Pu, Chuan Chin * and Lim, Soo Yong * and Ooi, Pei Cheng (2012) Measurement arrangement for the estimation of path loss exponent in wireless sensor network. In: International Conference on Computing and Convergence Technology (7th), 3-5 Dec 2012, Seoul, South Korea. (Submitted)
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Pu Chuan Chin - Measurement Arragnement for the Estimation of Path Loss exponent in Wireless Sensor Network.pdf - Submitted Version Download (518kB) | Preview |
Abstract
Path loss model is generally used to relate distance and signal strength in wireless applications. This has been widely implemented in ranging, localization, and location tracking systems. A range of extension models have been proposed to enhance the performance for various environments and applications. Nevertheless, path loss exponent remains its significance as the main factor in the model regardless of how the model is varied. Based on the nature as an exponent of the model, inaccurate path loss exponent amplifies the error if it is used to estimate distance from received signal strength. Therefore, measurement of accurate value for path loss exponent becomes very important as it directly influences the output of distance estimation. Researchers have been studying the methods of measuring accurate path loss exponent in various environments. Instead of emphasizing the calculation process, this paper focuses more on the allocation of transmitters and receivers, and the arrangement among them. From the results obtained from experiments, properly arranged transmitter and receiver nodes provides better estimation of the path loss exponent. Based on the results, this paper also proposes a suitable nodes arrangement scheme for path loss exponent estimation.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | 3rd author is affiliated with Dept. Electrical and Electronic Engineering, The University of Nottingham Malaysia Campus. |
Uncontrolled Keywords: | location estimation; path loss model; radio propagation; ranging; received signal strength. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Computing and Information Systems |
Depositing User: | Ms. Molly Chuah |
Date Deposited: | 28 Jun 2013 07:21 |
Last Modified: | 13 Mar 2019 02:10 |
URI: | http://eprints.sunway.edu.my/id/eprint/135 |
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