new semi-supervised learning algorithm is proposed to estimate dynamic changes in network environment. A novel routing metric is used to select the most reliable and stable path. Our simulation study shows that the proposed routing algorithm enhances the reliability and stability for CRSNs, and at the same time, significantly improves the packet delivery ratio.

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Paper citation in several formats:
Jin, Z.; Guan, D.; Cho, J. and Lee, B. (2014). A Routing Algorithm based on Semi-supervised Learning for Cognitive Radio Sensor Networks.In Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-001-7, ISSN 2184-4380, pages 188-194. DOI: 10.5220/0004712401880194

@conference{sensornets14,
author={Zilong Jin. and Donghai Guan. and Jinsung Cho. and Ben Lee.},
title={A Routing Algorithm based on Semi-supervised Learning for Cognitive Radio Sensor Networks},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2014},
pages={188-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004712401880194},
isbn={978-989-758-001-7},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - A Routing Algorithm based on Semi-supervised Learning for Cognitive Radio Sensor Networks
SN - 978-989-758-001-7
AU - Jin, Z.
AU - Guan, D.
AU - Cho, J.
AU - Lee, B.
PY - 2014
SP - 188
EP - 194
DO - 10.5220/0004712401880194

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