Enhancing Lifetime of Wireless Sensor Network with Cluster Technique

Enhancing Lifetime of Wireless Sensor Network with Cluster Technique

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-47 Number-1
Year of Publication : 2017
Authors : Ms. Sonal R. Kuche, Prof. R.H. Borhade
DOI :  10.14445/22315381/IJETT-V47P208

Citation 

Ms. Sonal R. Kuche, Prof. R.H. Borhade "Enhancing Lifetime of Wireless Sensor Network with Cluster Technique", International Journal of Engineering Trends and Technology (IJETT), V47(1),56-59 May 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Wireless Sensor Networks (WSNs) are made up of hundreds or thousands of sensor nodes which are distributed in a particular area to monitor environmental conditions like temperature, sound, pressure etc. and cooperatively pass their data to the base station. WSN is gradually developing technology. There are large scale applications in WSN like environmental monitoring, battlefield awareness, temperature sensing etc. therefore, there is need of increasing network lifetime in WSN as changing sensors frequently is not possible practically all the time. Assuming these drawbacks the proposed loadbalanced clustering algorithm for WSNs can overcome previous clustering algorithms. In the previous techniques, the clustering of nodes is not balanced and this can make the network energy unbalanced. On the basis of their distance and location, making it essentially different from the Proposed Location Based Clustering Algorithm (LBC) can perform better than exiting LEACH and Rescue Phase to form a cluster. In LBC algorithm the location of each and every present node in the network are calculated with respect to X, Y- coordinates. This can help to avoid random selection of nodes in clusters. It improves the balancing of the network and energy of network can be saved. Proposed Centre Point Detection Clustering Algorithm (CPDC) determines the center of the cluster and nearest node to that point with high energy selected as Cluster Head (CH).

 References

[1] V. Pal, G. Singh and R. P. Yadav, "Balanced Cluster Size Solution to Extend Lifetime of Wireless Sensor Networks," in IEEE Internet of Things Journal, vol. 2, no. 5, pp. 399-401, Oct. 2015.
[2] M. Eshaftri, A. Y. Al-Dubai, I. Romdhani and M. B. Yassien, "A new energy efficient Cluster Based Protocol for Wireless Sensor Networks," 2015 Federated Conference on Computer Science and Information Systems (FedCSIS), Lodz, 2015, pp. 1209-1214.
[3] Chunjuan Wei, Junjie Yang, Yanjie Gao and Zhimei Zhang, "Cluster-based routing protocols in wireless sensor networks: A survey," Proceedings of 2011 International Conference on Computer Science and Network Technology, Harbin, 2011, pp. 1659-1663.
[4] M. Patil and C. Sharma, "Energy efficient cluster head selection to enhance network connectivity for wireless sensor network," 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, 2016, pp. 175-179.
[5] A. Amwary, D. Maga and T. Nahdi, "Modified LEACH protocol for heterogeneous wireless networks," 2016 New Trends in Signal Processing (NTSP), Demanovska Dolina, 2016, pp. 1-4.
[6] S. Jannu and P. K. Jana, "Energy efficient algorithms to maximize lifetime of wireless sensor networks," 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, 2016, pp. 63-68.
[7] D. Jia, H. Zhu, S. Zou and P. Hu, "Dynamic Cluster Head Selection Method for Wireless Sensor Network," in IEEE Sensors Journal, vol. 16, no. 8, pp. 2746-2754, April15, 2016.
[8] N. Kumar and S. Kaur, "Performance evaluation of Distance based Angular Clustering Algorithm (DACA) using data aggregation for heterogeneous WSN," 2016 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC), Chennai, 2016, pp. 097-101.
[9] A. Patra and S. Chouhan, "Energy Efficient Hybrid multihop clustering algorithm in wireless sensor networks," 2013 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT), Yogyakarta, 2013, pp. 59-63.
[10] K. T. Kim, M. Y. Kim, J. H. Choi and H. Y. Youn, "An energy efficient and optimal randomized clustering for wireless sensor networks," 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), Takamatsu, 2015, pp. 1-6.

Keywords
Wireless sensor networks, energy efficiency, clustering, Cluster Heads, Network lifetime.