Cluster Head Selection Optimization Based on Genetic Algorithm to Prolong Lifetime of Wireless Sensor Networks
Wireless sensor networks gain ample interest because of their wide range of applications. Efficient energy consumption of nodes is the prime design issue for these networks. Clustering approaches prolong the network lifetime with the load balanced network. To achieve load balancing clustering algori...
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| Vydáno v: | Procedia computer science Ročník 57; s. 1417 - 1423 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
2015
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| ISSN: | 1877-0509, 1877-0509 |
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| Abstract | Wireless sensor networks gain ample interest because of their wide range of applications. Efficient energy consumption of nodes is the prime design issue for these networks. Clustering approaches prolong the network lifetime with the load balanced network. To achieve load balancing clustering algorithm rotate the role of cluster head among the nodes so, cluster head selection process is pivotal for clustering algorithms. Work of this paper presents a genetic algorithm based cluster head selection for centralized clustering algorithms to have a better load balanced network than the traditional clustering algorithm. Simulation shows that the proposed solution finds the optimal cluster heads and has prolonged network lifetime than the traditional clustering algorithms. |
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| AbstractList | Wireless sensor networks gain ample interest because of their wide range of applications. Efficient energy consumption of nodes is the prime design issue for these networks. Clustering approaches prolong the network lifetime with the load balanced network. To achieve load balancing clustering algorithm rotate the role of cluster head among the nodes so, cluster head selection process is pivotal for clustering algorithms. Work of this paper presents a genetic algorithm based cluster head selection for centralized clustering algorithms to have a better load balanced network than the traditional clustering algorithm. Simulation shows that the proposed solution finds the optimal cluster heads and has prolonged network lifetime than the traditional clustering algorithms. |
| Author | Pal, Vipin Singh, Girdhari Yogita Yadav, R.P. |
| Author_xml | – sequence: 1 givenname: Vipin surname: Pal fullname: Pal, Vipin email: vipinrwr@yahoo.com organization: Vivekananda Global University, Jaipur - 302012, India – sequence: 2 surname: Yogita fullname: Yogita organization: UIET, Panjab University, Chandigarh - 160014, India – sequence: 3 givenname: Girdhari surname: Singh fullname: Singh, Girdhari organization: Malaviya National Institute of Technology, Jaipur - 302017, India – sequence: 4 givenname: R.P. surname: Yadav fullname: Yadav, R.P. organization: Malaviya National Institute of Technology, Jaipur - 302017, India |
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| Cites_doi | 10.1016/j.protcy.2012.05.024 10.1016/j.adhoc.2008.06.003 10.1504/IJSNET.2012.047707 10.1016/j.comnet.2004.06.007 10.1016/j.jnca.2012.12.001 10.1145/570738.570751 10.2478/v10048-008-0017-8 10.1109/TWC.2002.804190 10.1109/COMST.2006.283821 10.1002/9780470172261 10.1109/HICSS.2000.926982 10.1109/ICACCI.2013.6637365 10.1016/j.jcss.2010.01.007 10.1016/S1389-1286(01)00302-4 10.1016/j.comcom.2007.05.024 10.1007/978-1-4757-0450-1 10.1109/ICEC.1994.349951 |
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| Keywords | genetic algorithm Wireless sensor networks Energy Efficiency clustering Algorithms |
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| References_xml | – reference: . Ph.D. thesis; 2000. AAI0801929. – reference: Akyildiz, I., Su, W., Sankarasubramaniam, Y., Cayirci, E. Wireless sensor networks: a survey. – reference: 2002;38(4):393-422. – reference: . John Wiley & Sons; 2007. ISBN 0470519231. – reference: 2004;46(5):605-634. – reference: Murata, T., Ishibuchi, H. Performance evaluation of genetic algorithms for flowshop scheduling problems. In: – reference: Tavares, J., Velez, F.J., Ferro, J. Application of wireless sensor networks to automobiles. – reference: 2008;8(3):65-70. – reference: Karl, H., Willig, A. – reference: Bajaber, F., Awan, I. Adaptive decentralized re-clustering protocol for wireless sensor networks. – reference: Arora, A., Dutta, P., Bapat, S., Kulathumani, V., Zhang, H., Naik, V., et al. A line in the sand: a wireless sensor network for target detection, classification, and tracking. – reference: Heinzelman, W.B. – reference: 2007; 30(14-15):2826-2841. – reference: Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H. Energy-efficient communication protocol for wireless microsensor networks. In: – reference: Pal, V., Singh, G., Yadav, R.P. Network adaptive round-time clustering algorithm for wireless sensor networks. In: – reference: ; WSNA “02. New York, NY, USA: ACM. ISBN 1-58113-589-0; 2002, p. 88-97. – reference: 2013;36(2):623-645. – reference: . 2002, p. 368-372. – reference: 2012;12(1):16-24. – reference: Heinzelman, W., Chandrakasan, A., Balakrishnan, H. An application-specific protocol architecture for wireless microsensor networks. – reference: Raghuvanshi, A.S., Tiwari, S., Tripathi, R., Kishor, N. Optimal number of clusters in wireless sensor networks: a fcm approach. – reference: ; HICSS “00. Washington, DC, USA: IEEE Computer Society. ISBN 0-7695-0493-0; 2000, p. 10-20. – reference: Tyagi, S., Kumar, N. Review: A systematic review on clustering and routing techniques based upon leach protocol for wireless sensor networks. – reference: . Norwell, MA, USA: Kluwer Academic Publishers; 1981. ISBN 0306406713. – reference: . 2012, p. 163-170. – reference: Anastasi, G., Conti, M., Di Francesco, M., Passarella, A. Energy conservation in wireless sensor networks: A survey. – reference: . Pearson Education; 2006. – reference: 1994, p. 812-817 vol.2. – reference: Rajagopalan, R., Varshney, P.K. Data-aggregation techniques in sensor networks: A survey. – reference: Haase, M., Timmermann, D. energy adaptive clustering hierarchy with deterministic cluster-head selection. In: – reference: 2002;1(4):660-670. – reference: Abbasi, A.A., Younis, M. A survey on clustering algorithms for wireless sensor networks. – reference: 2006; 8(1-4):48-63. – reference: Bezdek, J.C. – reference: Mainwaring, A., Culler, D., Polastre, J., Szewczyk, R., Anderson, J. Wireless sensor networks for habitat monitoring. In: – reference: V, G., Kallapur, P.V., Tellajeera, S. clustering in wireless sensor networks: performance comparison of leach & leach-c protocols using ns2. In: – reference: Goldberg, D.E. – reference: ; ICACCI “13. Mysore, India; 2013, p. 1299-1302. – reference: 2009; 7(3):537-568. – reference: 2011; 77(2):282-292. – reference: Gen, M., Cheng, R. Genetic Algorithms and Engineering Optimization (Engineering Design and Automation). Wiley-Interscience; 1999. – ident: 10.1016/j.procs.2015.07.461_bib0070 doi: 10.1016/j.protcy.2012.05.024 – ident: 10.1016/j.procs.2015.07.461_bib0010 doi: 10.1016/j.adhoc.2008.06.003 – ident: 10.1016/j.procs.2015.07.461_bib0080 doi: 10.1504/IJSNET.2012.047707 – ident: 10.1016/j.procs.2015.07.461_bib0105 – ident: 10.1016/j.procs.2015.07.461_bib0020 doi: 10.1016/j.comnet.2004.06.007 – ident: 10.1016/j.procs.2015.07.461_bib0035 doi: 10.1016/j.jnca.2012.12.001 – ident: 10.1016/j.procs.2015.07.461_bib0015 doi: 10.1145/570738.570751 – ident: 10.1016/j.procs.2015.07.461_bib0025 doi: 10.2478/v10048-008-0017-8 – ident: 10.1016/j.procs.2015.07.461_bib0060 doi: 10.1109/TWC.2002.804190 – ident: 10.1016/j.procs.2015.07.461_bib0040 doi: 10.1109/COMST.2006.283821 – ident: 10.1016/j.procs.2015.07.461_bib0045 – ident: 10.1016/j.procs.2015.07.461_bib0100 doi: 10.1002/9780470172261 – ident: 10.1016/j.procs.2015.07.461_bib0050 doi: 10.1109/HICSS.2000.926982 – ident: 10.1016/j.procs.2015.07.461_bib0055 doi: 10.1109/ICACCI.2013.6637365 – ident: 10.1016/j.procs.2015.07.461_bib0090 doi: 10.1016/j.jcss.2010.01.007 – ident: 10.1016/j.procs.2015.07.461_bib0095 – ident: 10.1016/j.procs.2015.07.461_bib0005 doi: 10.1016/S1389-1286(01)00302-4 – ident: 10.1016/j.procs.2015.07.461_bib0030 doi: 10.1016/j.comcom.2007.05.024 – ident: 10.1016/j.procs.2015.07.461_bib0075 – ident: 10.1016/j.procs.2015.07.461_bib0085 doi: 10.1007/978-1-4757-0450-1 – ident: 10.1016/j.procs.2015.07.461_bib0065 doi: 10.1109/ICEC.1994.349951 |
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| SubjectTerms | clustering Algorithms Energy Efficiency genetic algorithm Wireless sensor networks |
| Title | Cluster Head Selection Optimization Based on Genetic Algorithm to Prolong Lifetime of Wireless Sensor Networks |
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