2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) 2016
DOI: 10.1109/iccsn.2016.7586668
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RSS based method for sensor localization with unknown transmit power and uncertainty in path loss exponent

Abstract: Abstract:The localization of a sensor in wireless sensor networks (WSNs) has now gained considerable attention. Since the transmit power and path loss exponent (PLE) are two critical parameters in the received signal strength (RSS) localization technique, many RSS-based location methods, considering the case that both the transmit power and PLE are unknown, have been proposed in the literature. However, these methods require a search process, and cannot give a closed-form solution to sensor localization. In th… Show more

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Cited by 10 publications
(3 citation statements)
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“…Due to the different communication environments, the characteristics of the channel also change where the value of the δ reflects the channel fading condition. δ varies according to time and space in the network [38], [39]. In Table 1 [36] the values of the δ for different communication environments has been presented.…”
Section: Simulation Results and Numerical Analysismentioning
confidence: 99%
“…Due to the different communication environments, the characteristics of the channel also change where the value of the δ reflects the channel fading condition. δ varies according to time and space in the network [38], [39]. In Table 1 [36] the values of the δ for different communication environments has been presented.…”
Section: Simulation Results and Numerical Analysismentioning
confidence: 99%
“…Immediate position identification is required to improve the efficiency of power supply. Various methods have been proposed to enable position estimation with high estimation accuracy [1]- [8]. However, the calculation time is long because a huge amount of calculation is performed in a complicated human body.…”
Section: Introductionmentioning
confidence: 99%
“…In order to enable more accurate localization, various methods for the capsule endoscope have been so far proposed [10]- [13], [19]- [22]. However, there are problems that take a huge amount of time to localize in order to perform complicated calculations according to the living body [14], [15].…”
Section: Introductionmentioning
confidence: 99%