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Improving Reliability Of Wireless Sensor Networks For Target Tracking Using Wireless Acoustic Sensors
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Book Synopsis Improving Reliability of Wireless Sensor Networks for Target Tracking Using Wireless Acoustic Sensors by : Raghu Kisore Neelisetti
Download or read book Improving Reliability of Wireless Sensor Networks for Target Tracking Using Wireless Acoustic Sensors written by Raghu Kisore Neelisetti and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Energy-Efficient Target Tracking Protocol Using Wireless Sensor Networks by : Adel Mohammad Shafiei
Download or read book An Energy-Efficient Target Tracking Protocol Using Wireless Sensor Networks written by Adel Mohammad Shafiei and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Resource Optimization in Wireless Sensor Networks for an Improved Field Coverage and Cooperative Target Tracking by :
Download or read book Resource Optimization in Wireless Sensor Networks for an Improved Field Coverage and Cooperative Target Tracking written by and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : There are various challenges that face a wireless sensor network (WSN) that mainly originate from the limited resources a sensor node usually has. A sensor node often relies on a battery as a power supply which, due to its limited capacity, tends to shorten the life-time of the node and the network as a whole. Other challenges arise from the limited capabilities of the sensors/actuators a node is equipped with, leading to complication like a poor coverage of the event, or limited mobility in the environment. This dissertation deals with the coverage problem as well as the limited power and capabilities of a sensor node. In some environments, a controlled deployment of the WSN may not be attainable. In such case, the only viable option would be a random deployment over the region of interest (ROI), leading to a great deal of uncovered areas as well as many cutoff nodes. Three different scenarios are presented, each addressing the coverage problem for a distinct purpose. First, a multi-objective optimization is considered with the purpose of relocating the sensor nodes after the initial random deployment, through maximizing the field coverage while minimizing the cost of mobility. Simulations reveal the improvements in coverage, while maintaining the mobility cost to a minimum. In the second scenario, tracking a mobile target with a high level of accuracy is of interest. The relocation process was based on learning the spatial mobility trends of the targets. Results show the improvement in tracking accuracy in terms of mean square position error. The last scenario involves the use of inverse reinforcement learning (IRL) to predict the destination of a given target. This lay the ground for future exploration of the relocation problem to achieve improved prediction accuracy. Experiments investigated the interaction between prediction accuracy and terrain severity. The other WSN limitation is dealt with by introducing the concept of sparse sensing to schedule the measurements of sensor nodes. A hybrid WSN setup of low and high precision nodes is examined. Simulations showed that the greedy algorithm used for scheduling the nodes, realized a network that is more resilient to individual node failure. Moreover, the use of more affordable nodes stroke a better trade-off between deployment feasibility and precision.
Book Synopsis RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks by : Slavisa Tomic
Download or read book RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks written by Slavisa Tomic and published by CRC Press. This book was released on 2022-09-01 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1799824551 Total Pages :1618 pages Book Rating :4.7/5 (998 download)
Book Synopsis Sensor Technology: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources
Download or read book Sensor Technology: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-02-07 with total page 1618 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collecting and processing data is a necessary aspect of living in a technologically advanced society. Whether it’s monitoring events, controlling different variables, or using decision-making applications, it is important to have a system that is both inexpensive and capable of coping with high amounts of data. As the application of these networks becomes more common, it becomes imperative to evaluate their effectiveness as well as other opportunities for possible implementation in the future. Sensor Technology: Concepts, Methodologies, Tools, and Applications is a vital reference source that brings together new ways to process and monitor data and to put it to work in everything from intelligent transportation systems to healthcare to multimedia applications. It also provides inclusive coverage on the processing and applications of wireless communication, sensor networks, and mobile computing. Highlighting a range of topics such as internet of things, signal processing hardware, and wireless sensor technologies, this multi-volume book is ideally designed for research and development engineers, IT specialists, developers, graduate students, academics, and researchers.
Book Synopsis Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks by : Satish R. Jondhale
Download or read book Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks written by Satish R. Jondhale and published by Springer Nature. This book was released on 2021-07-28 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book briefly summarizes the current state of the art technologies and solutions for location and tracking (L&T) in wireless sensor networks (WSN), focusing on RSS-based schemes. The authors offer broad and in-depth coverage of essential topics including range-based and range-free localization strategies, and signal path loss models. In addition, the book includes motion models and how state estimation techniques and advanced machine learning techniques can be utilized to design L&T systems for a given problem using low cost measurement metric (that is RSS). This book also provides MATLAB examples to demonstrate fundamental algorithms for L&T and provides online access to all MATLAB codes. The book allows practicing engineers and graduate students to keep pace with contemporary research and new technologies in the L&T domain.
Book Synopsis Target Tracking Using Wireless Sensor Networks by : Phuong Le Pham
Download or read book Target Tracking Using Wireless Sensor Networks written by Phuong Le Pham and published by . This book was released on 2012 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Research on Wireless Sensor Network Trends, Technologies, and Applications by : Kamila, Narendra Kumar
Download or read book Handbook of Research on Wireless Sensor Network Trends, Technologies, and Applications written by Kamila, Narendra Kumar and published by IGI Global. This book was released on 2016-08-04 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks have become an intricate and necessary addition to daily life by providing an energy efficient way to collect and monitor data while rerouting the information to a centralized location. As the application of these networks becomes more common, it becomes imperative to evaluate their effectiveness, as well as other opportunities for possible implementation in the future. The Handbook of Research on Wireless Sensor Network Trends, Technologies, and Applications provides inclusive coverage on the processing and applications of wireless communication, sensor networks, and mobile computing. Investigating emergent research and theoretical concepts in the area of wireless sensors and their applications to daily life, this handbook of research is a critical reference source for students, researchers, engineers, scientists, and working professionals.
Book Synopsis Wireless Sensor Networks by : Cailian Chen
Download or read book Wireless Sensor Networks written by Cailian Chen and published by Springer. This book was released on 2014-12-10 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief evaluates the cooperative effort of sensor nodes to accomplish high-level tasks with sensing, data processing and communication. The metrics of network-wide convergence, unbiasedness, consistency and optimality are discussed through network topology, distributed estimation algorithms and consensus strategy. Systematic analysis reveals that proper deployment of sensor nodes and a small number of low-cost relays (without sensing function) can speed up the information fusion and thus improve the estimation capability of wireless sensor networks (WSNs). This brief also investigates the spatial distribution of sensor nodes and basic scalable estimation algorithms, the consensus-based estimation capability for a class of relay assisted sensor networks with asymmetric communication topology, and the problem of filter design for mobile target tracking over WSNs. From the system perspective, the network topology is closely related to the capability and efficiency of network-wide scalable distributed estimation. Wireless Sensor Networks: Distributed Consensus Estimation is a valuable resource for researchers and professionals working in wireless communications, networks and distributed computing. Advanced-level students studying computer science and electrical engineering will also find the content helpful.
Book Synopsis Dynamic Information-theoretic Sensor Selection Schemes for Target Tracking Applications by : Farzaneh Razavi Armaghani
Download or read book Dynamic Information-theoretic Sensor Selection Schemes for Target Tracking Applications written by Farzaneh Razavi Armaghani and published by . This book was released on 2013 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless Sensor Networks (WSNs) provide ad hoc infrastructure for the applications that must operate in remote and harsh environments, e.g. target tracking, wildlife tracking, and environmental monitoring. The primary factors driving such pervasive applications are the flexibility, fault tolerance, high sensing fidelity, low cost, and rapid deployment characteristics of WSNs. Energy efficiency is a critical feature of WSNs because sensor nodes run on batteries. Batteries are generally difficult to recharge after deployment. The principal way of increasing the network lifetime is to minimise the number of active sensors in the region of interest.Target tracking applications, being some of the main applications in WSNs, need continuous location estimations of moving objects. The requirement for high accuracy of estimations poses an additional challenge to WSNs. Accuracy of estimations can be improved by activating more sensors. However, this approach to increasing accuracy can result in higher energy consumption and a shorter network lifetime. Therefore, a reliable and effective sensor selection scheme is necessary to rotate the tracking task between the optimal sets of active sensors, to balance the trade-off between estimation accuracy and network lifetime.This thesis addresses the problem of the accuracy-lifetime trade-off in sensor selection, for three types of target tracking applications: single target tracking, multiple-target tracking, and group target tracking. Particle filtering is a widely used Bayesian estimation method that is capable of solving realistic problems. We propose, develop, implement, and validate predictive sensor selection schemes to find the best set of active sensors heuristically. The proposed schemes take advantage of particle filtering to calculate the sensor information utilities based on the predicted locations of targets. The use of sensor information utilities and sensor energy parameters in the design of selection cost metrics facilitates the formation of best sets of active sensors. In addition, the problem of the accuracy-lifetime trade-off deals with the type of data processing mechanism. The proposed schemes investigate the impact of both local and central data processing on the trade-off. Group target tracking applications demand a compatible clustering algorithm to accurately estimate the groups and their constituent targets. The proposed clustering framework adaptively finds the target groups based on the notation of trajectory mining and graph theory, and is incorporated in the design of a region-based sensor selection scheme for group target tracking. To deal with the accuracy-lifetime trade-off, our sensor selection philosophy is to select a dynamic number of sensors at anytime.This thesis presents implementation and evaluation details of the proposed schemes. Extensive simulations and evaluations have been performed to show the energy efficiency of the proposed schemes in accurate tracking of the single, multiple, or grouped targets. The proposed schemes can be applied in different tracking and monitoring applications, e.g. wildlife tracking, environmental monitoring, bushfire tracking, and traffic management. The application is made feasible by redefining the concept of information utility based on the physical property of interest, e.g. sound and temperature. We believe that the adoption of the proposed schemes would assist any tracking application to dynamically reconfigure the sensor activities, so that network lifetime is prolonged and a high quality of information is attained.
Book Synopsis Target Tracking Algorithms for Distributed Sensor Networks by : Linda M. Mayer
Download or read book Target Tracking Algorithms for Distributed Sensor Networks written by Linda M. Mayer and published by . This book was released on 2004 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Distributed Target Tracking and Synchronization in Wireless Sensor Networks by : Jichuan Li
Download or read book Distributed Target Tracking and Synchronization in Wireless Sensor Networks written by Jichuan Li and published by . This book was released on 2016 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Characterization of Acoustic Sensor Motes for Target Tracking in Wireless Sensor Networks by : Abhisek Swain
Download or read book Characterization of Acoustic Sensor Motes for Target Tracking in Wireless Sensor Networks written by Abhisek Swain and published by . This book was released on 2006 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Underwater Acoustic Sensor Networks by : Yang Xiao
Download or read book Underwater Acoustic Sensor Networks written by Yang Xiao and published by CRC Press. This book was released on 2010-05-19 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed review of underwater channel characteristics, Underwater Acoustic Sensor Networks investigates the fundamental aspects of underwater communication. Prominent researchers from around the world consider contemporary challenges in the development of underwater acoustic sensor networks (UW-ASNs) and introduce a cross-layer approach for effec
Book Synopsis Statistical Signal Processing in Sensor Networks by : Marco Guerriero
Download or read book Statistical Signal Processing in Sensor Networks written by Marco Guerriero and published by . This book was released on 2009 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mobile Target Tracking In Wireless Sensor Networks by : Shereen Ismail
Download or read book Mobile Target Tracking In Wireless Sensor Networks written by Shereen Ismail and published by . This book was released on 2015-06-12 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis DEVELOPMENT OF EFFICIENT TARGET TRACKING SYSTEM USING WIRELESS SENSOR NETWORKS by : Satish Raosaheb Jondhale
Download or read book DEVELOPMENT OF EFFICIENT TARGET TRACKING SYSTEM USING WIRELESS SENSOR NETWORKS written by Satish Raosaheb Jondhale and published by Infotech Publishers. This book was released on 2022-09-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTRODUCTION Wireless sensor network (WSN) based target tracking has become a major research field in recent years. The WSN is composed of a large number of tiny, battery-powered spatially distributed sensor nodes that can communicate and exchange data with each other. This chapter first explains the fundamentals of wireless sensor networks, their characteristics, limitations, and applications. Next, the WSN based Localization and Tracking (L&T) issues and measurement techniques are discussed.
