Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2019, Cilt: 32 Sayı: 2, 440 - 456, 01.06.2019

Öz

Kaynakça

  • [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

Yıl 2019, Cilt: 32 Sayı: 2, 440 - 456, 01.06.2019

Öz

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.

Kaynakça

  • [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).
Toplam 13 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Computer Engineering
Yazarlar

Veenu Mor

Harish Kumar Bu kişi benim

Yayımlanma Tarihi 1 Haziran 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 32 Sayı: 2

Kaynak Göster

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. Haziran 2019;32(2):440-456.
Chicago Mor, Veenu, ve Harish Kumar. “A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks”. Gazi University Journal of Science 32, sy. 2 (Haziran 2019): 440-56.
EndNote Mor V, Kumar H (01 Haziran 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 ve H. Kumar, “A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks”, Gazi University Journal of Science, c. 32, sy. 2, ss. 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 (Haziran 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 ve Harish Kumar. “A Proposed System Using Genetic Algorithm for Energy Efficiency in Wireless Mesh Networks”. Gazi University Journal of Science, c. 32, sy. 2, 2019, ss. 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.