i-manager Publications

Fault Node Detection Algorithm With Unequal Cluster-Based Routing Protocol For Improving QoS In Wireless Sensor Networks

Tamba Karthik*, A Nagaraju**

* Student, Electronics and Communication Engineering, SreeVidyanikethan Engineering College, Tirupathi, India.

** Assistant Professor, Electronics and Communication Engineering, SreeVidyanikethan Engineering College, Tirupathi, India.

Periodicity:July - September'2014
DOI : https://doi.org/10.26634/jwcn.3.2.2876

Abstract

A network with sensor nodes has limited wireless computational power to process and transfer the live data to the base station or data collection center. Therefore, to increase the sensor area and the transmission area, the wireless sensor network usually contains many sensor nodes. In this paper a fault node recovery algorithm to improve the lifetime of a wireless sensor network when some of the sensor nodes shut down is proposed with unequal cluster-based Routing Protocol divides a network in clusters groups which gives good efficiency for fault node processing. The algorithm is based on the grade diffusion algorithm combined with the genetic algorithm .The algorithm can result in fewer replacements of sensor nodes and more reused routing paths. In our simulation, the proposed algorithm increases the number of active nodes, reduces the rate of data loss, and reduces the rate of energy consumption .The traditional approaches to sensor network routing include the directed diffusion (DD) algorithm and the grade diffusion (GD) algorithm. The algorithm proposed in this paper is based on the GD algorithm, with the goal of replacing fewer sensor nodes that are inoperative or have depleted batteries, and of reusing the maximum number of routing paths. These optimizations will ultimately enhance QOS parameters as well as the lifetime of sensor network.

Keywords

Genetic Algorithm (GA), Grade Diffusion (GD) Algorithm, Unequal Cluster-based Routing Protocol (UCRP)

How to Cite this Article?

Karthik, T., and Nagaraju, A . (2014). Fault Node Detection Algorithm With Unequal Clusterbased Routing Protocol For Improving Qos In Wireless Sensor Networks. i-manager’s Journal on Wireless Communication Networks, 3(2), 28-34. https://doi.org/10.26634/jwcn.3.2.2876

References

[1]. J.H. Ho, H.C. Shih, B.Y. Liao and J.S. Pan, (2013). “Fault Node Recovery Algorithm for wireless sensor networks,” Vol.13,No. 14.

[2]. C. Intanagonwiwat, R. Govindan, D. Estrin, J. Heidemann, and F. Silva, (2003). “Directed diffusion for wireless sensor networking,” IEEE/ACM Trans. Netw., Vol. 11, No. 1, pp. 2–16.

[3]. J. H. Ho, H. C. Shih, B. Y. Liao, and J. S. Pan (2012). “Grade diffusion algorithm. ” in Proc. 2nd Int. Conf. Eng. Technol. Innov., , pp. 2064–2068.

[4]. Z. He, B. S. Lee, and X. S. Wang, (2008). “Aggregation in sensor networks with a user-provided quality of service goal,” Inf. Sci., Vol. 178, No. 9, pp. 2128–2149.

[5]. J. H. Ho, H. C. Shih, B. Y. Liao, and S. C. Chu, (2012), “A ladder diffusion algorithm using ant colony optimization for wireless sensor networks,” Inf. Sci., Vol. 192, pp. 204–212.

[6]. T. H. Liu, S. C. Yi, and X. W. Wang, (2013), “A fault management protocol for low-energy and efficient wireless sensor networks,” J. Inf. Hiding Multimedia Signal Process., vol. 4, no. 1, pp. 34–45.

[7]. M. Gen and R. Cheng, (1997), Genetic Algorithms and Engineering Design. New York, NY, USA: Wiley.

[8]. Guihai Chen, Chengfa Li , Mao Ye , JieWu, (2009), “An unequal cluster-based routing protocol in wireless sensor networks", Wireless networks, Springer, DOI 10.1007/s11276-007-0035-8, pp 193-207.

[9]. The Network Simulator, ns-2 [Online]. Available: http://www.isi.edu/nsnam/ns

[10]. J. Yu, Yingying Qi, Guanghui Wang , (2012). “A cluster based routing protocol for WSN with non uniform node distribution”, in IJEC, AEU, ELSEVIR, pp 54-61.

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

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.