AN ANALYTICAL REVIEW ON WIRELESS SENSOR CLUSTERING FOR THE PROLONG NETWORK LIFE TIME

Article Sidebar

PDF
Published: Dec 20, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i9.5058
Keywords:
cluster heads (CH), distributed clustering protocol, periodic clustering, time division multiple Access (TDMA)

Main Article Content

Navdeep Kumar
Rajesh Kumar Singh

Abstract

Wireless sensor network is the group of small units called nodes which has gained a lot of light due to its variant applications in various sectors. The tiny mechanical devices referred as sensor nodes are deployed in the very rough area and they are left unattended to uninterruptedly report about the environment parameters .Nodes in rough areas rapidly diminish energy resources, which lead to disruption in network services. This is the main problem of data collection scenarios in which CH’s have a huge burden of collecting and relaying statistics. The relay load on heads particularly intensiï¬es as the sink distance decreases. For balancing the load of traffic and the energy consumption in WSN, the CH role must be switched among all the network nodes and the sizes of cluster must be carefully determined at every portion of the network. These devices have energy which is consumed during a long time at processing, gathering, aggregation and transmission of data. So, clustering approach is applied to reduce the consumption of data and give prolonged life to the network. This paper surveyed about the clustering mechanism, its protocols and various issues regarding it. The various parameters of the clustering in WSN are discussed.

Downloads

Download data is not yet available.

Article Details

Issue
Vol. 8 No. 9 (2017): NOVEMBER-DECEMBER 2017
Section
Articles

COPYRIGHT

Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
  • The journal allows the author(s) to retain publishing rights without restrictions.
  • The journal allows the author(s) to hold the copyright without restrictions.

References

Abbasi, A. A., &Younis, M, “A survey on clustering algorithms for wireless sensor networks,†Computer communications, vol. 30, no. 14, pp. 2826-2841,2007.

Younis, O., Krunz, M., &Ramasubramanian, S,

Node clustering in wireless sensor networks: Recent developments and deployment challenges,

IEEE network, vol. 20, no. 3,pp. 20-25,2006.

Xie, G., & Pan, F., “Cluster-based routing for the mobile sink in wireless sensor networks with obstacles,

IEEE Access, vol. 4, pp.2019-2028, 2016.

Taheri, H., Neamatollahi, P., Younis, O. M., Naghibzadeh, S., &Yaghmaee, M. H.,

“An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic,†Ad Hoc Networks, vol. 10. no.7, pp.1469-1481,2012.

Tarhani, M., Kavian, Y. S., &Siavoshi, S., “SEECH: Scalable energy efficient clustering hierarchy protocol in wireless sensor networks,†IEEE Sensors Journal, vol. 14, no.11, pp.3944-3954, 2014.

Zhang, R., Pan, J., Xie, D., & Wang, F., “Ndcmc: A hybrid data collection approach for large-scale wsns using mobile element and hierarchical clustering,†IEEE Internet of Things Journal, vol. 3, no. 4, pp.533-543, 2016.

Wei, D., Jin, Y., Vural, S., Moessner, K., &Tafazolli, R., “An energy-efficient clustering solution for wireless sensor networks,†IEEE transactions on wireless communications, vol. 10, no.11, pp. 3973-3983,2011.

Lee, J. S., & Kao, T. Y, “An improved three-layer low-energy adaptive clustering hierarchy for wireless sensor networks,†IEEE Internet of Things Journal, vol.3, no. 6, pp. 951-958,2016.

Lan, K. C., & Wei, M. Z, “A Compressibility-Based Clustering Algorithm for Hierarchical Compressive Data Gathering,†IEEE Sensors Journal, vol. 17, no. 8, pp. 2550-2562, 2017.

Chidean, M. I., Morgado, E., Sanromán-Junquera, M., Ramiro-Bargueno, J., Ramos, J., &Caamano, A. J, “Energy efficiency and quality of data reconstruction through data-coupled clustering for self-organized large-scale WSNs,†IEEE Sensors Journal, vol. 16, no. 12, pp. 5010-5020,2016.

Singh, S. K., Kumar, P., & Singh, J. P, “A Survey on Successors of LEACH Protocol,†IEEE Access, vol. 5, pp. 4298-4328,2017.

Khediri, S. E., Nasri, N., Wei, A., &Kachouri, A, “A new approach for clustering in wireless sensors networks based on LEACH,†Procedia Computer Science, vol. 32, pp.1180-1185, 2014.

Din, S., Ahmad, A., Paul, A., Rathore, M. M. U., & Jeon, G, “A Cluster-Based Data Fusion Technique to Analyze Big Data in Wireless Multi-Sensor System,†IEEE Access, vol. 5, pp. 5069-5083,2017.

Takaishi, D., Nishiyama, H., Kato, N., & Miura, R, “Toward energy efficient big data gathering in densely distributed sensor networks, “IEEE Transactions on Emerging Topics in Computing, vol. 2, no. 3, pp. 388-397,2014.

Hussain, S., Matin, A. W., & Islam, O.,

“Genetic algorithm for energy efficient clusters in wireless sensor networks, Information Technology, IEEE Fourth International Conference, pp. 147-154, 2007.

Karaboga, D., Okdem, S., &Ozturk, C.,

“Cluster based wireless sensor network routing using artificial bee colony algorithm,†Wireless Networks, vol. 18, no. 7, pp. 847-860,2012.

Kulkarni, R. V., &Venayagamoorthy, G. K, “Particle swarm optimization in wireless-sensor networks: A brief survey,†IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 41, no. 2, pp. 262-267, 2011.