http://iet.metastore.ingenta.com
1887

access icon openaccess Multiple layers uneven clustering algorithm based on residual energy for wireless sensor networks

  • XML
    93.9873046875Kb
  • HTML
    109.955078125Kb
  • PDF
    1.394815444946289MB
Loading full text...

Full text loading...

/deliver/fulltext/joe/2018/16/JOE.2018.8332.html;jsessionid=1f1krcdg428xv.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fjoe.2018.8332&mimeType=html&fmt=ahah

References

    1. 1)
      • 1. Kulkarni, R.V., Forster, A., Venayagamoorthy, G.K.: ‘Computational intelligence in wireless sensor networks: a survey’, IEEE Commun. Surv. Tutorials, 2011, 13, (1), pp. 6896.
    2. 2)
      • 2. Misra, S., Kumar, R.: ‘A literature survey on various clustering approaches in wireless sensor network’. Int. Conf. Communication Control and Intelligent Systems IEEE, 2017, pp. 18–22.
    3. 3)
      • 3. Ennajari, H., Maissa, Y.B., Mouline, S.: ‘Energy efficient in-network aggregation algorithms in wireless sensor networks: a survey’. Advances in Ubiquitous Networking 2, Springer Singapore, 2017, vol. 397, pp. 135148.
    4. 4)
      • 4. Singh, K.: ‘WSN LEACH based protocols: a structural analysis’. Int. Conf. and Workshop on Computing and Communication, Vancouver, Canada, December 2015.
    5. 5)
      • 5. Kumar, S., Verma, S.K., Kumar, A.: ‘Enhanced threshold sensitive stable election protocol for heterogeneous wireless sensor network’, Wirel. Pers. Commun., 2015, 85, (4), pp. 26432656.
    6. 6)
      • 6. Pantazis, N.A., Nikolidakis, S.A., Vergados, D.D.: ‘Energy-efficient routing protocols in wireless sensor networks: a survey’, IEEE Commun. Surv. Tutorials, 2013, 15, (2), pp. 551591.
    7. 7)
      • 7. Su, S.B., Guo, H.F., Tian, H.M., et al: ‘A novel pattern clustering algorithm based on particle swarm optimization joint adaptive wavelet neural network model’, Mobile Netw. Appl., 2017, 22, (4), pp. 692701.
    8. 8)
      • 8. Xia, H., Zhang, R.H., Yu, J., et al: ‘Energy-efficient routing algorithm based on unequal clustering and connected graph in wireless sensor networks’, Int. J. Wirel. Inf. Netw., 2016, 23, (2), pp. 110.
    9. 9)
      • 9. Batra, P.K., Kant, K.: ‘LEACH-MAC: a new cluster head selection algorithm for wireless sensor networks’, Wirel. Netw., 2016, 22, (1), pp. 4960.
    10. 10)
      • 10. Bao, X., Xie, J., Nan, L., et al: ‘WRECS: An improved cluster heads selection algorithm for WSNs’, Journal of Software, 2014, 9, (2), pp. 507514.
    11. 11)
      • 11. Afsar, M., Tayarani-N, M.H., Aziz, M.: ‘An adaptive competition-based clustering approach for wireless sensor networks’, Telecommun. Syst., 2016, 61, (1), pp. 181204.
    12. 12)
      • 12. Baranidharan, B., Santhi, B.: ‘DUCF: distributed load balancing unequal clustering in wireless sensor networks using fuzzy approach’, Appl. Soft Comput., 2016, 40, pp. 495506.
    13. 13)
      • 13. Su, J.S., Guo, W.Z., Yu, C.L., et al: ‘Fault-tolerance clustering algorithm with load-balance aware in wireless sensor network’, Chin. J. Comput., 2014, 37, pp. 445456.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.8332
Loading

Related content

content/journals/10.1049/joe.2018.8332
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address