Characterizing the impact of multi-frequency and multi-power on localization accuracy

Zheng, Xiuyuan; Liu, Hongbo; Yang, Jie; Chen, Yingying; Francisco, John-Austen; Martin, Richard P.; Li, Xiaoyan

doi:10.1109/mass.2010.5663987

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…Changing wireless packet transmission power and measuring the RSS have recently been used in localizations [14], [15] and rogue vehicular AP detection [16], [17]. All these existing works rely on accurate RSS measurements to determine the distance between two communicating wireless nodes.…”

Section: Related Workmentioning

confidence: 99%

VProof: Lightweight Privacy-Preserving Vehicle Location Proofs

Zhang

Tan

Xu³

et al. 2015

IEEE Trans. Veh. Technol.

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Transportation systems relying on vehicles to collect data for services such as road condition monitoring are vulnerable to malicious vehicles injecting large amounts of fake data. A particularly serious type of attack is one in which attackers report fake information about numerous places without actually having been there. In this paper, we present VProof, which is a vehicle location proof scheme that enables a vehicle to prove that its location claims match its historical locations. With VProof, vehicles construct their location proofs by simply extracting relevant contents from the packets received from roadside units. Our scheme is lightweight, since there is no communication required for a prover to obtain a location proof. Our scheme also well preserves users' privacy, as we do not put any information that can be related to a user's ID in a location proof. We have implemented a prototype VProof system and evaluated it with extensive real-world experiments. Our evaluation results show that VProof is able to reliably prove vehicle's locations without leaking any user privacy.

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Section: Related Workmentioning

confidence: 99%

VProof: Lightweight Privacy-Preserving Vehicle Location Proofs

Zhang

Tan

Xu³

et al. 2015

IEEE Trans. Veh. Technol.

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“…The improvement of localization accuracy has been proposed in [27] through applying multiple frequencies and power transmissions. By using deviations of RSS readings and residuals, the algorithm forms high quality RSS fingerprints.…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Localization Accuracy for a Log-Normal Shadow Fading Wireless Sensor Network under Physical Barrier Attacks

Hussein

Rahman

Leow

2015

Sensors

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Localization is an apparent aspect of a wireless sensor network, which is the focus of much interesting research. One of the severe conditions that needs to be taken into consideration is localizing a mobile target through a dispersed sensor network in the presence of physical barrier attacks. These attacks confuse the localization process and cause location estimation errors. Range-based methods, like the received signal strength indication (RSSI), face the major influence of this kind of attack. This paper proposes a solution based on a combination of multi-frequency multi-power localization (C-MFMPL) and step function multi-frequency multi-power localization (SF-MFMPL), including the fingerprint matching technique and lateration, to provide a robust and accurate localization technique. In addition, this paper proposes a grid coloring algorithm to detect the signal hole map in the network, which refers to the attack-prone regions, in order to carry out corrective actions. The simulation results show the enhancement and robustness of RSS localization performance in the face of log normal shadow fading effects, besides the presence of physical barrier attacks, through detecting, filtering and eliminating the effect of these attacks.

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