Improved Energy Aware Cluster based Data Routing Scheme for WSN

Khalid Haseeb, Kamalrulnizam Abu Bakar, Abdul Hanan Abdullah, Tasneem Darwish, Fasee Ullah, Adnan Ahmed

Abstract


Wireless sensor network (WSN) consists of several tiny devices that are dispersed randomly for gathering network field. Clustering mechanism divides the WSN into different sub-regions called clusters. Individual cluster is consisting of cluster head (CH) and member nodes. The main research challenges behind clustering mechanism are to optimize network overheads with efficient data delivery. Sensor nodes are operated by batteries and practically it is not feasible to replace them during sensing the environment so energy should be effectively utilized among sensors for improving overall network performance. This research paper presents an improved energy aware cluster based data routing (i-ECBR) scheme, by dividing the network regions into uniform sized square partitions and localized CH election mechanism. In addition, consistent end-to-end data routing is performed for improving data dissemination. Simulation results illustrate that our proposed scheme outperforms than existing work in terms of different performance metrics.

Keywords


clustering, network lifetime, energy consumption, route discovery, clusters management

Full Text:

PDF

References


Potdar V, Sharif A, Chang E, editors. Wireless sensor networks: A survey. Advanced Information Networking and Applications Workshops, 2009 WAINA'09 International Conference on; 2009: IEEE.

Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey. Computer networks. 2008;52(12):2292-330.

Chen Z, Xiao Y, Li X, Li R. A Clustering Protocol for Wireless Sensor Networks Based on Energy Potential Field. The Scientific World Journal. 2013;2013.

Heinzelman WR, Chandrakasan A, Balakrishnan H, editors. Energy-efficient communication protocol for wireless microsensor networks. System Sciences, 2000 Proceedings of the 33rd Annual Hawaii International Conference on; 2000: IEEE.

Heinzelman WB, Chandrakasan AP, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks. Wireless Communications, IEEE Transactions on. 2002;1(4):660-70.

Sharma M, Sharma K, editors. An energy efficient extended LEACH (EEE LEACH). Communication Systems and Network Technologies (CSNT), 2012 International Conference on; 2012: IEEE.

Park GY, Kim H, Jeong HW, Youn HY, editors. A Novel Cluster Head Selection Method based on K-Means Algorithm for Energy Efficient Wireless Sensor Network. Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on; 2013: IEEE.

Younis O, Fahmy S. HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. Mobile Computing, IEEE Transactions on. 2004;3(4):366-79.

Yu-Quan Z, Lei W. A New Routing Protocol for Efficient and Secure Wireless Sensor Networks. TELKOMNIKA Indonesian Journal of Electrical Engineering. 2013;11(11):6794-801.

Ye M, Li C, Chen G, Wu J, editors. EECS: an energy efficient clustering scheme in wireless sensor networks. Performance, Computing, and Communications Conference, 2005 IPCCC 2005 24th IEEE International; 2005: IEEE.

Kim KT, Lyu CH, Moon SS, Youn HY, editors. Tree-based clustering (TBC) for energy efficient wireless sensor networks. Advanced Information Networking and Applications Workshops (WAINA), 2010 IEEE 24th International Conference on; 2010: IEEE.

Kang SH, Nguyen T. Distance based thresholds for cluster head selection in wireless sensor networks. Communications Letters, IEEE. 2012;16(9):1396-9.

Naruephiphat W, Charnsripinyo C. An Energy-aware Clustering Technique for Wireless Sensor Networks. ISBN: 978-953-307-297-5, Publisher: InTech. 2010.

Ali SA, Sevgi C, editors. Energy Load Balancing for Fixed Clustering in Wireless Sensor Networks. New Technologies, Mobility and Security (NTMS), 2012 5th International Conference on; 2012: IEEE.

Issariyakul T, Hossain E. An introduction to network simulator NS2: Springer; 2012.




DOI: http://dx.doi.org/10.12928/telkomnika.v14i2.3375

Article Metrics

Abstract view : 332 times
PDF - 335 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 Universitas Ahmad Dahlan

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus, 9th Floor, LPPI Room
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120 ext. 4902, Fax: +62 274 564604

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

View TELKOMNIKA Stats