Book Details


IT Skills Show & International Conference on Advancements in Computing Resources, (SSICACR-2017) 15 and 16 February 2017, Alagappa University, Karaikudi, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Download this PDF format


A Wireless sensor network is an infrastructure device capable of computation, communication and sensing. WSN consist a number of sensors. A base station links the one sensor network to another network to transmit the data and also each sensor contain several parameters. Several research efforts have been prepared based on the Genetic Algorithms for the development of the different data routing techniques for WSN. As a result, genetically encouraged research in Wireless Sensor Networks is a rapidly growing field. This survey paper begins by exploring why Genetics and WSN research are such a accepted match. We then present a broad overview of genetically inspired research in MANETs. We provide both an explanation of common GA models and construction and provided a broad ranging survey of GA techniques in wireless networks. We also indicate open research issues and define possible future work.


[1] Baolin Sun , Shangchao Pi (2008) , “Multiple constraints QoS multicast routing optimization algorithm in MANET based on GA” , Journal on Progress in Natural Science Elsevier 18 (2008) 331–336 .

[2] Bobby Vandalore, Raj Jain and Sonia Fahmy , “Adaptive QoS Framework for Multimedia in Wireless Networks and its Comparison with other QoS Frameworks” , Department of Computer and Information Science The Ohio State University, Columbus, OH, USA

[3]Jun Huang a, Yanbing Liu(2010) , A QoS-Aware Multicast Routing algorithm for MANET , Journal on Expert Systems with Applications Elsevier 37 (2010) 1391–1399

[4] Kaksha Thakare, R.D.Patane, Performance Improvement of QoS Routing In WSN System , International Journal of Scientific and Research Publications, Vol 5 .

[5] R.Sumathi and M.G.Srinivas , “A Survey of QoS Based Routing Protocols for Wireless Sensor Networks” ,

[6] Sonam Jain, Sandeep Sahu , “The Application of Genetic Algorithm in the design of Routing Protocols in MANETs: A Survey” , Sonam Jain et al, / (IJCSIT) International Journal ofComputer Science and Information Technologies, Vol. 3 (3) , 2012,4318 – 4321

[7] M. Aykut Yigitel , Ozlem Durmaz Incel, “QoS-aware MAC protocols for wireless sensor networks: A survey ” ,journal on Elsevier Computer Networks 55 (2011) 1982–2004

[8]Usama Mehboob, Junaid Qadir , “Genetic Algorithms in Wireless Networking: Techniques, Applications, and Issues” , journal on Elsevier computer networks

[9]T R Gopalakrishnan Nair, Kavitha Sooda , “A QoS based Routing Approach using Genetic Algorithms” , Journal on Progress in Natural Science Elsevier

[10]Yue Ma, Chengwen Zhang , “Quick convergence of genetic algorithm for QoS-driven web service selection” , journal on Elsevier Computer Networks 52 (2008) 1093–1104

[11] Sonam Jain, Sandeep Sahu , “The Application of Genetic Algorithm in the design of Routing Protocols in MANETs: A Survey” , International Journal of Computer Science and Information Technologies, Vol. 3 (3) , 2012,4318 – 4321

[12]J.Suresh Kumar, E.BabuRaj , “Genetic Algorithm based Multicast Routing in Wireless Sensor Networks” , International Journal of Engineering and Innovative Technology (IJEIT) Volume 2, Issue 6, 2012 .

[13] D. G. Reina,1 P. Ruiz,2 R. Ciobanu , “A Survey on the Application of Evolutionary Algorithms for Mobile Multihop Ad Hoc Network Optimization Problems” , International Journal of Distributed Sensor Networks Volume 2016 .

[14] Innocent Njini1 and Obeten O. Ekabua , “Genetic Algorithm Based Energy Efficient Optimization Strategies in Wireless Sensor Networks: A Survey” , ACSIJ Advances in Computer Science: an International Journal, Vol. 3, Issue 5, No.11,2014


WSN , MANETs , QoS .

  • Format Volume 5, Issue 1, No 15, 2017
  • Copyright All Rights Reserved ©2017
  • Year of Publication 2017
  • Author Dr .G.Santhi, D.Lalitha
  • Reference IJCS-230
  • Page No 1429-1438

Copyright 2022 SK Research Group of Companies. All Rights Reserved.