Life time improvement with hybrid clustering in Mobile Sensor Networks
|Suma G1 , M Siddappa2|
1 Research Scholar, Sri Siddhartha Academy of Higher Education, Tumakuru, India.
2 Research Supervisor, Sri Siddhartha Academy of Higher Education, Tumakuru, India.
|Correspondence should be addressed to: email@example.com.|
Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-11 , Page no. 57-63, Nov-2017
Online published on Nov 30, 2017
Copyright © Suma G, M Siddappa . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
|View this paper at Google Scholar | DPI Digital Library|
|XML View||PDF Download|
IEEE Style Citation: Suma G, M Siddappa, “Life time improvement with hybrid clustering in Mobile Sensor Networks”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.11, pp.57-63, 2017.
MLA Style Citation: Suma G, M Siddappa "Life time improvement with hybrid clustering in Mobile Sensor Networks." International Journal of Computer Sciences and Engineering 5.11 (2017): 57-63.
APA Style Citation: Suma G, M Siddappa, (2017). Life time improvement with hybrid clustering in Mobile Sensor Networks. International Journal of Computer Sciences and Engineering, 5(11), 57-63.
|211||159 downloads||44 downloads|
|In mobile sensor networks (MSN) handling dynamically changing topology in clustered MSNs is an important challenge as it affects the cluster formation. If re cluster triggering is performed at predetermined time or rounds without considering nodes position and stability of original cluster structure, leads to unnecessary energy usage in a dynamic topology. Life time of MSN can be extended by efficient re cluster triggering techniques. In this work cluster head (CH) rotation and re cluster triggering carried out either locally or globally based on changing position of CH and backup-CH (BU-CH) or residual energy. CH, one BU-CH are identified in every cluster, CH hands over its role to BU-CH without altering cluster structure in case it moves out of cluster boundary. In the absence of both within core boundaries then either local or global re clustering triggered. Reclustering and CH rotation are triggered when CH or BU-CH nodes surpass their boundaries and not by predetermined time or rounds as in most works. This work is a hybrid, distributed, topology driven clustering technique with minimum overheads, reduced reclustering in turn prolongs network lifetime.|
|Key-Words / Index Term :|
|MSN, Re cluster triggering, Hybrid re clustering, Global and local reclustering, Energy efficient|
 Morteza M. Zanjireh and Hadi Larijani "A Survey on Centralised and Distributed Clustering Routing Algorithms for WSNs,"IEEE 81st Vehicular Technology Conference , Glasgow, pp.1-6,2015.
 A. Rana, M. Bala, Varsha, "Performance Analysis of Energy Efficient Clustering Protocol in WSN", International Journal of Computer Sciences and Engineering, Vol.5, Issue.3, pp.1-5, 2017.
 Davood Izadi, Jemal Abawajy, and Sara Ghanavati,"An Alternative Clustering Scheme in WSN", IEEE Sensors Journal, Vol: 15, Issue: 7, pp.4148 - 4155, 2015.
Gamwarige, Sankalpa; Kulasekere, Chulantha," An energy efficient distributed clustering algorithm for ad hoc deployed wireless sensor networks in building monitoring applications", Electronic Journal of Structural Engineering.Vol 9,pp 11-27, 2009.
 Manju Bhardwaj, "Faulty Link Detection in Cluster based Energy Efficient Wireless Sensor Networks", International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.3, pp.1-8, 2017.
Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan, "Energy-Efficient Communication Protocol for Wireless Microsensor Networks", In Proceedings of the 33rd International Conference on System Sciences, Hawaii, Volume 8, pp. 8020,2000.
 Manju Bhardwaj, "Faulty Link Detection in Cluster based Energy Efficient Wireless Sensor Networks", International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.3, pp.1-8, 2017..
 H. J.De Silva; S. Gamwarige; E. C. Kulasekere,"Energy expenditure of global reclustering and local delegation in Wireless Sensor Networks", Seventh International Conference on Wireless And Optical Communications Networks , Sri Lanka, 6-8 Sept. 2010.
Peyman Neamatollahi; Hoda Taheri; Mahmoud Naghibzadeh; Saeid Abrishami, "A distributed clustering scheme for wireless sensor networks",6th Conference on Information and Knowledge Technology , Iran ,pp.20-24,2014.
 B. Ramesh, K. Nandhini ," Clustering Algorithms – A Literature Review", International Journal of Computer Sciences and Engineering, Vol-5, Issue-10, PP.302-306,2017.
[11 ] Mona Nasseri ; Junghwan Kim ; Robert Green ; Mansoor Alam,"Identification of the Optimum Relocalization Time in the Mobile Wireless Sensor Network Using Time-Bounded Relocalization Methodology", IEEE Transactions on Vehicular Technology ,pp.344-357 ,2017.
 Yihui Li ; Gaoxi Xiao ; Gurpreet Singh ;Rashmi Gupta, "Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks", Wireless Networks (10220038), Vol 19, Issue 7,pp.1755–1768, 2013.
 Walaa Abdellatief ;Osama Youness ;Hatem Abdelkader ;Mohee Hadhoud" Global distributed clustering technique for randomly deployed wireless sensor networks",12th International Computer Engineering Conference ,Egypt ,pp.8-13,2016.
 B A Mohan ; H Sarojadevi, "A hybrid approach for data collection using multiple mobile nodes in WSN", IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology, India,pp.711-714, 2016.
 Ashanie Guanathillak, Kithsiri Samarasinghe" Energy Efficient Clustering Algorithm with Global & Local Re-clustering for Wireless Sensor Networks," International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering ,vol.7,no.7,pp.816-823, 2013.