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EETC: to transmit or not to transmit in mobile wireless sensor networks

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Abstract

Mobile wireless sensor networks (MWSNs) have emerged as a promising data gathering paradigm for animal preservation. In MWSNs, it is challenging to efficiently transmit data between resource-constrained mobile sensor nodes and static gateway nodes because of its unreliable and unpredictable nature. Further, elaborate statistics must be known in advance to properly decide when packets should be transmitted, and how many of them to transmit. However, mobility of targets, and instability and intermittency of wireless connections make the system difficult to control. In this paper, we propose EETC, an optimal Energy-Efficient Transmission Control strategy for MWSNs, to deal with the problem based on Lyapunov optimization. EETC comprises two steps: (1) network status collection: collecting, by way of probing messages and acknowledgement messages, information about quality of connectivity and queue backlog; (2) decision making: the mobile sensor node decides on the number of packets that should be transmitted. Our simulation results and analysis demonstrated the performance and robustness of EETC.

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Acknowledgments

This work was supported in part by NSFC under Grant Nos. 61202393 and 61170218, National Key Technology R&D Program of the Ministry of S&T of China under Grant Nos. 2013BAK01B02 and 2013BAK01B05, the Key Science and Technology Program of Shaanxi Province under Grant No. 2011K06-07, Educational Commission of Shaanxi Province, China under Grant No. 2011JG06, the Planned Science and Technology Program of Shaanxi Province under Grant No. 2011K06-09, the CPSF under Grant No. 2012M521797, the International Cooperation Foundation of Shaanxi Province, China under Grant No. 2013KW01-02, and the International Postdoctoral Exchange Fellowship Program 2013 under Grant No. 57 funded by the office of China Postdoctoral Council.

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Correspondence to Xiaojiang Chen.

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Yin, X., Fang, D., Wang, W. et al. EETC: to transmit or not to transmit in mobile wireless sensor networks. Wireless Netw 22, 635–646 (2016). https://doi.org/10.1007/s11276-015-0989-x

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