Efficient Localization in Wireless Sensor Networks by SFLA-BFO

Authors

  • B. Kavitha  Lecturer, Computer Engineering Department, IRT polytechnic college, Chennai, India

Keywords:

Localization, Anchor nodes, SFLA, BFO, Estimation Error.

Abstract

Proposed work is based on the automatic localization of sensor node in wireless sensor networks. Automatic detection of node location is a motive to make the system efficient so that they can understand the network environment by themselves and detect them. After analysis of previous work we noted that optimization algorithms are best for automatic localization of sensor nodes which performs well for unsupervised learning algorithms. A hybrid algorithm (SFLA-BFO) which is a combination of Shuffle leap frog algorithm (SFLA) and bacterial foraging optimization (BFO) algorithm were implemented. Simulation results show that the proposed method outperforms well with SFLA algorithm.

References

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International Journal of Scientific Research in Science and Technology

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Published

2015-10-30

Issue

Volume 1, Issue 4, September-October-2015

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
B. Kavitha "Efficient Localization in Wireless Sensor Networks by SFLA-BFO" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 1, Issue 4, pp.375-380, September-October-2015.