Modified Harmony Search Algorithm for Energy Optimization in WSN

T. Shankar(1*), S. Shanmugavel(2), A. Karthikeyan(3)

(1) Assistant Professor (Sr.), School of Electronics Engineering, VIT University, Vellore., India
(2) Professor, Department of ECE, College of Engineering, Guindy, Anna University, Chennai., India
(3) Assistant Professor (Sr.), School of Electronics Engineering, VIT University, Vellore., India
(*) Corresponding author


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


In wireless sensor network (WSN) the sensors are spread in a particular area for monitoring the certain events like environmental monitoring, medical monitoring, surveillance, security applications and many others. But the main concern is related to the lifetime of network that depends on the battery or energy unit of sensor nodes. Many algorithms are being developed to overcome this problem. One of fundamental and efficient method is clustering among those. The work reported herein investigates energy efficient algorithms for WSN. This paper proposed modified Harmony Search Algorithm (HAS) for cluster head selection in WSN, which is seen to provide better performance than direct transmission, fundamental clustering protocol Low Energy Adaptive Clustering Hierarchy (LEACH), and Harmony Search Algorithm (HSA). The performance metrics like network lifetime, throughput and total energy consumption have been analysed and compared for the above mentioned algorithms.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Cluster Head (CH); Base Station (BS); Low Energy Adaptive Clustering Hierarchy (LEACH); Harmony Search Algorithm (HSA); Heuristic Algorithms

Full Text:

PDF


References


Jamal N. Al-Karaki, Hashemite University and Ahmed E. Kamal, Routing Techniques in Wireless Sensor Networks: A Survey, IEEE Wireless Communication, Dec. 2004.

Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan, Energy-efficient communication protocols for wireless micro-sensor networks, in Proceedings of the Hawaii International Conference on Systems Sciences, Jan. 2000.

C. Li, M. Ye, G. Chen, J. Wu, An energy-efficient unequal clustering mechanism for wireless sensor networks, in Proceedings of the 2nd IEEE International Conference on Mobile Ad-hoc and Sensor Systems, 2005.

O. Younis, S. Fahmy, Heed: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks, IEEE Transactions on Mobile Computing, 3:4, 366–379, 2004.

M. Demirbas, A. Arora, V. Mittal, Floc: A fast local clustering service for wireless sensor networks, in: Orkshop on Dependability Issues in Wireless Ad Hoc Networks and Sensor Networks (DIWANS/DSN), 2004.

J. Kennedy, R.C. Eberhart, Particle swarm optimization, in the Proceedings of IEEE Int. Conf. Neural Networks, pp. 1942-1948, 1995.

Z.W. Geem, J.H. Kim, G.V. Loganathan, A new heuristic optimization algorithm: harmony search, Simulation Vol. 76 (2), pp. 60-68, 2001.

D.C. Hoang, Parikshit Yadav, R. Kumar, and S.K. Panda, A Robust Harmony Search Algorithm based Clustering Protocol for Wireless Sensor Networks, IEEE 2010.

X. S. Yang, Nature-inspired Metaheuristic Algorithms, Luniver Press, 2008.

K. S. Lee and Z. W. Geem, A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice, Computer Methods Appl. Mech. Engineering, 194:3902-3933, 2005.

Z. W. Geem, Optimal cost design of water distribution networks using harmony search, Engineering Optimization 38:259-280, 2006.

T.SHANKAR, Dr.S.SHANMUGAVEL Hybrid Approach for Energy Optimization in cluster based wireless sensor networks using Energy balancing clustering protocol, Journal of Theoretical and Applied Information Technology(JTAIT) “ 31st March 2013. Vol. 49 No.3 .pages 906-921.

A.Karthikeyan,ArifaAnwar, Rasiya Anwar,T.Shankar,V.Srividhya, Selection of cluster Head Using Decentralized Clustering Algorithm for Energy Optimization in Wireless Sensor Networks Based on Social Insect Colonies, European Journal of Scientific Research Vol.99 April 2013, PP461-472

Shankar, T., Shanmugavel, S., Karthikeyan, A., Mohan Gupte, A., Sarkar, S., Load balancing and optimization of network lifetime by use of double cluster head clustering algorithm and its comparison with various extended leach versions, (2013) International Review on Computers and Software (IRECOS), 8 (3), pp. 795-803.

Azimiyan, F., Kheirkhah, E., Jalali, M., Classification of routing protocols in wireless sensor networks, (2012) International Review on Computers and Software (IRECOS), 7 (4), pp. 1614-1623.

Long, C., Li, Y., Li, Y., An energy-efficient transmission scheme for heterogeneous wireless sensor networks based on virtual header, (2012) International Review on Computers and Software (IRECOS), 7 (4), pp. 1906-1910.

Pu, H., Xu, L., An improved hierarchical data aggregation mechanism in wireless sensor network based on LEACH, (2012) International Review on Computers and Software (IRECOS), 7 (5), pp. 2220-2225.

Chen, Z., Li, S., Yue, W., Hu, L., Sun, W., Bacterial foraging optimization algorithm based routing strategy for wireless sensor networks, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 2826-2830.

Narendrakumar, A., Thygarajah, K., Cooperative fuzzy based high quality link routing in wireless sensor networks, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 2987-2992.

Yu, G., Wen, K., Feng, H., Throughput capacity of Hierarchical Wireless Sensor Networks, (2012) International Review on Computers and Software (IRECOS), 7 (1), pp. 234-240.

Sun, S., Zhang, Q., Chen, M., Xu, B., An evolutionary based routing protocol for clustered wireless sensor networks, (2012) International Review on Computers and Software (IRECOS), 7 (3), pp. 1380-1385.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2019 Praise Worthy Prize