A Cross-Layer based Energy Efficient Cluster Head Selection Model for Wireless SensorNetwork

International Journal of Mobile Computing and Application

© 2016 by SSRG - IJMCA Journal

Volume 3 Issue 3

Year of Publication : 2016

Authors : Ms.Madhu Patil and Dr.Chirag

10.14445/23939141/IJMCA-V3I5P103

How to Cite?

Ms.Madhu Patil and Dr.Chirag, "A Cross-Layer based Energy Efficient Cluster Head Selection Model for Wireless SensorNetwork," SSRG International Journal of Mobile Computing and Application, vol. 3,  no. 3, pp. 10-17, 2016. Crossref, https://doi.org/10.14445/23939141/IJMCA-V3I5P103

Abstract:

Due to rapid growth of the wireless based application services; demand for wireless sensor networks WSN has increased that use battery more efficiently. In WSN enhancing the life span of network depends on the energy dissipation of the sensor devices. Reducing the energy dissipation of sensor devices will improve the lifetime and device failure which help in better connectivity and coverage of sensor network. There has been various approach that has been developed to improve energy efficiency of sensor network among that clustering is a significant technique that help in improving the network lifetime by reducing the energy consumption but the issues with existing methodology is the energy inefficiency in selecting the cluster head which result in loss of connectivity thus reducing the life time of network. To overcome this, the author proposes a cross layer design for cluster head selection based on connectivity of node. The experimental result shows that the proposed CL_LEACH perform better than existing LEACH in term of network lifetime, node decay rate and network communication overhead.

Keywords:

Wireless network, TDMA, radio channel measurement, cross layer

References:

[1] Baiping Li, Xiaoqin Zhang2, "Research andImprovement of LEACH Protocol for Wireless Sensor Network", ICIE 2012.
[2] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci,“Wireless sensor networks: A survey,” Comput. Netw., vol. 38, no. 4, pp. 393–422, Mar. 2002.
[3] G. Anastasi, M. Conti, M. Di Francesco, and A. Passarella, “Energy conservation in wireless sensor networks: A survey,” Ad Hoc Netw., vol. 7, no. 3, pp. 537–568, May 2009.
[4] W. Dargie, “Dynamic power management in wireless sensor networks: State-of-the-art,” IEEE Sensors J., vol. 12, no. 5, pp. 1518–1528, May 2012.
[5] A. Nayak and I. Stojmenovic, Wireless Sensor and Actuator Networks: Algorithms and Protocols for Scalable Coordination and Data Communication. Hoboken, NJ, USA: Wiley, 2010.
[6] J. Yick, B. Mukherjee, and D. Ghosal, “Wireless sensor network survey,” Comput. Netw., vol. 52, no. 12, pp. 2292–2330, Aug. 2008.
[7] M. Saleem, G. A. Di Caro, and M. Farooq, “Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions,” Inf. Sci., vol. 181, no. 20, pp. 4597–4624, Oct. 2011.
[8] J.-S. Lee and W.-L. Cheng, “Fuzzy-logic-based clustering approach forwireless sensor networks using energy predication,” IEEE Sensors J., vol. 12, no. 9, pp. 2891–2897, Sep. 2012.
[9] O. Younis and S. Fahmy, “HEED: A hybrid, energy-efficient, distributedclustering approach for ad hoc sensor networks,” IEEE Trans. Mobile Comput., vol. 3, no. 4, pp. 366–379, Oct./Dec. 2004.
[10] N. A. Pantazis and D. D. Vergados, “A survey on power control issues in wireless sensor networks,” IEEE Commun. Surveys Tuts., vol. 9, no. 4, pp. 86–107, Nov. 2007.
[11] S.-S. Wang and Z.-P. Chen, “LCM: A link-aware clustering mechanism for energy-efficient routing in wireless sensor networks,” IEEE Sensors J., vol. 13, no. 2, pp. 728–736, Feb. 2013.
[12] W. B. Heinzelman et al.,“An application-specific protocol architecture forwireless microsensor networks,” IEEE Trans. Wirel. Commun., vol. 1, no. 4, pp. 660-670, Oct. 2002.
[13] X. Liu, “A survey on clustering routing protocols in wireless sensor networks,” Sensors, vol. 12, no. 12, pp. 11113-11153, Aug. 2012.
[14] F. Zhao, Y. Xu, and R. Li, “Improved leach routing communication protocol for a wireless sensor network,” Int. J. Distr. Sensor Netw., vol. 2012, Article ID 649609, 6 pages, 2012.
[15] M. Tripathi et al.,“Energy Efficient Clustered Routing for Wireless Sensor Network,” in Proc. IEEE MSN’13, pp. 330-335, 11-13 Dec. 2013.
[16] D. Mechta, S. Harous, I. Alem, and D. Khebbab, “LEACH-CKM: Low energy adaptive clustering hierarchy protocol with K-means and MTE,”in IIT’14, Al Ain, pp. 99-103, 9-11 Nov. 2014.
[17] S. Z. Selim and K. Alsultan, “A simulated annealing algorithm for the clustering problem,” Patt. Recog., vol. 24, no. 10, pp. 1003-1008, 1991.
[18] 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.
[19] I. Sohn, J. H. Lee and S. H. Lee, "Low-Energy Adaptive Clustering Hierarchy Using Affinity Propagation for Wireless Sensor Networks," in IEEE Communications Letters, vol. 20, no. 3, pp. 558-561, March 2016.
[20] D. C. Hoang, R. Kumar, and S. K. Panda, “Fuzzy c-means clustering protocol for wireless sensor networks”, in Proc. IEEE Int. Symp. Industrial Electronics (ISIE), Bari, Italy, Jul. 2010, pp. 3477-3482,
[21] Z. X. Deng and B. S. Qi, “Three-layered routing protocol for WSN based on LEACH algorithm,” in Proc. IET Conf. Wireless, Mobile & Sensor Networks, Shanghai, China, Dec. 2007, pp. 72-75.
[22] J. S. Lee; T. Y. Kao, "An Improved Three-Layer Low-Energy Adaptive Clustering Hierarchy for Wireless Sensor Networks," in IEEE Internet of Things Journal , vol.PP, no.99, pp.1-12.11, 1997.