Volume 8 Number 3 (Mar. 2013)
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JSW 2013 Vol.8(3): 639-644 ISSN: 1796-217X
doi: 10.4304/jsw.8.3.639-644

A Heterogeneous-aware Cooperative MIMO Transmission Scheme in WSN

Tingrui Pei1, 2, Da Xie1, 2, Zhetao Li1, 2, 3, Dengbiao Tu4, Youngjune Choi5
1College of Information Engineering, Xiangtan University, Xiangtan, 411105, China
2Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education, Xiangtan University, Xiangtan, 411105, China
3School of Computer, National University of Defense Technology, Changsha, 410073, China
4National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, China
5Department of Information and Computer Engineering, Ajou University, Suwon, 443749, Korea

Abstract—A heterogeneous-aware cooperative MIMO transmission scheme (HAMS) is proposed to optimize the network lifetime and save energy for energy heterogeneous wireless sensor networks (WSN). This scheme extends the traditional low-energy adaptive clustering hierarchy (LEACH) protocol to enable the cooperative MIMO transmission between the sink and clusters. Through the adaptive selection of cooperative nodes and the cooperative MIMO transmission, HAMS can gain effective performance improvement in terms of taking advantage of the presence of node heterogeneity. Based on the energy consumption model developed in this paper, the optimal parameter to minimize the overall energy consumption is found. Simulation results exhibit that HAMS can effectively save energy and prolong the network time. Furthermore, HAMS displays more resilient in different degree of heterogeneous wireless sensor networks.

Index Terms—WSN, heterogeneous-aware, cooperative MIMO, energy efficient.

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Cite: Tingrui Pei, Da Xie, Zhetao Li, Dengbiao Tu, Youngjune Choi, "A Heterogeneous-aware Cooperative MIMO Transmission Scheme in WSN," Journal of Software vol. 8, no. 3, pp. 639-644, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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