i-manager Publications

EE-APTSP: Evolution Node Life Time for WSN

Thamizhmaran K.*

Department of Electronics and Communication Engineering, Government College of Engineering, Bodinayakkanur, Theni, Tamil Nadu, India.

Periodicity:January - June'2020
DOI : https://doi.org/10.26634/jwcn.8.4.17823

Abstract

A Wireless Sensor Network (WSN) is an aggregation of sensor nodes which are remotely deployed in large numbers and operate the environmental condition and have limited energy resource. In most of the hierarchical routing protocols, the cluster head (CH) selection is on the basis of random probability equation. There is a scope to reduce the energy dissipation by improving CH selection procedure. This research paper proposed a multi hop hierarchical routing protocol called Energy Efficient - Adaptive Periodic Threshold Sensitive Protocol (EE-APTSP), and makes use of evolutionary algorithm for improving cluster head selection of routing protocol in the sensor networks. The concept of relay node is introduced, which acts as an intermediary between Cluster Head (CH) and Base Station (BS) to ease the communication between the CH and BS. The simulation results obtained supports that our proposed algorithm is efficient in terms of network lifetime. APTSP based theory that can be used to create faster, smaller, and more energetic and efficient sensitive threshold. Network Simulator (NS2) is used to implement and test the proposed system. The proposed periodic sensitive protocol provides more energy with secured transmission, further it reduces routing overhead, improves packet delivery ratio and throughput.

Keywords

WSN, Routing, EE-APTSP, Sensed Value, Current Value, NS2.

How to Cite this Article?

Thamizhmaran, K. (2020). EE-APTSP: Evolution Node Life Time for WSN. i-manager’s Journal on Wireless Communication Networks , 8(4), 27-35. https://doi.org/10.26634/jwcn.8.4.17823

References

[1]. Aslam, N., Phillips, W., Robertson, W., & Sivakumar, S. (2011). A multi-criterion optimization technique for energy efficient cluster formation in wireless sensor networks. Information Fusion, 12(3), 202-212. https://doi.org/10.1016 /j.inffus.2009.12.005

[2]. Bakr, B. A., & Lilien, L. (2011, June). Extending wireless sensor network lifetime in the LEACH-SM protocol by spare th selection. In 2011 5 International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (pp. 277-282). IEEE. https://doi.org/10.1109/ IMIS.2011.142

[3]. Han, Z., Wu, J., Zhang, J., Liu, L., & Tian, K. (2014). A general self-organized tree-based energy-balance routing protocol for wireless sensor network. IEEE Transactions on Nuclear Science, 61(2), 732-740. https:// doi.org/10.1109/TNS.2014.2309351

[4]. Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660-670. https://doi.org/10.1109/TWC.2002.804190

[5]. Karimi, M., Naji, H. R., & Golestani, S. (2012, May). Optimizing cluster-head selection in wireless sensor networks using genetic algorithm and harmony search th algorithm. In 20 Iranian Conference on Electrical Engineering (ICEE2012) (pp. 706-710). IEEE. https://doi.org/ 10.1109/IranianCEE.2012.6292445

[6]. Kumar, D., Aseri, T. C., & Patel, R. (2009). EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks. Computer Communications, 32(4), 662- 667. https://doi.org/10.1016/j.comcom.2008.11.025

[7]. Lindsey, S., & Raghavendra, C. S. (2002, March). PEGASIS: Power-efficient gathering in sensor information systems. In Proceedings of IEEE aerospace conference (Vol. 3, pp. 3) IEEE. https://doi.org/10.1109/AERO.2002. 1035242

[8]. Mahajan, L., & Sharma, N. (2014, February). Improving the stable period of WSN using dynamic Stable leach Election Protocol. In 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) (pp. 393-400). IEEE. https://doi.org/ 10.1109/ICICICT.2014.6781315

[9]. Manjeshwar, A., & Agrawal, D. P. (2001, April). TEEN: A routing protocol for enhanced efficiency in wireless sensor networks. In International Parallel and Distributed Processing Symposium (vol. 1, pp. 189-195).

[10]. Manjeshwar, A., & Agrawal, D. P. (2002, April). APTEEN: A hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks. In Parallel and Distributed Processing Symposium, International (Vol. 3, pp. 0195b). IEEE Computer Society.

[11]. Naregal, K., & Gudnavar, A. (2012, December). Improved cluster routing protocol for wireless sensor th network through simplification. In 2012 18 International Conference on Advanced Computing and Communications (ADCOM) (pp. 1-3). IEEE. https://doi.org/10.1109/ADCOM. 2012.6563576

[12]. Peiravi, A., Mashhadi, H. R., & Hamed Javadi, S. (2013). An optimal energy‐efficient clustering method in wireless sensor networks using multi‐objective genetic algorithm. International Journal of Communication Systems, 26(1), 114-126. https://doi.org/10.1002/dac.1336

[13]. Salim, A., Osamy, W., & Khedr, A. M. (2014). IBLEACH: intra-balanced LEACH protocol for wireless sensor networks. Wireless Networks, 20(6), 1515-1525. https:// doi.org/10.1007/s11276-014-0691-4

[14]. Saxena, T. K., Kanojia, K., & Pandey, A. (2019). Multigeographical threshold based routing protocol to enhance network lifetime for wireless sensor networks. International Journal of Advance Research and Innovative Ideas in Education, 5(6), 14-28.

EE-APTSP: Evolution Node Life Time for WSN

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content:

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25