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Clustering Protocols in Wireless Sensor Networks: A Survey

Sanjeev Kumar Gupta, Neeraj Jain, Poonam Sinha Published in Wireless

International Journal of Applied Information Systems
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ijais12-450850
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  1. Sanjeev Kumar Gupta, Neeraj Jain and Poonam Sinha. Article: Clustering Protocols in Wireless Sensor Networks: A Survey. International Journal of Applied Information Systems 5(2):41-50, January 2013. BibTeX

    @article{key:article,
    	author = "Sanjeev Kumar Gupta and Neeraj Jain and Poonam Sinha",
    	title = "Article: Clustering Protocols in Wireless Sensor Networks: A Survey",
    	journal = "International Journal of Applied Information Systems",
    	year = 2013,
    	volume = 5,
    	number = 2,
    	pages = "41-50",
    	month = "January",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

In recent years, the applications of Wireless Sensor Networks (WSNs) have grown enormously. In WSNs there is one mechanism used to enlarge the lifespan of network and provide more efficient functioning procedures that is clustering. Clustering is a process to subdivide the sensing field of sensor network into number of clusters. Each cluster selects a leader called cluster head. A cluster head may be elected by the sensor node in the cluster or pre assigned by the network designer. Optimized Clustering can save lot of energy in the network. In our paper we have surveyed various clustering protocols for wireless sensor networks and compared on various parameters like cluster count, cluster size, cluster density, message count, node deployment, heterogeneity of nodes, location awareness and cluster head selection process etc.

Reference

  1. W. Rabiner Heinzelman and H. Balakrishnan, 2000. Energy-Efficient communication Protocol for Wireless microsensor networks, IEEE, Proceeding of the 3rd Hawali International Conference on System Science.
  2. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, 2002. An application specific protocol architecture for wireless microsensor networks, IEEE Transactions on Wireless Communications.
  3. I. F. Akyildiz et al. 2002. Wireless sensor networks: a survey, Computer Network.
  4. Georgios Smaragdakis and Ibrahim Matta, 2004. SEP: A Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks.
  5. O. Younis, S. Fahmy, 2004. HEED: A Hybrid, Energy-Efficient, Distributed clustering approach for Ad Hoc sensor networks, IEEE Transactions on Mobile Computing.
  6. P. Ding, J. Holliday, 2005. A. Celik, Distributed energy efficient hierarchical clustering for wireless sensor networks, In: Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS'05).
  7. Xiaojiang Du and Fenging Lin, 2005. Designing Efficient Routing Protocol for Heterogeneous Sensor Network, IEEE, Performance, Computing and Communication conference.
  8. L. Qing, Q. Zhu, M. Wang, 2006. Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks, In ELSEVIER, Computer Communications.
  9. Changmin Duan, 2007. A Distributed Energy Balance Clustering Protocol for Heterogeneous Wireless Sensor Networks, IEEE WiCon,
  10. A. A. Abbasi and M. Younis, 2007. A survey on clustering algorithms for wireless sensor network, Computer Communication.
  11. Guihai Chen • Chengfa Li, 2007. An unequal cluster-based routing protocol in wireless sensor networks, Springer Science Business Media, LLC.
  12. R. S. Marin-Perianu and J. Scholten, 2007. Cluster-based service discovery for heterogeneous wireless sensor networks, International Journal of Parallel, Emergent and Distributed Systems.
  13. Vijay Kr. Chaurasiya and S. Rahul Kumar, 2008. Traffic Based Clustering in Wireless Sensor Network, IEEE WCSN.
  14. Jung-Hwan Kim and Chauhdary Sajjad Hussain, 2008. PRODUCE: A Probability-Driven Unequal Clustering Mechanism for Wireless Sensor Networks, IEEE, 22nd International Conference on Advanced Information Networking and Applications – Workshops, WAINA.
  15. Mehdi Saeidmanesh and Mojtaba Hajimohammadi, 2009. Energy and Distance Based Clustering: An Energy Efficient Clustering Method for Wireless Sensor Networks, World Academy of Science, Engineering and Technology.
  16. Farruh Ishmanov and Sung Won Kim,2009. Distributed Clustering Algorithm with Load Balancing in Wireless Sensor Network, IEEE World Congress on Computer Science and Information Engineening.
  17. Chong Wang and Jiakang Liu, 2009. An Improved LEACH Protocol for Application Specific Wireless Sensor Networks, IEEE: WiCOM 09 Proceedings of the 5th International Conference on Wireless Communication Networking and Mobile Computing.
  18. D. Kumar, 2009. Energy Efficient Heterogeneous Clustered Scheme for Wireless Sensor Networks, In Elsevier Computer Communications.
  19. B. Elbhiri and R. Saadane, 2009. Stochastic Distributed Energy-Efficent Clustering (SDEEC) for heterogeneous wireless sensor networks, ICGST International Journal on Computer Network and Internet Research.
  20. Elbhiri Brahim and Saadane Rachid,2009. Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for heterogeneous wireless sensor networks, Signal Processing and communications group UPC.
  21. Dilip Kumar and Trilok C. ,2010. Distributed Cluster Head Election (DCHE) Scheme for Improving Lifetime of Heterogeneous Sensor Networks, Tamkang Journal of Science and Engineering.
  22. Parul Saini, Ajay K Sharma, 2010. Energy Efficient Scheme for Clustering Protocol Prolonging the Lifetime of Heterogeneous Wireless Sensor Networks, International Journal of Computer Applications.
  23. Elbhiri B. and R. Saadane, 2010. Developed Distributed Energy-Efficient Clustering (DDEEC) for heterogeneous wireless sensor networks, In IEEE I/V Communications and Mobile Network (ISVC).
  24. Kyounghwa Lee and Hyeopgeon Lee, 2010. A Density and Distance based Cluster Head Selection Algorithm in Sensor Networks, IEEE, ICACT.
  25. Kyung Tae Kim and Han Ku Yoo, 2010. EECS: An Energy Efficient Cluster Scheme In Wireless Sensor Networks, IEEE International Conference on Computer and Information Technology.
  26. Babar Nazir and Halabi Hasbullah, 2010. Mobile Nodes based Clustering Protocol for Lifetime Optimization in Wireless Sensor Network, In: International Conference on Intelligent and Information Technology.
  27. Ben Alla Said and EZZATI Abdellah, 2010. Improved and Balanced LEACH for Heterogeneous Wireless Sensor Networks.
  28. Qingchao Zheng, 2010. An Energy Efficient Clustering Scheme with Self-Organized ID Assignment for Wireless Sensor Networks, Parallel and Distributed Systems (ICPADS), 2010 IEEE 16th International Conference.
  29. Mehrani, M. , 2010. FEED: Fault tolerant, energy efficient, distributed Clustering for WSN, IEEE, Advanced Communication Technology (ICACT).
  30. Jinchul Choi and Chaewoo Lee, 2011. Energy consumption and lifetime analysis in clustered multi-hop wireless sensor networks using the probabilistic cluster-head selection method, EURASIP Journal on Wireless Communications and Networking.
  31. Md. Golam Rashed and M. Hasnat Kabir, 2011. WEP: an Energy Efficient Protocol for Cluster Based Heterogeneous Wireless Sensor Networ, International Journal of Distributed and Parallel Systems (IJDPS).
  32. Ashok Kumar and Narottam Chand, 2011. Location Based Clustering in Wireless Sensor Network, World Academy of Science, Engineering and Technology.
  33. Siva Ranjani. S and Radha Krishnan. S, 2012. Energy-Efficient Cluster Based Data Aggregation for Wireless Sensor Networks, IEEE Recent Advances in Computing and Software Systems (RACSS).
  34. Sanjeev Kumar Gupta, Neeraj Jain and Poonam Sinha, 2012. A Density Control Energy Balanced Clustering Technique for Randomly Deployed Wireless Sensor Network, IEEE WOCN 2012 Conference.
  35. Sanjeev Kumar Gupta, Neeraj Jain and Poonam Sinha, 2012. Node Degree Based Clustering for WSN, International Journal of Computer Applications (IJCA).
  36. Yan Zhang, Laurence T. Yang & Jiming Chen, 2010, RFID and Sensor Networks, auerbach publication, International Standard Book Number:978-1-4200-7777-3

Keywords

Cluster count, cluster size, cluster density, lifetime