Browse > Article
http://dx.doi.org/10.9708/jksci.2014.19.11.091

A weight-based cluster head replacement algorithm in the Internet of Things  

Kim, Jeong-Won (Dept. of Computer Engineering, Silla University)
Abstract
Since the sensors of Internet of Things (IOT) collect various data, the lifetime of sensor network is very important and the data should be aggregated efficiently. The contiguous collection by the certain sensors occurs an excessive battery consumption and successive transmission of same value of data should be avoided. To solve these things, we propose an weight-based cluster head replacement method that divides whole network into several grids and cluster head is selected by remaining energy, density of alive sensors and location of sensor. The aim of algorithm maximizes the lifetime of network. Our simulation results shows that the proposed method is very simple as well as balances energy consumption.
Keywords
IOT; sensor network; head replacement;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks," IEEE Trans. on Wireless Communications, vol. 1, no. 4, pp. 660-670, 2002.   DOI   ScienceOn
2 J. Tang, "An energy efficient hierarchical clustering index tree for facilitating time-correlated region queries in the Internet of Things," Journal of Network and Computer Applications, pp. 1-11, Jul. 2013.
3 D. K. Cho, "Development and Implementation of Monitoring System for Management of Virtual Resource Based on Cloud Computing," Journal of The Korea Society of Computer and Information, pp. 41-47, vol. 18, no 2, Feb.2013.   과학기술학회마을   DOI   ScienceOn
4 D. W. Jeong, "A Standard Reference Model for Semantic Interoperability in Cloud Computing," Journal of The Korea Society of Computer and Information, pp. 71-80, vol. 17, no 8, Aug. 2012.   과학기술학회마을   DOI   ScienceOn
5 W. B. Heinzelman, "An application-specific protocol architecture for wireless micro sensor networks," [Ph.D. thesis], Massachusetts Institute of Technology, 2000.
6 X. Fan and Y. Song, "Improvement on LEACH protocol of wireless sensor network," in Proceedings of the International Conference on Sensor Technologies and Applications (SENSOR COMM'07), pp. 260-264, Valencia, Spain, Oct. 2007.
7 M. B. Yassein, A. Al-zou'bi, Y. Khamayseh, and W. Mardini, "Improvement on leach protocol of wireless sensor network (vleach)," International Journal of Digital Content Technology and Its Applications, vol. 3, no. 2, pp. 132-136, 2009.
8 A. Asaduzzaman and H. Y. Kong, "Energy efficient cooperative LEACH protocol for wireless sensor networks," Journal of Communications and Networks, vol. 12, no. 4, pp. 358-365, 2010.   DOI   ScienceOn
9 M. H. Abdulsalam and B. A. Ali, "W-LEACH Based Dynamic Adaptive Data Aggregation Algorithm for Wireless Sensor Networks," International Journal of Distributed Sensor Networks, pp. 1-11, Aug, 2013.
10 Tan HO, I. KorpeogluI, and I. Stojmenovic, "Computing localized power-efficient data aggregation trees for sensor networks," IEEE Transactions on Parallel and Distributed System, Vol. 22, No. 3, pp. 489-500, 2011.   DOI   ScienceOn
11 V. Bergli, "SmartRF CC2420: 2.4 GHz IEEE802.15.4/Zigbee RF Transceiver," http://focus.ti.com/docs/prod/folders/print/cc2420.html
12 The SensorScope Grand-St-Bernard Deployment, http://lcav.epfl.ch/cms/lang/en/pid/86035