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Year 2019, Volume: 32 Issue: 2, 440 - 456, 01.06.2019

Abstract

References

  • [1] Mary Meeker, Internet word stats, Accessed Dec. 29, 2016, http://seepdf.net/doc/pdf/download/kpcbweb2__s3__amazonaws__com--files--90--Internet_Trends_2015_v3.pdf?1433793912.
  • [2] Mhlanga, M.M., Olwal, T.O., Mutanga, M.B. and Adigun, M.O., “Energy optimization based path selection algorithm for IEEE 802.11s Wireless Mesh Networks”, AFRICON 2011, Livingstone:1-6, (2011).
  • [3] Solhi, T.M. and Ghasemi, A., “Energy-efficient flow control in wireless mesh networks”, 6th International Symposium on Telecommunications (IST), Tehran: 680-685, (2012).
  • [4] Li, M., Nishiyama, H., Kato, N., Owada, Y. and Hamaguchi, K., “On the Energy-Efficient of Throughput-Based Scheme Using Renewable Energy for Wireless Mesh Networks in Disaster Area”, IEEE Transactions on Emerging Topics in Computing. 3(3): 420-431, (2015).
  • [5] Yu, Y., Peng, Y., Liu, Y., Guo, L. and Song, M., “Survivable Routing Protocol for green wireless mesh networks based on energy efficiency”, China Communications.11(8): 117-124, (2014)
  • [6] Akhtar, A. M., Nakhai, M. R., and Aghvami, A. H., “Energy-efficient adaptive routing in wireless ad hoc and mesh networks”, IET Networks. 1(4): 249-256, (2012).
  • [7] Galluccio, L., Leonardi, A., Morabito, G. and Palazzo, S., “Timely and energy-efficient communications in rural info station systems”, IEEE Wireless Communications. 15(3):48-53, (2008).
  • [8] Capone, A., Malandra, F. and Sansò, B., “Energy Savings in Wireless Mesh Networks in a Time-Variable Context”, Mobile Networks and Applications, 17(2): 298-311, (2012).
  • [9] Mamechaoui, S., Senouci, S.M., Didi, F. and Pujolle, G., “Energy Efficient Management for Wireless Mesh Networks with Green Routers”, Mobile Networks and Applications. 20(5):567–582, (2015).
  • [10] Akhtar, A. M., Nakhai, M.R. and Aghvami, A. H., “Power Aware Cooperative Routing in Wireless Mesh Networks”. IEEE Communications Letters. 16(5): 670-673, (2012).
  • [11] Cui, S., Goldsmith, A. and Bahai, A., “Energy-constrained Modulation Optimization”, IEEE Transactions on Wireless Communications. 4(5): 2349-2360, ( 2005).
  • [12] Hochbaum, D.S., “Complexity and algorithms for nonlinear optimization problems”, Annals of Operations Research. 153(1): 257-296, (2007).
  • [13] John, H. Reif, “Depth-first search is inherently sequential”, Information Processing Letters, 20(5): 229-234, (1985).

A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks

Year 2019, Volume: 32 Issue: 2, 440 - 456, 01.06.2019

Abstract

Support
of mobility is catalyst factor for use of wireless mesh networks (WMNs). They
are intended to replace wired backbone for making communication truly wireless.
With growing interest in WMNs, it can play significant contribution in
achieving objective of energy efficient communication. With need of meeting
acceptable qualities, networks are planned to support peak traffic demands. But
during low traffic periods many of resources are not utilized up to their full
capacity. A genetic algorithm based traffic consolidation approach has been
designed for WMN. Given traffic demands redundant nodes are identified and
allowed to sleep to minimize energy consumption. Tradeoff in saving by
switching off underutilized nodes and transmission or reception energy has been
considered. Results prove that significant energy can be saved by traffic
consolidation.

References

  • [1] Mary Meeker, Internet word stats, Accessed Dec. 29, 2016, http://seepdf.net/doc/pdf/download/kpcbweb2__s3__amazonaws__com--files--90--Internet_Trends_2015_v3.pdf?1433793912.
  • [2] Mhlanga, M.M., Olwal, T.O., Mutanga, M.B. and Adigun, M.O., “Energy optimization based path selection algorithm for IEEE 802.11s Wireless Mesh Networks”, AFRICON 2011, Livingstone:1-6, (2011).
  • [3] Solhi, T.M. and Ghasemi, A., “Energy-efficient flow control in wireless mesh networks”, 6th International Symposium on Telecommunications (IST), Tehran: 680-685, (2012).
  • [4] Li, M., Nishiyama, H., Kato, N., Owada, Y. and Hamaguchi, K., “On the Energy-Efficient of Throughput-Based Scheme Using Renewable Energy for Wireless Mesh Networks in Disaster Area”, IEEE Transactions on Emerging Topics in Computing. 3(3): 420-431, (2015).
  • [5] Yu, Y., Peng, Y., Liu, Y., Guo, L. and Song, M., “Survivable Routing Protocol for green wireless mesh networks based on energy efficiency”, China Communications.11(8): 117-124, (2014)
  • [6] Akhtar, A. M., Nakhai, M. R., and Aghvami, A. H., “Energy-efficient adaptive routing in wireless ad hoc and mesh networks”, IET Networks. 1(4): 249-256, (2012).
  • [7] Galluccio, L., Leonardi, A., Morabito, G. and Palazzo, S., “Timely and energy-efficient communications in rural info station systems”, IEEE Wireless Communications. 15(3):48-53, (2008).
  • [8] Capone, A., Malandra, F. and Sansò, B., “Energy Savings in Wireless Mesh Networks in a Time-Variable Context”, Mobile Networks and Applications, 17(2): 298-311, (2012).
  • [9] Mamechaoui, S., Senouci, S.M., Didi, F. and Pujolle, G., “Energy Efficient Management for Wireless Mesh Networks with Green Routers”, Mobile Networks and Applications. 20(5):567–582, (2015).
  • [10] Akhtar, A. M., Nakhai, M.R. and Aghvami, A. H., “Power Aware Cooperative Routing in Wireless Mesh Networks”. IEEE Communications Letters. 16(5): 670-673, (2012).
  • [11] Cui, S., Goldsmith, A. and Bahai, A., “Energy-constrained Modulation Optimization”, IEEE Transactions on Wireless Communications. 4(5): 2349-2360, ( 2005).
  • [12] Hochbaum, D.S., “Complexity and algorithms for nonlinear optimization problems”, Annals of Operations Research. 153(1): 257-296, (2007).
  • [13] John, H. Reif, “Depth-first search is inherently sequential”, Information Processing Letters, 20(5): 229-234, (1985).
There are 13 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Computer Engineering
Authors

Veenu Mor

Harish Kumar This is me

Publication Date June 1, 2019
Published in Issue Year 2019 Volume: 32 Issue: 2

Cite

APA Mor, V., & Kumar, H. (2019). A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks. Gazi University Journal of Science, 32(2), 440-456.
AMA Mor V, Kumar H. A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks. Gazi University Journal of Science. June 2019;32(2):440-456.
Chicago Mor, Veenu, and Harish Kumar. “A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks”. Gazi University Journal of Science 32, no. 2 (June 2019): 440-56.
EndNote Mor V, Kumar H (June 1, 2019) A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks. Gazi University Journal of Science 32 2 440–456.
IEEE V. Mor and H. Kumar, “A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks”, Gazi University Journal of Science, vol. 32, no. 2, pp. 440–456, 2019.
ISNAD Mor, Veenu - Kumar, Harish. “A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks”. Gazi University Journal of Science 32/2 (June 2019), 440-456.
JAMA Mor V, Kumar H. A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks. Gazi University Journal of Science. 2019;32:440–456.
MLA Mor, Veenu and Harish Kumar. “A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks”. Gazi University Journal of Science, vol. 32, no. 2, 2019, pp. 440-56.
Vancouver Mor V, Kumar H. A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks. Gazi University Journal of Science. 2019;32(2):440-56.