Novel Strategy to Improve the Performance of Localization in WSN
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 s...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/149767 |
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| _version_ | 1832546057216589824 |
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| author | M. Vasim Babu A. V. Ramprasad |
| author_facet | M. Vasim Babu A. V. Ramprasad |
| author_sort | M. Vasim Babu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4cef485ddb004c248fea8865b21699d2 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-4cef485ddb004c248fea8865b21699d22025-02-03T07:23:56ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/149767149767Novel Strategy to Improve the Performance of Localization in WSNM. Vasim Babu0A. V. Ramprasad1Department of Electronics and Communication Engineering, Latha Mathavan Engineering College, Madurai, Tamil Nadu 625301, IndiaDepartment of Electronics and Communication Engineering, K.L.N. College of Engineering, Sivagangai District, Pottapalayam, Tamil Nadu 630612, IndiaA 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.http://dx.doi.org/10.1155/2015/149767 |
| spellingShingle | M. Vasim Babu A. V. Ramprasad Novel Strategy to Improve the Performance of Localization in WSN The Scientific World Journal |
| title | Novel Strategy to Improve the Performance of Localization in WSN |
| title_full | Novel Strategy to Improve the Performance of Localization in WSN |
| title_fullStr | Novel Strategy to Improve the Performance of Localization in WSN |
| title_full_unstemmed | Novel Strategy to Improve the Performance of Localization in WSN |
| title_short | Novel Strategy to Improve the Performance of Localization in WSN |
| title_sort | novel strategy to improve the performance of localization in wsn |
| url | http://dx.doi.org/10.1155/2015/149767 |
| work_keys_str_mv | AT mvasimbabu novelstrategytoimprovetheperformanceoflocalizationinwsn AT avramprasad novelstrategytoimprovetheperformanceoflocalizationinwsn |