76 research outputs found
A Fast-rate WLAN Measurement Tool for Improved Miss-rate in Indoor Navigation
Recently, location-based services (LBS) have steered attention to indoor
positioning systems (IPS). WLAN-based IPSs relying on received signal strength
(RSS) measurements such as fingerprinting are gaining popularity due to proven
high accuracy of their results. Typically, sets of RSS measurements at selected
locations from several WLAN access points (APs) are used to calibrate the
system. Retrieval of such measurements from WLAN cards are commonly at one-Hz
rate. Such measurement collection is needed for offline radio-map surveying
stage which aligns fingerprints to locations, and for online navigation stage,
when collected measurements are associated with the radio-map for user
navigation. As WLAN network is not originally designed for positioning, an RSS
measurement miss could have a high impact on the fingerprinting system.
Additionally, measurement fluctuations require laborious signal processing, and
surveying process can be very time consuming. This paper proposes a fast-rate
measurement collection method that addresses previously mentioned problems by
achieving a higher probability of RSS measurement collection during a given
one-second window. This translates to more data for statistical processing and
faster surveying. The fast-rate collection approach is analyzed against the
conventional measurement rate in a proposed testing methodology that mimics
real-life scenarios related to IPS surveying and online navigation
Recent Advances in Indoor Localization Systems and Technologies
Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this book present the recent advances and new developments in indoor localization systems and technologies, propose novel or improved methods with increased performance, provide insight into various aspects of quality control, and also introduce some unorthodox positioning methods
Robustness, Security and Privacy in Location-Based Services for Future IoT : A Survey
Internet of Things (IoT) connects sensing devices to the Internet for the purpose of exchanging information. Location information is one of the most crucial pieces of information required to achieve intelligent and context-aware IoT systems. Recently, positioning and localization functions have been realized in a large amount of IoT systems. However, security and privacy threats related to positioning in IoT have not been sufficiently addressed so far. In this paper, we survey solutions for improving the robustness, security, and privacy of location-based services in IoT systems. First, we provide an in-depth evaluation of the threats and solutions related to both global navigation satellite system (GNSS) and non-GNSS-based solutions. Second, we describe certain cryptographic solutions for security and privacy of positioning and location-based services in IoT. Finally, we discuss the state-of-the-art of policy regulations regarding security of positioning solutions and legal instruments to location data privacy in detail. This survey paper addresses a broad range of security and privacy aspects in IoT-based positioning and localization from both technical and legal points of view and aims to give insight and recommendations for future IoT systems providing more robust, secure, and privacy-preserving location-based services.Peer reviewe
A survey of localization in wireless sensor network
Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method. Then we investigate the node self-localization methods. Since the widespread adoption of the wireless sensor network, the localization methods are different in various applications. And there are several challenges in some special scenarios. In this paper, we present a comprehensive survey of these challenges: localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network. Finally, we introduce the evaluation criteria for localization in wireless sensor network
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