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

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

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

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  • 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 .
  • Al-Hadhrami, T., Saeed, F. and Olajide, F., “Power aware routing algorithms (PARA) in wireless mesh networks for emergency management”, Public Library of Science ONE 13(10):1-31, (2018).
  • Chen, S., Yuan, Z. and Muntean, G., “An Energy-Aware Routing Algorithm for Quality-Oriented Wireless Video Delivery”, Institute of Electrical and Electronics Engineers ,Transactions on Broadcasting, 62(1): 55-68, (2016).
  • 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).
  • 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).
  • 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).
  • Avallone, S. Banchs, A., "A channel assignment and routing algorithm for energy harvesting multi-radio wireless mesh networks", Institute of Electrical and Electronics Engineers J. Sel. Areas Commun., 34(5): 1463-1476, (2016).
  • Capone, A., Malandra, F. and Sansò, B., “Energy Savings in Wireless Mesh Networks in a TimeVariable Context”, Mobile Networks and Applications, 17(2): 298-311, (2012).
  • 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).
  • Li-yong Yuan, Fei-long lin and Jun-ke Lv, “An improved asynchronous energy-saving mechanism for Institute of Electrical and Electronics Engineers ,802.15.5-based networks”, International Journal of Distributed Sensor Networks, 14(9):1-15, (2018).
  • 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).
  • Dener, M., "A New Energy Efficient Hierarchical Routing Protocol for Wireless Sensor Networks", Wireless Personal Communications, Springer, 101(1): 269–286, (2018).
  • Dener, M., Bay, Ö.F., "Medium Access Control Protocols for Wireless Sensor Networks: Literature Survey”, G.U. Journal of Science, 25 (2): 455-564, (2012).
  • Cui, S., Goldsmith, A. and Bahai, A., “Energy-constrained Modulation Optimization”, Institute of Electrical and Electronics Engineers Transactions on Wireless Communications, 4(5): 2349- 2360, (2005).
  • Hochbaum, D.S., “Complexity and algorithms for nonlinear optimization problems”, Annals of Operations Research, 153(1): 257-296, (2007).
  • Dener, M., Akcayol, M.A., Toklu, S., Bay, Ö.F., "Genetic Algorithm Based a New Algorithm for Time Dynamic Shortest Path Problem", Journal of the Faculty of Engineering and Architecture of G.U, 26(4): 915-928, (2011).
  • John, H. Reif, “Depth-first search is inherently sequential”, Information Processing Letters, 20(5): 229-234, (1985).