Algorithms for energy-harvesting wireless networks

doi:10.1017/CBO9781139084284.003

2 - Algorithms for energy-harvesting wireless networks

from Part I - Communication architectures and models for green radio networks

Published online by Cambridge University Press: 05 August 2012

Vinod Sharma ,

Utpal Mukherji and

Vinay Joseph

Edited by

Ekram Hossain ,

Vijay K. Bhargava and

Gerhard P. Fettweis

Show author details

Vinod Sharma: Affiliation:
Indian Institute of Science, India
Utpal Mukherji: Affiliation:
Indian Institute of Science, India
Ekram Hossain: Affiliation:
University of Manitoba, Canada
Vijay K. Bhargava: Affiliation:
University of British Columbia, Vancouver
Gerhard P. Fettweis: Affiliation:
Technische Universität, Dresden

Book contents

Get access

Summary

Introduction

Carbon emissions due to various man-made devices are one of the main reasons for global warming. Green communications is largely concerned with reducing the carbon emissions caused during communications. One of the main reasons for carbon emissions in communication is the emission in generating the electrical energy consumed in communication networks. Soon, the electrical energy consumed in information and communication technology (ICT) related activities will be about 14% of all the electrical energy consumed in the world [1]. A large part of this is consumed in wireless communication networks (where the base station consumes most of the energy). Thus, reducing the carbon emission due to the energy used in wireless communications will have a significant environmental impact. This can be done in two ways. One of course is that we should reduce the electrical energy consumed in communications. Recent work has shown that the energy consumed can easily be reduced to one-third [1, 2]. The other way is to generate the energy used in a way that reduces (or totally eliminates) carbon emission. If one generates electricity via coal or gas installations, typically 800–950 gram CO2 (equivalent) is emitted per kwh. However, if one generates it via solar cells or wind turbines there is no emission at all [1, 2]. Therefore, there has been tremendous interest in using solar and/or wind energy at the base stations (BSs) of cellular systems [2].

Information

Type: Chapter
Information: Green Radio Communication Networks , pp. 24 - 52

DOI: https://doi.org/10.1017/CBO9781139084284.003 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Book purchase

Temporarily unavailable

References

[1] W., Vereecken, et al., “Overall ICT footprint and green communication technologies,” in Proc. of 4th Int. Symp. on Commun., Control and SP (ISCCP), 2010.Google Scholar

[2] A., Amanna, “Green Communication,” Annotated Literature Review and Research Vision, Virginia Tech. [Online]. Available: http://filebox.vt.edu/users/aamanna/webpage/

[3] H., Aksoy, et al., “Stochastic generation of hourly mean wind speed data,” Renewable Energy, vol. 29, pp. 2111–2131, 2004.Google Scholar

[4] A., Kansal, et al., “Power management in energy harvesting sensor networks,” ACM Trans. Embed. Comput. System, vol. 6, 2007.Google Scholar

[5] E., Oh, et al., “Toward dynamic energy efficient operation of cellular network infrastructure,” IEEE Commun. Magazine, vol. 49, no. 6, pp. 56–61, 2011.Google Scholar

[6] K. D., Turck, et al., “Performance of IEEE 802.16e sleep mode mechanism in the presence of bidirectional traffic,” 1st Int. Workshop on Green Communications (GreenComm'09), 2009.Google Scholar

[7] D., Valerdi, et al., “Intelligent energy managed service for green base stations,” IEEE GLOBECOM Workshop on Green Communications, pp. 1453–1457, 2010.Google Scholar

[8] V., Raghunathan, S., Ganeriwal, and M., Srivastava, “Emerging techniques for long-lived wireless sensor networks,” IEEE Commun. Magazine, vol. 44, no. 4, 2006.Google Scholar

[9] O., Ozel and S., Ulukus, “Information theoretic analysis of an energy harvesting communication system,” IEEE PIMRC, 2010.Google Scholar

[10] S., Cui, A., Goldsmith, and A., Bahai, “Energy constrained modulation optimization,” IEEE Trans. Wireless Commun., vol. 4, pp. 2349–2363, 2005.Google Scholar

[11] P., Grover and A., Sahai, “Time division multiplexing for green communication,” IEEE Int. Symposium on Information Theory (ISIT), vol. 4, 2009.Google Scholar

[12] Z. A., Eu, H-P., Tan, and W. K. G., Seah, “Opportunistic routing in wireless sensor networks powered by ambient energy harvesting,” Computer Networks, vol. 54, no. 17, 2010.Google Scholar

[13] E., Lattanzi, et al., “Energetic sustainability of routing algorithms for energy harvesting wireless sensor networks,” Computer Commun., vol. 30, no. 14–15, pp. 2976–2986, 2007.Google Scholar

[14] L., Lin, B., Shroff, and R., Srikant, “Asymptotically optimal energy-aware routing for multihop wireless networks with renewable energy sources,” IEEE/ACM Trans. Networking., vol. 15, pp. 1021–1034, 2007.Google Scholar

[15] M., Gatzianas, L., Georgiadis, and L., Tassiulas, “Control of wireless networks with rechargeable batteries,” IEEE Trans. Wireless Commun., vol. 9, pp. 581–593, Feb. 2010.Google Scholar

[16] Z., Mao, C., Koksal, and N., Shroff, “Resource allocation in sensor networks with renewable energy,” in Proc. of 19th Int. Conf. on Computer Commun. and Networking (ICCCN), 2010.Google Scholar

[17] S., Singh and C., Yiu, “Putting the cart before the horse: merging traffic for energy conservation,” IEEE Commun. Magazine, vol. 49, no. 6, pp. 78–82, 2011.Google Scholar

[18] C., Hu, et al., “On the design of green reconfigurable router toward energy efficient internet,” IEEE Commun. Magazine, vol. 49, no. 6, pp. 83–87, 2011.Google Scholar

[19] V., Joseph, V., Sharma, and U., Mukherji, “Optimal sleep-wake policies for an energy harvesting sensor node,” in Proc. of IEEE Int. Conf. on Commun. (ICC), 2009.Google Scholar

[20] R., Rajesh, V., Sharma, and P., Viswanath, “Information capacity of energy harvesting sensor nodes,” in Proc. of IEEE International Symposium on Information Theory (ISIT), 2011.Google Scholar

[21] V., Sharma, et al., “Optimal energy management policies for energy harvesting sensor nodes,” IEEE Trans. Wireless Commun., vol. 9, pp. 1326–1336, 2010.Google Scholar

[22] V., Joseph, V., Sharma, and U., Mukherji, “Efficient energy management policies for networks with energy harvesting sensor nodes,” in Proc. of 46th Allerton Conf. on Commun., Control and Computing, 2008.Google Scholar

[23] V., Joseph, V., Sharma, and U., Mukherji, “Joint power control, scheduling and routing for multihop energy harvesting sensor networks,” in Proc. of ACM MSWiM, 2009.Google Scholar

[24] G., Schmitt, “The green base station,” 4th International Conference on Telecommunication – Energy Special Conference (TELESCON), 2009.Google Scholar

[25] P., Ferreira, et al., “Interfaces for renewable energy sources with electric power systems,” in Proc. of Environment 2010: Situation and Perspectives for the European Union, Porto, Portugal, 2003.Google Scholar

[26] R. K., Ahuja, T. L., Magnanti, and J. B., Orlin, Network Flows: Theory, Algorithms and Applications. N.J., USA: Prentice Hall, 1993.Google Scholar

[27] S., Asmussen, Applied Probability and Queues. 2nd ed., N.Y.: Springer, 2003.Google Scholar

[28] R., Rajesh, V., Sharma, and P., Viswanath, “Capacity for fading gaussian channel with an energy harvesting sensor node,” in Proc. of IEEE Globecom, 2011.Google Scholar

[29] R., Knopp and P., Humblet, “Information capacity and power control in single-cell multiuser communications,” in Proc. of IEEE Int. Conf. on Commun. (ICC), pp. 331–335, 1995.Google Scholar

[30] A., Eryilmaz, R., Srikant, and J.R., Perkins, “Stable scheduling policies for fading wireless channels,” IEEE/ACM Trans. on Networking., vol. 13, pp. 411–424, 2005.Google Scholar

[31] S., Haykin, Adaptive Filtering Theory. 3rd ed., N.J., USA: Printice Hall, 1996.Google Scholar

[32] Q., Zhao and L., Tong, “Opportunistic carrier sensing for energy efficient information retrieval in sensor networks,” EURASIP Journal on Wireless Commun. and Networking, vol. 2, pp. 231–241, 2005.Google Scholar

[33] P. Y., Massad, M., Medard and L., Zheng, “Impact of processing energy on the capacity of wireless channels,” Proc. of ISITA, Italy, 2004.Google Scholar

[34] V., Joseph, et al., “Joint power control, scheduling and routing for multicast in multihop energy harvesting sensor networks,” in Proc. of ICUMI, 2009.Google Scholar

Accessibility standard: Unknown

Accessibility compliance for the PDF of this book is currently unknown and may be updated in the future.