Modeling and simulation of WSNs for agriculture applications using dynamic transmit power control algorithm
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| Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/22898 |
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| Institution: | Universiti Malaysia Perlis |
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my.unimap-228982013-01-07T06:25:32Z Modeling and simulation of WSNs for agriculture applications using dynamic transmit power control algorithm Latifah Munirah, Kamarudin R. Badlishah, Ahmad, Prof. Dr. Ndzi, David, Dr. Ammar, Zakaria Ong, Bi Lynn, Dr. Kamarulzaman, Kamarudin Azizi, Harun S. M., Mamduh latifahmunirah@unimap.edu.my badli@unimap.edu.my david.ndzi@port.ac.uk, ammarzakaria@unimap.edu.my drlynn@unimap.edu.my arul.unimap@gmail.com zz_harun@yahoo.com mamduh_shred87@yahoo.com CC2420 Power control Wireless sensor networks OMNeT++ Link to publisher's homepage at http://ieeexplore.ieee.org/ Simulation platforms have become important tools in the design and evaluating of protocols for Wireless Sensor Networks. Thus the use of realistic models in simulation is important for the development of protocols. However, most of the reported studies based on simulations tend to use simple or non-realistic parameters and assumptions. This paper proposes a transmit power control algorithm with a realistic radio energy model based on different propagation models to mimic different deployment scenarios. Results show that the implementation of transmit power control extends the network lifetime by 5.3% when free space path loss model is used. However, a greater efficiency of 8.7% is achieved when the network is assumed to be deployed in the presence of vegetation using Weissberger's vegetation attenuation model. 2013-01-07T06:25:32Z 2013-01-07T06:25:32Z 2012-02 Working Paper p. 616-621 978-076954668-1 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6169773 http://hdl.handle.net/123456789/22898 en Proceedings of the 3rd International Conference on Intelligent Systems Modelling and Simulation (ISMS 2012) Institute of Electrical and Electronics Engineers (IEEE) |
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Universiti Malaysia Perlis |
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Malaysia |
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Universiti Malaysia Perlis |
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| language |
English |
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CC2420 Power control Wireless sensor networks OMNeT++ |
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CC2420 Power control Wireless sensor networks OMNeT++ Latifah Munirah, Kamarudin R. Badlishah, Ahmad, Prof. Dr. Ndzi, David, Dr. Ammar, Zakaria Ong, Bi Lynn, Dr. Kamarulzaman, Kamarudin Azizi, Harun S. M., Mamduh Modeling and simulation of WSNs for agriculture applications using dynamic transmit power control algorithm |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| author2 |
latifahmunirah@unimap.edu.my |
| author_facet |
latifahmunirah@unimap.edu.my Latifah Munirah, Kamarudin R. Badlishah, Ahmad, Prof. Dr. Ndzi, David, Dr. Ammar, Zakaria Ong, Bi Lynn, Dr. Kamarulzaman, Kamarudin Azizi, Harun S. M., Mamduh |
| format |
Working Paper |
| author |
Latifah Munirah, Kamarudin R. Badlishah, Ahmad, Prof. Dr. Ndzi, David, Dr. Ammar, Zakaria Ong, Bi Lynn, Dr. Kamarulzaman, Kamarudin Azizi, Harun S. M., Mamduh |
| author_sort |
Latifah Munirah, Kamarudin |
| title |
Modeling and simulation of WSNs for agriculture applications using dynamic transmit power control algorithm |
| title_short |
Modeling and simulation of WSNs for agriculture applications using dynamic transmit power control algorithm |
| title_full |
Modeling and simulation of WSNs for agriculture applications using dynamic transmit power control algorithm |
| title_fullStr |
Modeling and simulation of WSNs for agriculture applications using dynamic transmit power control algorithm |
| title_full_unstemmed |
Modeling and simulation of WSNs for agriculture applications using dynamic transmit power control algorithm |
| title_sort |
modeling and simulation of wsns for agriculture applications using dynamic transmit power control algorithm |
| publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| publishDate |
2013 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/22898 |
| _version_ |
1643793830556729344 |