Rethinking of the Uncertainty: A Fault-Tolerant Target-Tracking Strategy Based on Unreliable Sensing in Wireless Sensor Networks

Xie, Yi; Tang, Guoming; Wang, Daifei; Xiao, Weidong; Tang, Daquan; Tang, Jiuyang

doi:10.3837/tiis.2012.06.002

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…The recent literatures of the RSS-based localization can be largely classified into two trends: i) the RSS-based localization scheme with PLE knowledge of wireless environment, which means an exact PLE is given or the PLE is locally identical; ii) the RSS-based localization with PLE estimation, which considers a PLE calibration approach. Specifically, in the cases of the former, Yi et al [16] dealt with the PLE as a fixed parameter in WSNs because they assumed the physical environment is in stationary. Similarly, Nazar et al [17] used the least square method to obtain the PU location in CRNs, where they considered the identical PLE between the PU and all the SUs that detect the PU on the channel.…”

Section: Related Workmentioning

confidence: 99%

A Received Signal Strength-based Primary User Localization Scheme for Cognitive Radio Sensor Networks Using Underlay Model-based Spectrum Access

2014

KSII TIIS

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For cognitive radio sensor networks (CRSNs) that use underlay-based spectrum access, the location of the primary user (PU) plays an important role in the power control of the secondary users (SUs), because the SUs must keep the minimum interference level required by the PU. Received signal strength (RSS)-based localization schemes provide low-cost implementation and low complexity, thus it is suitable for the PU localization in CRSNs. However, the RSS-based localization schemes have a high localization error because they use an inexact path loss exponent (PLE). Thus, applying a RSS-based localization scheme into the PU localization would cause a high interference to the PU. In order to reduce the localization error and improve the channel reuse rate, we propose a RSS-based PU localization scheme that uses distance calibration for CRSNs using underlay model-based spectrum access. Through the simulation results, it is shown that the proposed scheme can provide less localization error as well as more spectrum utilization than the RSS-based PU localization using the mean and the maximum likelihood calibration.

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Section: Related Workmentioning

confidence: 99%

A Received Signal Strength-based Primary User Localization Scheme for Cognitive Radio Sensor Networks Using Underlay Model-based Spectrum Access

2014

KSII TIIS

View full text Add to dashboard Cite

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Rethinking of the Uncertainty: A Fault-Tolerant Target-Tracking Strategy Based on Unreliable Sensing in Wireless Sensor Networks

Abstract: version includes a concrete description of the strategy design and gives quantitative extension of conducting sampling vectors. Besides, the outdoor system evaluation is appended to further validate our tracking strategy.

Cited by 1 publication

References 21 publications

A Received Signal Strength-based Primary User Localization Scheme for Cognitive Radio Sensor Networks Using Underlay Model-based Spectrum Access

A Received Signal Strength-based Primary User Localization Scheme for Cognitive Radio Sensor Networks Using Underlay Model-based Spectrum Access

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