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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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References

  1. Schwiebert, L., Gupta, S., & Weinmann, J. (2001). Research challenges in wireless networks of biomedical sensors. In ACM MobiCom (pp. 151–165).

  2. Brooks, B., Ramanathan, P., & Sayeed, A. (2003). Distributed target classification and tracking in sensor networks. Proceeding of the IEEE, 91(8), 1163–1171.

    Article  Google Scholar 

  3. Cerpa, A., Elson, J., Hamilton, M., & Zhao, J. (2001). Habitat monitoring: Application drive for wireless communications technology. In ACM SIGCOMM computer communication review workshop on data communication in Latin America and the Caribbean (pp. 20–41).

  4. Mainwaring, A., Polastre, J., Szewczyk, R., Culler, D., & Anderson, J. (2002). Wireless sensor networks for habitat monitoring. ACM WSNA (pp. 88–97).

  5. Zhang, P., Sadler, C., Lyon, S., & Martonosi, M. (2004). Hardware design experiences in zebranet. ACM SenSys (pp. 227–238).

  6. Anastasi, G., Conti, M., Francesco, M., & Passarella, A. (2009). Energy conservation in wireless sensor networks. Ad Hoc Networks, 7(3), 537–568.

    Article  Google Scholar 

  7. Luo, J., & Hubaux, J. (2005). Joint mobility and routing for lifetime elongation in wireless sensor networks. IEEE INFOCOM (pp. 1735–1746).

  8. Neely, M. (2006). Energy optimal control for time-varying wireless networks. IEEE Transactions on Information Theory, 52(7), 2915–2934.

    Article  MathSciNet  MATH  Google Scholar 

  9. Ciullo, D., Celik, G., & Modiano, E. (2010). Minimizing transmission energy in sensor networks via trajectory control. In IEEE 8th international symposium on modeling and optimization in mobile, ad hoc and wireless networks (WiOpt) (pp. 132–141).

  10. Ahmad, A., Jabbar, S., Paul, A., & Rho, S. (2014). Mobility aware energy efficient congestion control in mobile wireless sensor network. International Journal of Distributed Sensor Networks, 2014, 1–13.

    Google Scholar 

  11. Bijarbooneh, F., Du, W., Ngai, E., & Fu, X. (2014). Energy-efficient sensor selection for data quality and load balancing in wireless sensor networks. In International symposium on quality of service (pp. 1–6).

  12. Georgiadis, L., Neely, M., & Tassiulas, L. (2006). Resource allocation and cross-layer control in wireless networks. Foundation and Trends in Networking, 1(1), 1–144.

    Article  Google Scholar 

  13. Song, Y., & Fang, Y. (2010). Cross-layer interactions in multihop wireless sensor networks: A constrained queueing model. ACM Transactions on Modeling and Computer Simulation, 21(1), 4–25.

    Article  Google Scholar 

  14. Neely, M. (2010). Stochastic network optimization with application to communication and queueing systems. New Jersey: Morgan & Claypool Publishers.

    MATH  Google Scholar 

  15. Neely, M. (2011). Opportunistic scheduling with worst case delay guarantees in single and multi-hop networks. IEEE INFOCOM (pp. 1728–1736).

  16. Huang, L. (2013). Optimal sleep-wake scheduling for energy harvesting smart mobile devices. In 2013 International symposium and workshops on modeling and optimization in mobile, ad hoc and wireless networks (pp. 484–491).

  17. Neely, M. (2014). Distributed stochastic optimization via correlated scheduling. IEEE INFOCOM (pp. 2418–2426).

  18. Fang, W., Li, Y., Zhang, H., & Xiong, N. (2014). On the throughput-energy tradeoff for data transmission between cloud and mobile devices. Elsevier Information Science, 283, 79–93.

    Article  Google Scholar 

  19. Zafer, M., & Modiano, E. (2005). A calsulus approach to minimum energy transmission policies with quality of service guarantees. IEEE INFOCOM (pp. 548–559).

  20. Uysal-Biyikoglu, E., Prabhakar, B., & Gamal, A. (2002). Energy-efficient packet transmission over a wireless link. IEEE /ACM Transactions on Networking, 10(4), 487–499.

  21. Chen, W., Neely, M., & Mitra, U. (2008). Energy-efficient transmission with individual packet delay constraints. IEEE Transactions on Information Theory, 54(5), 2090–2109.

  22. Le, L., Modiano, E., & Shroff, N. (2010). Optimal control of wireless networks with finite buffers. IEEE INFOCOM (pp. 1316–1329).

  23. Ying, L., Shakkottai, S., Reddy, A., & Liu, S. (2011). On combining shortestpath and back-pressure routing over multihop wireless networks. IEEE/ACM Transaction on Networking, 19(3), 841–854.

    Article  Google Scholar 

  24. Toulabi, M., & Javadi, S. (2013). Energy-saving in wireless sensor networks based on sink movement control using fuzzy logic. Journal of Wireless Sensor Network, 1(1), 1–7.

    Google Scholar 

  25. Zamalloa, M., & Krishnamachari, B. (2007). An analysis of unreliability and asymmetry in low-power wireless links. ACM Transactions on Sensor Networks, 3(2), 1–34.

    Article  Google Scholar 

  26. Estrin, D. (2002). Tutorial wireless sensor networks part iv: Sensor network protocols. In ACM MobiCom.

Download references

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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  1. School of Information Science and Technology, Northwest University, Xi’an, 710127, China

    Xiaoyan Yin, Dingyi Fang, Wei Wang & Xiaojiang Chen

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  1. Xiaoyan Yin
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  2. Dingyi Fang
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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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  • DOI: https://doi.org/10.1007/s11276-015-0989-x

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