Novel Strategy to Improve the Performance of Localization in WSN
Joint Authors
Vasim Babu, M.
Ramprasad, A. V.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-07
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
A novel strategy of discrete energy consumption model for WSN based on quasi Monte Carlo and crude Monte Carlo method is developed.
In our model the discrete hidden Markov process plays a major role in analyzing the node location in heterogeneous media.
In this energy consumption model we use both static and dynamic sensor nodes to monitor the optimized energy of all sensor nodes in which every sensor state can be considered as the dynamic Bayesian network.
By using this method the power is assigned in terms of dynamic manner to each sensor over discrete time steps to control the graphical structure of our network.
The simulation and experiment result shows that our proposed methods are better in terms of localization accuracy and possess minimum computational time over existing localization method.
American Psychological Association (APA)
Vasim Babu, M.& Ramprasad, A. V.. 2015. Novel Strategy to Improve the Performance of Localization in WSN. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078496
Modern Language Association (MLA)
Vasim Babu, M.& Ramprasad, A. V.. Novel Strategy to Improve the Performance of Localization in WSN. The Scientific World Journal No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1078496
American Medical Association (AMA)
Vasim Babu, M.& Ramprasad, A. V.. Novel Strategy to Improve the Performance of Localization in WSN. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078496
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078496