Titlebook: Wireless Algorithms, Systems, and Applications; 16th International C Zhe Liu,Fan Wu,Sajal K. Das Conference proceedings 2021 Springer Natur

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OD-PPS: An On-Demand Path Planning Scheme for Maximizing Data Completeness in Multi-modal UWSNs balance energy consumption. For some marine monitoring applications, not only the value of information (VoI) of the event but also the timeliness of the event needs to be considered in order to collect the sensed event data as comprehensively as possible to ensure the data completeness in the monit

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Improving WiFi Fingerprint Positioning Through Smartphone Built-In Sensors Based Trajectory Estimatithem, RSSI based fingerprinting using existing WiFi infrastructures has become an increasingly popular technique. However, WiFi fingerprinting still suffers from the vulnerable and changeable wireless signal transmissions. To address this issue, we propose a novel smartphone built-in sensors assiste

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Low-Cost Wi-Fi Fingerprinting Indoor Localization via Generative Deep Learningd scenarios. One of the pain points is time-consuming and effort-intensive fingerprint mapping. In this paper, we leverage a large number of low-cost fingerprints without location tags (unlabeled fingerprints) and only a small number of high-cost fingerprints with location tags (labeled fingerprints

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Winfrared: An Infrared-Like Rapid Passive Device-Free Tracking with Wi-Fi have many disadvantages, such as dead zone, high costs, and long delays. Combining the advantages of many methods, we propose an infrared-like rapid passive target tracking method with Wi-Fi. By analyzing and utilizing the feature of the Line of Sight and channel state information, we build a net t

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Fusing Directional and Omnidirectional Wi-Fi Antennas for Accurate Indoor Localizationion accuracy could be degraded due to signal fluctuations and noises of omnidirectional antennas. Some researches propose to leverage the signal distribution of different APs to enhance the localization accuracy. Nevertheless, they are either sensitive to signal errors or computationally costly..In

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Temporal Networks Based Industry Identification for Bitcoin Usersbehaviors of users within these industries helps to understand the Bitcoin ecosystem from a macro perspective. Currently, industry identification mainly faces two issues. First, the anonymity of Bitcoin makes it difficult to identify the industry identifiers of users who participate in activities th

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