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Introduction

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Sustainable Wireless Networks

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

The growing user demand and the expansion of wireless communications have led to a tremendous growth of energy consumption in wireless access. Due to the limited battery capacity of mobile devices and the increasing cost of energy from the electricity grid, energy efficiency has become one of the most essential research issues in wireless communications. Many studies have investigated how to minimize energy consumption to extend the network lifetime (Zhuang et al., IEEE ICDCS Workshop on Wireless Adhoc and Sensor Networking (WWASN), 2009; Zhuang et al., IEEE INFOCOM, 2010; Chao and Lee, IEEE Transactions on Vehicular Technology, 2010) or maximize energy efficiency or energy utilization (Miao et al., IEEE Transactions on Communications, 2012; Lim and CLJ, IEEE Transactions on Wireless Communications, 2013; Chamam and Pierre, IEEE Transactions on Mobile Computing, 2009) of a communication network powered by traditional energy.

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References

  1. Y. Zhuang, J. Pan, and L. Cai, “Minimizing energy consumption with probabilistic distance models in wireless sensor networks,” in IEEE INFOCOM, San Diego, CA, USA, 15-19 Mar. 2010, pp. 1–9.

    Google Scholar 

  2. Y. Zhuang, J. Pan, and G. Wu, “Energy-optimal grid-based clustering in wireless microsensor networks,” in IEEE ICDCS Workshop on Wireless Adhoc and Sensor Networking (WWASN), 2009.

    Google Scholar 

  3. C. Chao and Y. Lee, “A quorum-based energy-saving MAC protocol design for wireless sensor networks,” IEEE Transactions on Vehicular Technology, vol. 59, no. 2, pp. 813–822, Feb. 2010.

    Article  Google Scholar 

  4. G. Miao, N. Himayat, G. Y. Li, and S. Talwar, “Low-complexity energy-efficient scheduling for uplink OFDMA,” IEEE Transactions on Communications, vol. 60, no. 1, pp. 112–120, Jan. 2012.

    Article  Google Scholar 

  5. G. Lim and C. L. J. Jr, “Energy-efficient cooperative beamforming in clustered wireless networks,” IEEE Transactions on Wireless Communications, vol. 12, no. 3, pp. 1376–1385, Mar. 2013.

    Article  Google Scholar 

  6. A. Chamam and S. Pierre, “On the planning of wireless sensor networks: Energy-efficient clustering under the joint routing and coverage constraint,” IEEE Transactions on Mobile Computing, vol. 8, no. 8, pp. 1077–1086, Aug. 2009.

    Article  Google Scholar 

  7. SRI - Center for Uncertainty Quantification in Computer Science & Engineering. [Online]. Available: http://sri-uq.kaust.edu.sa/Pages/greenwireless.aspx

  8. Centre for White Space Communications. [Online]. Available: http://www.wirelesswhitespace.org/projects/wind-fi-renewable-energy-basestation.aspx

  9. G. P. Fettweis and E. Zimmermann, “ICT energy consumption-trends and challenges,” in WPMC, Lapland, FI, 8-11 Sep. 2008, pp. 2006–2009.

    Google Scholar 

  10. Huawei. [Online]. Available: http://www.greenhuawei.com/green/greenenergy.html

  11. Sprint. [Online]. Available: http://www.sprint.com/responsibility/ouroperations/climate_change/renewable-energy.html

  12. L. X. Cai, Y. Liu, H. T. Luan, X. Shen, J. W. Mark, and H. V. Poor, “Adaptive resource management in sustainable energy powered wireless mesh networks,” in IEEE Globecom, Houston, TX, USA, 5-9 Dec. 2011, pp. 1–5.

    Google Scholar 

  13. L. X. Cai, H. V. Poor, Y. Liu, T. H. Luan, X. Shen, and J. W. Mark, “Dimensioning network deployment and resource management in green mesh networks,” IEEE Wireless Communications, vol. 18, no. 5, pp. 58–65, Oct. 2011.

    Article  Google Scholar 

  14. Z. Zheng, L. X. Cai, R. Zhang, and X. Shen, “RNP-SA: Joint relay placement and sub-carrier allocation in wireless communication networks with sustainable energy,” IEEE Transactions on Wireless Communications, vol. 11, no. 10, pp. 3818–3828, Oct. 2012.

    Article  Google Scholar 

  15. Z. Zheng, B. Zhang, X. Jia, J. Zhang, and K. Yang, “Minimum AP placement for WLAN with rate adaptation using physical interference model,” in IEEE Globecom, Miami, FL, USA, 6-10 Dec. 2010, pp. 1–5.

    Google Scholar 

  16. J. Zhang, X. Jia, Z. Zheng, and Y. Zhou, “Minimizing cost of placement of multi-radio and multi-power-level access points with rate adaptation in indoor environment,” IEEE Transactions on Wireless Communications, vol. 10, no. 7, pp. 2186–2195, Jul. 2011.

    Article  Google Scholar 

  17. B. Aoun, R. Boutaba, Y. Iraqi, and G. Kenward, “Gateway placement optimization in wireless mesh networks with QoS constraints,” IEEE Journal on Selected Areas in Communications, vol. 24, no. 11, pp. 2127–2136, Nov. 2006.

    Article  Google Scholar 

  18. Y. T. Hou, Y. Shi, H. D. Sherali, and S. F. Midkiff, “On energy provisioning and relay node placement for wireless sensor networks,” IEEE Transactions on Wireless Communications, vol. 4, no. 5, pp. 2579–2590, Sep. 2005.

    Article  Google Scholar 

  19. Z. Cheng, M. Perillo, and W. B. Heinzelman, “General network lifetime and cost models for evaluating sensor network deployment strategies,” IEEE Transactions on Mobile Computing, vol. 7, no. 4, pp. 484–497, Apr. 2008.

    Article  Google Scholar 

  20. F. Wang, D. Wang, and J. Liu, “Traffic-aware relay node deployment: Maximizing lifetime for data collection wireless sensor networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 22, no. 8, pp. 1415–1423, Aug. 2011.

    Article  Google Scholar 

  21. P. G. Brevis, J. Gondzio, Y. Fan, H. V. Poor, J. Thompson, I. Krikidis, and P. J. Chung, “Base station location optimization for minimal energy consumption in wireless networks.” in IEEE VTC, Budapest, HUN, 15-18 May. 2011, pp. 1–5.

    Google Scholar 

  22. S. Saengthong and S. Premrudeepreechacham, “A simple method in sizing related to the reliability supply of small stand-alone photovoltaic systems,” in IEEE PVSC, Anchorage, AK, USA, 15-22 Sep. 2000, pp. 1630–1633.

    Google Scholar 

  23. H. A. M. Maghraby, M. H. Shwehdi, and G. K. Al-Bassam, “Probabilistic assessment of photovoltaic (pv) generation systems,” IEEE Transactions on Power Systems, vol. 17, no. 1, pp. 205–208, Feb. 2002.

    Article  Google Scholar 

  24. E. Lorenzo and L. Navarte, “On the usefulness of stand-alone PV sizing methods,” Progress in Photovoltaics: Research and Applications, vol. 8, no. 4, pp. 391–409, Aug. 2000.

    Article  Google Scholar 

  25. E. Lattanzi, E. Regini, A. Acquaviva, and A. Bogliolo, “Energetic sustainability of routing algorithms for energy-harvesting wireless sensor networks,” Computer Communications, vol. 30, no. 14–15, pp. 2976–2986, Oct. 2007.

    Article  Google Scholar 

  26. T. D. Todd, A. A. Sayegh, M. N. Smadi, and D. Zhao, “The need for access point power saving in solar powered WLAN mesh networks,” IEEE Network, vol. 22, no. 3, pp. 4–10, May.-Jun. 2008.

    Article  Google Scholar 

  27. M. Erol-Kantarci and H. T. Mouftah, “Suresense: sustainable wireless rechargeable sensor networks for the smart grid,” IEEE Wireless Communications, vol. 19, no. 3, pp. 30–36, Jun. 2012.

    Article  Google Scholar 

  28. A. Farbod and T. D. Todd, “Resource allocation and outage control for solar-powered WLAN mesh networks,” IEEE Transactions on Mobile Computing, vol. 6, no. 8, pp. 960–970, Aug. 2007.

    Article  Google Scholar 

  29. L. X. Cai, H. V. Poor, Y. Liu, T. H. Luan, X. Shen, and J. W. Mark, “Dimensioning network deployment and resource management in green mesh networks,” IEEE Wireless Communications, vol. 18, no. 5, pp. 58–65, Oct. 2011.

    Article  Google Scholar 

  30. Z. Zheng, B. Zhang, X. Jia, J. Zhang, and K. Yang, “Minimum AP placement for WLAN with rate adaptation using physical interference model,” in IEEE Globecom, Miami, FL, USA, 6-10 Dec. 2010, pp. 1–5.

    Google Scholar 

  31. P. G. Brevis, J. Gondzio, Y. Fan, H. V. Poor, J. Thompson, I. Krikidis, and P. J. Chung, “Base station location optimization for minimal energy consumption in wireless networks.” in IEEE VTC, Budapest, HUN, 15-18 May. 2011, pp. 1–5.

    Google Scholar 

  32. M. Erol-Kantarci and H. T. Mouftah, “Suresense: sustainable wireless rechargeable sensor networks for the smart grid,” IEEE Wireless Communications, vol. 19, no. 3, pp. 30–36, Jun. 2012.

    Article  Google Scholar 

  33. A. Farbod and T. D. Todd, “Resource allocation and outage control for solar-powered WLAN mesh networks,” IEEE Transactions on Mobile Computing, vol. 6, no. 8, pp. 960–970, Aug. 2007.

    Article  Google Scholar 

  34. E. Lattanzi, E. Regini, A. Acquaviva, and A. Bogliolo, “Energetic sustainability of routing algorithms for energy-harvesting wireless sensor networks,” Computer Communications, vol. 30, no. 14–15, pp. 2976–2986, Oct. 2007.

    Article  Google Scholar 

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Zheng, Z., Cai, L., Shen, X. (2013). Introduction. In: Sustainable Wireless Networks. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-02469-1_1

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  • DOI: https://doi.org/10.1007/978-3-319-02469-1_1

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