Survey on Performance factors in Wireless Sensor Networks
Citation
Apurva Pathak, Manisha Bhende"Survey on Performance factors in Wireless Sensor Networks", International Journal of Engineering Trends and Technology (IJETT), V23(3),117-121 May 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
The Wireless Sensor Network has been an
active research area over past few years. The diversity in the
applications used in wireless sensor networks represents its great
success. There are different characteristics of the topologies used
in routing method. According to these characteristics the
parameters of the network are also get affected. The parameters
affected by the routing are performance of network, functional
lifetime of network, QoS of network. In this paper we have
considered different characteristics and the effect of these
characteristics on the existing system.
References
[1] D. Zhang, , G. Li, Ke Zheng, , X. Ming,,and Z.Hua Pan,” An Energy-
Balanced Routing Method Based on Forward-Aware Factor for Wireless
Sensor Networks”, IEEE transactions on industrial informatics, vol. 10,
no. 1, february 2014.
[2] I. K. Samaras and G. D. Hassapis, ?A modified DPWS protocol stack
for 6LoWPAN-based wireless sensor networks, IEEE Trans.Ind.
Inf.,vol. 9, no. 1, pp. 209–217, Feb. 20.
[3] J. Aweya, ?Technique for differential timing transfer over packet
networks,IEEE Trans. Ind. Inf., vol. 9, no. 1, pp. 325–336, Feb. 2013.
[4] D. G. Zhang and X. J. Kang, ?A novel image de-noising method based
on spherical coordinates system, EURASIP J. Adv. Signal Process.,
vol. 1, p. 110, 2012.
[5] P.Rewagad and H. Nemade, Automatic Cluster Formation and Address
Assignment forWireless Sensor Network, RESEARCH INVENTY:
International Journal of Engineering and Science ,ISBN: 2319-6483,
ISSN: 2278-4721, Vol. 1, Issue 11, December 2012.
[6] H. B. Zhang and H. Shen, ?Energy-efficient beaconless geographic
routing in wireless sensor networks, IEEE Trans. Parallel Distrib.
Syst., vol. 21, no. 6, pp. 881–896, Jun. 2010.
[7] F. V. C. Martins and E. G. Garrano, ?A hybrid multiobjective
evolutionary approach for improving the performance of wireless sensor
Networks IEEE Sensors J., vol. 11, no. 3, pp. 545–554, Mar. 2011.
[8] ] S. Vural and E. Ekici, ?On multihop distances in wireless sensor
networks with random node locations, IEEE Trans. Mobile Computing,
vol.9, no. 4, pp. 540–552, Apr. 2010.
[9] J. Jin et al., ?Handling inelastic traffic in wireless sensor networks,
IEEE Trans. Sel. Areas Commun., vol. 28, no. 7, pp. 1105–1115, Jul.
2010.
[10] Q. J. Chen, S. S. Kanhere, and M. Hassan, ?Analysis of per-node traffic
load in multi-hop wireless sensor networks, IEEE Trans. Wireless
Commun., vol. 8, no. 2, pp. 958–967, Apr. 2009.
[11] A. L. Barabási, ?Scale-free networks: A decade and beyond, Science,
vol.325, no. 5939, pp. 412–413, 2009
[12] Boyina Vinod, T. P. Rao, ? An efficient and High Performance Based
Cooperative Communication in ESN, International Journal of
Engineering Trends and Technology (IJETT) – Volume 15 Number 6 –
Sep 2014 .
[13] Y. Mishra,, A. Singhadia, R. Pandey, ?Energy Level Based Stable
Election Protocol in Wireless Sensor Network?, International Journal of
Engineering Trends and Technology (IJETT) – Volume 17 Number 1 –
Nov 2014
Keywords
Wireless sensor network; energy; performance;
lifetime.