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14th IEEE International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Zhu, Mingyue Xu, Wenyan Guo, Ningyan Wei, Zhiqing Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing Peoples R China

ISBN: (纸本)9781665450850

Wireless sensor network (WSN) has been widely applied in the civil and military domains due to its wide coverage and remote monitoring capabilities. With high mobility and flexible deployment, unmanned aerial vehicles (UAVs) provide opportunities for efficient data collection and precise sensor localization of WSN. In this paper, we divide the WSN into regular hexagonal network cells (NCs) and apply a UAV for sensor localization and data collection. A sensor localization scheme based on received signal strength (RSS) is proposed. Further, Cramer-Rao lower bound (CRLB) of the sensor coordinates and the per-node capacity of WSN are derived. The simulation results show that there is a trade-off between the localization error of sensors and per-node capacity of WSN. This paper hopefully provides some guidelines and insights for joint sensor localization and data collection in UAV-assisted WSN.

关键词： Unmanned Aerial Vehicle (UAV) Wireless sensor Network (WSN) sensor localization Data Collection Received Signal Strength (RSS) Cramer-Rao lower bound (CRLB)

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Fusing Computer Vision and Wireless Signal for Accurate sensor localization in AR View 20

Fusing Computer Vision and Wireless Signal for Accurate Sens...

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20th ACM Conference on Embedded Networked sensor Systems (SenSys)

作者： Billah, Md Fazlay Rabbi Masum Saoda, Md Mofijul Islam Nurani Iqbal, Tariq Campbell, Bradford Univ Virginia Charlottesville VA 22903 USA

ISBN: (纸本)9781450398862

Recent years have seen increasing traction to enable new applications that can localize sensors on the screen of an Augmented Reality (AR) device (e.g. smartphone, tablet) so that sensors can be controlled more intuitively. Despite recent advances in this area, both wireless signal dependent and computer vision based localization solutions have seen a slow acceptance due to signal noise, multipath effect, and limited AR device-sensor interactivity. In this paper, we propose a novel solution to combine the complementary advantages of wireless signal based localization solution with the computer vision based solution to track IoT devices and sensors more accurately. Experimental result shows that our system can accurately track IoT devices with an average pixel error of 34 pixels in a 1024 x 768 pixels image, which is a 75.8% improvement from the state-of-the-art model.

关键词： sensor localization Augmented Reality BLE Computer Vision

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Fusing Computer Vision and Wireless Signal for Accurate sensor localization in AR View 22

Fusing Computer Vision and Wireless Signal for Accurate Sens...

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Proceedings of the 20th ACM Conference on Embedded Networked sensor Systems

作者： Md Fazlay Rabbi Masum Billah Md Mofijul Islam Nurani Saoda Tariq Iqbal Bradford Campbell University of Virginia

ISBN: (纸本)9781450398862

Recent years have seen increasing traction to enable new applications that can localize sensors on the screen of an Augmented Reality (AR) device (e.g. smartphone, tablet) so that sensors can be controlled more intuitively. Despite recent advances in this area, both wireless signal dependent and computer vision based localization solutions have seen a slow acceptance due to signal noise, multipath effect, and limited AR device-sensor interactivity. In this paper, we propose a novel solution to combine the complementary advantages of wireless signal based localization solution with the computer vision based solution to track IoT devices and sensors more accurately. Experimental result shows that our system can accurately track IoT devices with an average pixel error of 34 pixels in a 1024 × 768 pixels image, which is a 75.8% improvement from the state-of-the-art model.

关键词： sensor localization computer vision augmented reality BLE

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A Computationally Efficient Approach for Distributed sensor localization and Multitarget Tracking

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IEEE COMMUNICATIONS LETTERS 2020年第2期24卷 335-338页

作者： Da, Kai Li, Tiancheng Zhu, Yongfeng Fu, Qiang Natl Univ Def Technol Natl Key Lab Sci & Technol ATR Changsha 410073 Peoples R China Northwestern Polytech Univ Sch Automat Minist Educ Key Lab Informat Fus Technol Xian 710072 Peoples R China

In the context of distributed target tracking based on a mobile peer-to-peer sensor network, the relative locations between the sensors are critical for their internode information exchange and fusion. For accurate coordinate calibration between the neighboring sensors, namely sensor localization, we propose a computationally efficient approach that minimizes the mismatch error between position estimates of the common targets yielded at neighbor sensors. This mismatch error is given by a Wasserstein-like distance that is a mean square error between two sets of position estimates which are associated efficiently via Hungarian assignment. Simulations have demonstrated that our approach, on the testbed of an arithmetic average fusion based probability hypothesis density filter, performs similar to the cutting-edge approach based on loopy belief propagation, but computes much faster and has much lower communication cost.

关键词： Nickel Target tracking Surveillance Calibration Computational modeling Belief propagation Clutter Distributed fusion target tracking sensor registration sensor localization arithmetic average fusion

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On-scalp MEG sensor localization using magnetic dipole-like coils: A method for highly accurate co-registration

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NEUROIMAGE 2020年 212卷 116686-000页

作者： Pfeiffer, Christoph Ruffieux, Silvia Andersen, Lau M. Kalabukhov, Alexei Winkler, Dag Oostenveld, Robert Lundqvist, Daniel Schneiderman, Justin F. Chalmers Univ Technol Dept Microtechnol & Nanosci MC2 Gothenburg Sweden Karolinska Inst Dept Clin Neurosci NatMEG Stockholm Sweden Univ Gothenburg Sahlgrenska Acad MedTech West Gothenburg Sweden Univ Gothenburg Sahlgrenska Acad Inst Neurosci & Physiol Gothenburg Sweden Radboud Univ Nijmegen Donders Inst Brain Cognit & Behav Nijmegen Netherlands

Source modelling in magnetoencephalography (MEG) requires precise co-registration of the sensor array and the anatomical structure of the measured individual's head. In conventional MEG, the positions and orientations of the sensors relative to each other are fixed and known beforehand, requiring only localization of the head relative to the sensor array. Since the sensors in on-scalp MEG are positioned on the scalp, locations of the individual sensors depend on the subject's head shape and size. The positions and orientations of on-scalp sensors must therefore be measured a every recording. This can be achieved by inverting conventional head localization, localizing the sensors relative to the head - rather than the other way around. In this study we present a practical method for localizing sensors using magnetic dipole-like coils attached to the subject's head. We implement and evaluate the method in a set of on-scalp MEG recordings using a 7-channel on-scalp MEG system based on high critical temperature superconducting quantum interference devices (high-T-c SQUIDs). The method allows individually localizing the sensor positions, orientations, and responsivities with high accuracy using only a short averaging time (<= 2 mm, < 3 degrees and < 3%, respectively, with 1-s averaging), enabling continuous sensor localization. Calibrating and jointly localizing the sensor array can further improve the accuracy of position and orientation (< 1 mm and < 1 degrees, respectively, with 1-s coil recordings). We demonstrate source localization of on-scalp recorded somatosensory evoked activity based on coregistration with our method. Equivalent current dipole fits of the evoked responses corresponded well (within 4.2 mm) with those based on a commercial, whole-head MEG system.

关键词： Magnetoencephalography (MEG) On-scalp MEG Co-registration sensor localization Magnetic dipole Coil Head position indicator High-T-c SQUID

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sensor localization for Highly Deformed Partially Calibrated Arrays With Moving Targets

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IEEE SIGNAL PROCESSING LETTERS 2019年第2期26卷 372-376页

作者： Yang, Long Yang, Yixin Liao, Guisheng Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China Northwestern Polytech Univ Sch Marine Sci & Technol Xian 710072 Shaanxi Peoples R China

In this letter, a sensor localization technique for highly deformed partially calibrated arrays with multiple moving targets is proposed. The deformed array is divided into several subarrays. The first subarray is composed of the pre-calibrated sensors, whereas the sensors in the other subarrays are uncalibrated. The positions of the sensors are estimated from the phase differences between the pre-calibrated sensors and the uncalibrated sensors. The phase ambiguities caused by the highly deformed sensor positions can be solved using the subspace orthogonality and the movement of multiple targets. Simulation results evaluate the performance of the proposed method, and the Cramer-Rao bounds are compared.

关键词： sensor localization partially calibrated sensor array phase ambiguity highly-deformed sensor array

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Robust sensor localization against Known sensor Position Attacks

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2019年第12期18卷 2954-2967页

作者： Won, Jongho Bertino, Elise Purdue Univ Dept Comp Sci W Lafayette IN 47907 USA

Many localization techniques for wireless sensor networks have been proposed to estimate sensor positions even when there is malicious location information which distorts the estimate. Some of those solutions efficiently estimate sensor positions using the Minimum Mean Square Estimation methods and the Degree-Of-Consistency (DOC). Although such solutions can filter out most of malicious information, if an attacker knows the position of the target sensor, the attacker can significantly alter its estimated position. In this paper, we introduce two attacks based on the knowledge of target sensor positions. The first attack, called Aligned-Beacon-Position (ABP) attack, exploits beacon nodes that are aligned in a line. The second attack, called inside-attack, disables the DOC filtering algorithm by placing malicious location references inside benign location references. To protect against those two known sensor position attacks, we introduce two defense schemes. First, we propose a novel beacon placement strategy to protect against ABP attacks. Second, we present a filtering technique that can filter out malicious location references introduced by inside-attacks. Finally, we propose a localization algorithm which has enhanced accuracy and efficiency compared with previous algorithms. We assess the impact of those attacks and the performance of our defense schemes by simulation and test-bed experiments.

关键词： Robot sensing systems Global Positioning System Mobile computing Wireless sensor networks Estimation Receivers Security Secure localization sensor localization MMSE known sensor position attacks beacon deployment

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Wireless Local Area Network Signal Strength Measurement for sensor localization without New Anchors

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sensorS AND MATERIALS 2020年第1期32卷 97-114页

作者： Ishida, Shigemi Arakawa, Yutaka Tagashira, Shigeaki Fukuda, Akira Kyushu Univ Fac Informat Sci & Elect Engn Grad Sch Nishi Ku 744 Moto Oka Fukuoka Fukuoka 8190395 Japan Kansai Univ Fac Informat 2-1-1 Ryozenji Cho Takatsuki Osaka 5691095 Japan

In sensor networks, sensor localization is one of the mandatory functions for physical sensing. In this paper, we propose a sensor localization system that utilizes wireless local area network (WLAN) access points (APs) as anchor nodes. WLAN is widely available nowadays, and WLAN APs are used in many environments. Therefore, for our localization system, we utilize the WLAN APs already installed in the environment, thereby eliminating the installation of new anchors. We present an AP received signal strength (RSS) measurement method, which is the key technology of our sensor localization system. Notably, sensor nodes equipped with an IEEE 802.15.4 (ZigBee) module cannot detect WLAN AP signals. We therefore developed an AP signal detection method with AP identification by employing a cross-technology signal detection technique. Experimental evaluations demonstrate that our AP signal detection method successfully identified sender APs with a false positive (FP) detection rate less than 20%. The experiments also validated that the measured AP-RSS followed the same distribution as the RSS measured using a WLAN device.

关键词： wireless local area network (WLAN) anchors sensor localization cross-technology signal detection

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sensor localization System for AR-assisted Disaster Relief Applications (poster) 19

Sensor Localization System for AR-assisted Disaster Relief A...

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Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services

作者： Hong-Beom Choi Keun-Woo Lim Young-Bae Ko Ajou University Suwon Republic of Korea Telecom Paristech Paris France

ISBN: (纸本)9781450366618

In this poster, we propose a sensor localization system assisted by wireless communication and augmented reality (AR) suitable for disaster relief applications. Generally, disaster environments are considered extremely hazardous and deteriorated, with unpredictable effects to human mobility and digital devices. To maximize the safety and efficiency of first responders, deployment of wireless sensors are of utmost importance, as sensor nodes can provide sensing information as well as location information. We analyze the issues and challenges that need to be tackled for high accuracy localization of sensor nodes in such environments, and then propose a system that we plan to develop in the near future.

关键词： disaster relief visual odometry sensor localization

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On the optimal anchor placement in single-hop sensor localization

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WIRELESS NETWORKS 2018年第5期24卷 1609-1620页

作者： Miao, Qing Huang, Baoqi Inner Mongolia Univ Coll Comp Sci Hohhot 010021 Peoples R China

In wireless sensor networks, the problem of anchor (whose locations are a priori known) placement plays a vital role in improving the estimation accuracy of sensor (whose locations are unknown and need to be determined) locations. This paper deals with single-hop sensor localization from a novel perspective. On the one hand, unlike existing studies relying on ideal independent identically distributed (i.i.d.) noises in distance measurements, namely distance-independent noises, this paper defines a more realistic noise model in the sense that the noise variance is a function of sensor-to-anchor distances, namely distance-dependent noises. On the other hand, other than evaluating the localization performance for sensors at deterministic locations, a statistical approach is adopted by assuming a uniform and random distribution within a unit disk for the sensor location and evaluating the mean value of the associated Fisher information matrix determinant as the optimality metric for anchor placement. Through this metric, the optimal anchor placement is investigated from both theoretical and simulative perspectives. In the literature of optimal anchor placement with distance-independent noises, it has been addressed or conjectured to be true that it is optimal to have anchors equally spaced on the boundary. However, after a thorough analysis, it is shown that this conclusion is generally incorrect, but approaches to be true provided that the number of anchors goes to infinity. This study not only provides useful guidance for optimally deploying anchors in practice, but also yields valuable insights for future research on optimal anchor placement.

关键词： sensor localization Optimal anchor placement Single-hop Heteroscedastic noises Fisher information matrix (FIM)

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