Energy Efficient Scheme for Cellular Network Using G-Leach
DOI:
https://doi.org/10.53555/nnas.v2i2.684Keywords:
G-LEACH, cellular network, node, genetic algorithm, lifetimeAbstract
This paper proposes an energy efficient scheme for cellular network using G-LEACH (Genetic Low Energy Adaptive Clustering Hierarchy). By using the genetic algorithm based upon adaptive clustering protocol the energy consumption of the every node can be reduced and then the lifetime of each node in the cellular network can be increased. The proposed algorithm is compared with LEACH (Low -Energy Adaptive Clustering Hierarchy). The G-LEACH is implemented by using three phase. They are preparation phase, set-up phase, and at last steady-state phase. The preparation phase is the initial phase of the algorithm, in this phase the cluster head extraction process is executed by within all the random cellular network nodes. All nodes send the condition and position within the cluster as a resubmit message to the base station of the cellular network. By using the resubmit message base station exploring the node as cluster head which has the most eminent energy for foster process. By using this phase the energy consumption of the node is reduced. In the set-up phase the base station disseminate the message to all the node and help the random node to form a cluster within the cellular network. At last the steady-state phase is executed merely once ahead the set-up phase in the process of cellular network. Simulation result shows the comparison between LEACH and G-LEACH and energy consumed by the each node in the cellular network.
References
Lin Xiang, Xiaohu Ge, Senior Member, IEEE, Cheng-Xiang Wang, Senior Member, IEEE, Frank Y. Li, Senior Member, IEEE, and Frank Reichert “Energy Efficiency Evaluation of Cellular Networks Based on Spatial Distributions of Traffic Load and Power Consumption”IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 12, NO. 3, MARCH 2013
Sajid Hussain, Abdul W. Matin and Obidul Islam “Genetic Algorithm for Energy Efficient Clusters in Wireless Sensor Networks”.Jenn-Long Liu and Chinya V. Ravishankar, Member, IEEE “LEACH-GA: Genetic Algorithm-Based Energy Efficient Adaptive Clustering Protocol for Wireless Sensor Networks” International Journal of Machine Learning and Computing, Vol.1, No. 1, April 2011]Konstantinos P. Ferentinos Konstantinos P. Ferentinos *, Theodore A. Tsiligiridis “Adaptive design optimization of wireless sensor networks using genetic algorithms” Computer Networks 51 (2007) 1031–1051
Congzheng Han, Tim Harrold, and Simon Armour “Green Radio: Radio Techniques to Enable Energy-Efficient Wireless Networks” 0163-6804/11/$25.00 © 2011 IEEE IEEE Communications Magazine • May 2011
M. Madheswaran1 and R. N. Shanmugasundaram2, “ ENHANCEMENTS OF LEACH ALGORITHM FOR WIRELESS NETWORKS: A REVIEW” ICTACT JOURNAL ON COMMUNICATION TECHNOLOGY, DECEMBER 2013, VOLUME: 04, ISSUE: 04
R.Nallusamy K.Duraiswamy D.Ayya Muthukumar and C.Sathiyakumar “Energy efficient dynamic shortest path routing in Wireless Ad hoc Sensor Networks using Genetic Algorithm” 978-1-4244-5137-1/10/$26.00 ©2010 IEEE
Vinay Kumar Singh, Vidushi Sharma” ELITIST GENETIC ALGORITHM BASED ENERGY EFFICIENT ROUTING SCHEME FOR WIRELESS SENSOR NETWORKS” International Journal Of Advanced Smart Sensor Network Systems (IJASSN ), Vol 2, No.2, April 2012
Suhail Owais, Petr Gajdos and Vaclav Snasel, “Usage of Genetic Algorithm for Lattice Drawing”
Sudakshina Dasgupta1, Paramartha Dutta2 “An Energy Efficient Genetic Approach for Clustering of Wireless Sensor Network International Journal of Information Engineering” IJIE Vol. 2, Iss. 2, Jun. 2012, PP. 54-58 www.academicpub.org/ijie © 2011-2012 World Academic Publishing
Ali Norouzi1, Faezeh Sadat Babamir2, Abdul Halim Zaim3” A New Clustering Protocol for Wireless Sensor Networks Using Genetic Algorithm Approach” Wireless Sensor Network, 2011, 3, 362-370
G. Hossein EkbataniFard*, Reza Monsefi, Mohammad-R. Akbarzadeh-T., Mohammad H. Yaghmaee “A Multi-objective Genetic Algorithm based Approach for Energy Efficient QoS-Routing in Two-tiered Wireless Sensor Networks” 2010 5th International Symposium on Wireless Pervasive Computing (ISWPC)
A. Zahmatkesh and M. H. Yaghmaee “A Genetic Algorithm-Based Approach for Energy-Efficient Clustering of Wireless Sensor Networks” International Journal of Information and Electronics Engineering, Vol. 2, No. 2, March 2012
Ataul Bari *, Shamsul Wazed, Arunita Jaekel, Subir Bandyopadhyay “A genetic algorithm based approach for energy efficient routing in two-tiered sensor networks” Ad Hoc Networks 7 (2009) 665–676
GholamHossein EkbataniFard Reza Monsefi “A Fast Multi-objective Genetic Algorithm based Approach for Energy Efficient QoS-Routing in Two-tiered Wireless Multimedia Sensor Networks” Modern Applied Science Vol. 4, No. 6; June 2010
Vinay Kumar Singh1, Vidushi Sharma” ELITIST GENETIC ALGORITHM BASED ENERGY EFFICIENT ROUTING SCHEME FOR WIRELESS SENSOR NETWORKS” International Journal Of Advanced Smart Sensor Network Systems (IJASSN ), Vol 2, No.2, April 2012
Rc Chakraborty “Fundamentals of genetic algorithm” www.myreaders,info/, June 01, 2010
Jenn-Long Liu and Chinya V. Ravishankar, Member, IEEE “LEACH-GA: Genetic Algorithm-Based Energy-Efficient Adaptive Clustering Protocol for Wireless Sensor Networks” International Journal of Machine Learning and Computing, Vol.1, No. 1, April 2011
Erick Cantú-Paz “A Survey of Parallel Genetic Algorithms” Department of Computer Science and Illinois Genetic Algorithms Laboratory
Enrique Alba, José M. Troya “A Survey of Parallel Distributed Genetic Algorithms” Dpto. de Lenguajes y CC.CC. Universidad de Málaga Campus de Teatinos (2.2.A.6) 29071-Málaga (ESPAÑA) eat@lcc.uma.es
Hanna Bogucka, Andrea Conti “Degrees of Freedom for Energy Savings in Practical Adaptive Wireless Systems” 0163-6804/11/$25.00 © 2011 IEEE IEEE Communications Magazine • June 2011
M. Majid Butt, Benjamin Schubert, Martin Kurras, Kai Börner, Thomas Haustein and Lars Thiele “On the Energy–Bandwidth Trade-off in Green Wireless Networks: System Level Results” 978-1-4673-2997-2/12/$31.00 ©2012 IEEE
Ning Wang, Kin Hon Ho, George Pavlou “AMPLE: An Adaptive Traffic Engineering System Based on Virtual Routing Topologies” IEEE Communications Magazine • March 2012
V.Pritika, Dr.G.K.D Prasanna Venkatesan, N Angayarkanni “A Base Station Switching Scheme for Green Cellular Networks” International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 5, May 2014
Seung Min Yu and Seong-Lyun Kim “Downlink Capacity and Base Station Density in Cellular Networks” June 30, 2013
Eunsung Oh and Bhaskar Krishnamachari, Xin Liu, Zhisheng Niu “Toward Dynamic Energy-Efficient Operation of Cellular Network Infrastructure” 0163-6804/11/$25.00 © 2011 IEEE IEEE Communications Magazine • June 2011
Yong Sheng Soh, Student Member, IEEE, Tony Q. S. Quek, Senior Member, IEEE, Marios Kountouris, Member, IEEE, and Hyundong Shin, Senior Member, IEEE “Energy Efficient Heterogeneous Cellular Networks” IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 31, NO. 5, MAY 2013
Guowang Miao, Student Member, IEEE, Nageen Himayat, Member, IEEE, and Geoffrey Ye Li, Fellow, IEEE “EnergyEfficient Link Adaptation in Frequency-Selective Channels” IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 58, NO. 2, FEBRUARY 2010
Jeffrey G. Andrews and Radha Krishna Ganti, Martin Haenggi, Nihar Jindal, Steven Weber “A Primer on Spatial Modeling and Analysis in Wireless Networks” 0163-6804/10/$25.00 © 2010 IEEE IEEE Communications Magazine • November 2010
Ali Norouzi, Faezeh Sadat Babami, Abdul Halim Zaim “ New Clustering Protocol for Wireless Sensor Networks Using Genetic Algorithm Approach” Wireless Sensor Network, 2011, 3, 362-370
M.Shankar, Dr.M.Sridar, Dr.M.Rajani “Performance Evaluation of LEACH Protocol in Wireless Network” International Journal of Scientific & Engineering Research, Volume 3, Issue 1, January-2012 1 ISSN 2229-5518
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