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Joint design of clustering and in-cluster data route for heterogeneous wireless sensor networks

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Abstract

A heterogeneous wireless sensor network comprises a number of inexpensive energy constrained wireless sensor nodes which collect data from the sensing environment and transmit them toward the improved cluster head in a coordinated way. Employing clustering techniques in such networks can achieve balanced energy consumption of member nodes and prolong the network lifetimes. In classical clustering techniques, clustering and in-cluster data routes are usually separated into independent operations. Although separate considerations of these two issues simplify the system design, it is often the non-optimal lifetime expectancy for wireless sensor networks. This paper proposes an integral framework that integrates these two correlated items in an interactive entirety. For that, we develop the clustering problems using nonlinear programming. Evolution process of clustering is provided in simulations. Results show that our joint-design proposal reaches the near optimal match between member nodes and cluster heads.

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Authors and Affiliations

Authors

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Correspondence to Ying Liu.

Additional information

This work was supported by National Natural Science Foundation of China (Nos. 61304131 and 61402147), Grant of China Scholarship Council (No. 201608130174), Natural Science Foundation of Hebei Province (Nos. F2016402054 and F2014402075), the Scientific Research Plan Projects of Hebei Education Department (Nos.BJ2014019, ZD2015087 and QN2015046), and the Research Program of Talent Cultivation Project in Hebei Province (No. A2016002023).

Recommended by Associate Editor Shuang-Hua Yang

Liang Xue received the B. Sc., M. Sc. and Ph. D. degrees in control theory and engineering from Yanshan University, China in 2006, 2009 and 2012, respectively. He is currently an associate professor with School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China. He is currently in charge of several research projects, including work with National Natural Science Foundation of China, Scientific Research Plan of the Hebei Education Department, etc. He is the Outstanding Young Scholar of the Hebei Education Department and the Third Level Talent of New Century 333 Talent Project in Hebei Province.

His research interests include clustering design, hierarchical topology control, and data routing in wireless sensor networks and wireless cognitive radio networks.

Ying Liu received the B. Sc. degree in electronic information engineering from Hebei University of Engineering, China in 2014. She is currently a master student at School of Computer Science and Technology, Hebei University of Engineering, China.

Her research interests include wireless cognitive radio networks, convex optimization and resource allocation in simultaneous wireless information and power transfer.

Zhi-Qun Gu received the B. Sc. degree in electronic information engineering from North China University of Science and Technology, and received the M. Sc. degree in software engineering from Hebei University of Engineering, China. She is currently a Ph. D. degree candidate at Beijing University of Posts and Telecommunications, China.

Her research interests include power allocation, data routing and interference mitigation in wireless body area networks and wireless sensor networks.

Zhi-Hua Li received the M. Sc. degree in communication and information system from Hebei University, China, and received the Ph.D. degree in electrical engineering from Hebei University of Technology, China. She is currently an associate professor with School of Information and Electrical Engineering, Hebei University of Engineering, China. She is currently in charge of several research projects, including work with National Natural Science Foundation of China, Scientific Research Plan of the Hebei Education Department, etc.

Her research interests include wireless sensor networks, and comprehensive information of coal mine.

Xin-Ping Guan received the Ph.D. degree in control and systems from Harbin Institute of Technology, China in 1999. In 2007, he joined Department of Automation, Shanghai Jiao Tong University, China. He is currently a distinguished university professor, the executive deputy dean of the University Office of Research Management, and the director of the Key Laboratory of Systems Control and Information Processing, Ministry of Education of China. Before that, he was a professor and the dean of Electrical Engineering, Yanshan University, China, during 1998–2008. As a principal investigator, he has finished/been working on many national key projects. He is the leader of the prestigious Innovative Research Team awarded by the National Natural Science Foundation of China. He has authored and/or coauthored four research monographs, more than 180 papers in IEEE Transactions and other peer-reviewed journals, and numerous conference papers. He is an executive committee member of the Chinese Automation Association Council and the Chinese Artificial Intelligence Association Council. He was on the editorial board of the IEEE Transactions On Systems, Man, And Cybernetics Part C and several Chinese journals. He received the First Prize of the Natural Science Award from the Ministry of Education of China in 2006 and the Second Prize from the National Natural Science Award of China in 2008. He received the IEEE Transactions On Fuzzy Systems Outstanding Paper Award in 2008. He was honored as a National Outstanding Youth by the National Science Foundation of China, a Changjiang Scholar by the Ministry of Education of China, and a State-level Scholar of the New Century Bai Qianwan Talent Program of China.

His research interests include cyberphysical systems, multiagent systems, wireless networking and applications in smart cities and smart factories and underwater sensor networks.

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Xue, L., Liu, Y., Gu, ZQ. et al. Joint design of clustering and in-cluster data route for heterogeneous wireless sensor networks. Int. J. Autom. Comput. 14, 637–649 (2017). https://doi.org/10.1007/s11633-017-1094-7

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  • DOI: https://doi.org/10.1007/s11633-017-1094-7

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