Distributed Multi-target Tracking in a Wireless Sensor Network Using Diffusion Strategies and Adaptive Combiners - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Distributed Multi-target Tracking in a Wireless Sensor Network Using Diffusion Strategies and Adaptive Combiners write by Jaume Anguera-Peris. This book was released on 2016. Distributed Multi-target Tracking in a Wireless Sensor Network Using Diffusion Strategies and Adaptive Combiners available in PDF, EPUB and Kindle. Wireless sensor networks (WSN) have been attracting attention over the past years owing to their capability to observe the environment, process the data, and make decisions. These features have gained importance in the context of object detection and localization, surveillance, and environmental monitoring. Specifically, there is an ongoing trend of solving these problems in a distributed manner, i.e., without the use of a central node controlling all the data generated and exchanged over the network. This project presents an algorithm for tracking multiple objects in a distributed manner using a wireless sensor network. In addition to the objects' locations, the strength of the field that they generate is considered as an unknown parameter to be estimated. The proposed algorithm is based on a diffusion cooperation scheme, which has been shown to provide good performance in distributed implementations. Our algorithm is based on explicit, non-linear tracking, and as such is not restricted to a pre-specified quantization grid in space. We allow for imperfect communication links, where information packets can be lost, and rely on an efficient adaptive combination strategy to improve robust- ness to node and link failures. Performance is analyzed in terms of the mean-squared error (MSE) as a function of the signal-to-noise ratio (SNR), in situations with different number of objects moving across the field and different probability of packet loss.
Distributed Target Tracking and Synchronization in Wireless Sensor Networks
Distributed Target Tracking and Synchronization in Wireless Sensor Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Distributed Target Tracking and Synchronization in Wireless Sensor Networks write by Jichuan Li. This book was released on 2016. Distributed Target Tracking and Synchronization in Wireless Sensor Networks available in PDF, EPUB and Kindle. Wireless sensor networks provide useful information for various applications but pose challenges in scalable information processing and network maintenance. This dissertation focuses on statistical methods for distributed information fusion and sensor synchronization for target tracking in wireless sensor networks. We perform target tracking using particle filtering. For scalability, we extend centralized particle filtering to distributed particle filtering via distributed fusion of local estimates provided by individual sensors. We derive a distributed fusion rule from Bayes' theorem and implement it via average consensus. We approximate each local estimate as a Gaussian mixture and develop a sampling-based approach to the nonlinear fusion of Gaussian mixtures. By using the sampling-based approach in the fusion of Gaussian mixtures, we do not require each Gaussian mixture to have a uniform number of mixture components, and thus give each sensor the flexibility to adaptively learn a Gaussian mixture model with the optimal number of mixture components, based on its local information. Given such flexibility, we develop an adaptive method for Gaussian mixture fitting through a combination of hierarchical clustering and the expectation-maximization algorithm. Using numerical examples, we show that the proposed distributed particle filtering algorithm improves the accuracy and communication efficiency of distributed target tracking, and that the proposed adaptive Gaussian mixture learning method improves the accuracy and computational efficiency of distributed target tracking. We also consider the synchronization problem of a wireless sensor network. When sensors in a network are not synchronized, we model their relative clock offsets as unknown parameters in a state-space model that connects sensor observations to target state transition. We formulate the synchronization problem as a joint state and parameter estimation problem and solve it via the expectation-maximization algorithm to find the maximum likelihood solution for the unknown parameters, without knowledge of the target states. We also study the performance of the expectation-maximization algorithm under the Monte Carlo approximations used by particle filtering in target tracking. Numerical examples show that the proposed synchronization method converges to the ground truth, and that sensor synchronization significantly improves the accuracy of target tracking.
Target Tracking Algorithms for Distributed Sensor Networks
Target Tracking Algorithms for Distributed Sensor Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Target Tracking Algorithms for Distributed Sensor Networks write by Linda M. Mayer. This book was released on 2004. Target Tracking Algorithms for Distributed Sensor Networks available in PDF, EPUB and Kindle.
RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks
RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks write by Slavisa Tomic. This book was released on 2022-09-01. RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks available in PDF, EPUB and Kindle. The desire for precise knowledge about the location of a moving object at any time instant has motivated a great deal of scientific research recently. This is owing to a steady expansion of the range of enabling devices and technologies, as well as the need for seamless solutions for location-based services. Besides localization accuracy, a common requirement for emerging solutions is that they are cost-abstemious, both in terms of the financial and computational cost. Hence, development of localization strategies from already deployed technologies, e.g., from different terrestrial radio frequency sources is of great practical interest. Amongst other, these include localization strategies based on received signal strength (RSS), time of arrival, angle of arrival (AoA) or a combination of them. RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks presents recent advances in developing algorithms for target localization and tracking, reflecting the state-of-the-art algorithms and research achievements in target localization and tracking based on hybrid (RSS-AoA) measurements.Technical topics discussed in the book include:Centralized RSS-AoA-based Target LocalizationDistributed RSS-AoA-based Target LocalizationRSS-AoA-based Target Tracking via Maximum A Posteriori EstimatorRSS-AoA-based Target Tracking via Kalman FilterRSS-AoA-based via Sensor NavigationThis book is of interest for personnel in telecommunications and surveillance industries, military, smart systems, as well as academic staff and postgraduate/research students in telecommunications, signal processing, and non-smooth and convex optimization.
Energy Efficient Multi-target Tracking in Heterogeneous Wireless Sensor Networks
Energy Efficient Multi-target Tracking in Heterogeneous Wireless Sensor Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Energy Efficient Multi-target Tracking in Heterogeneous Wireless Sensor Networks write by Kaustubh Dhondge. This book was released on 2011. Energy Efficient Multi-target Tracking in Heterogeneous Wireless Sensor Networks available in PDF, EPUB and Kindle. Tracking multiple targets in an energy efficient way is an important challenge in wireless sensor networks (WSNs). While most of the prior work consider tracking multiple targets as execution of single target tracking algorithms multiple times and utilize only single parameters for efficient energy consumption, we identify multiple parameters that can influence the energy efficiency of sensors in the WSN. We observe that there are several impacting parameters that can affect the energy efficiency of the sensors in the WSN which are: the relative location of the sensor with respect to the target's motion, multiple targets tracked by the sensor, and the remaining energy in the sensor. These impacting parameters are used to decide the tracking state of the sensors and further, our observations reveal the implications of combining these parameters and we identify that the optimal energy consumption is governed by their usage in particular network conditions. Based on these observations we proceed to propose our Adaptive Multi-Target Tracking (AMTT) algorithm that can identify the local network conditions for individual sensors in distributed environment without any centralized co-ordination, and uses required combination of impacting parameters to achieve energy efficiency.
