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DCACT hybrid method inWSN-based target tracking

Morteza Sepahvand, Ali Naseri, Meysam Raeesdanaee, Mohammad Hossein Khanzadeh
2018 International Journal of Engineering and Technology  
The use of Bayesian location estimation methods (a subset of consensus average tracking methods) is one of the most commonly used tracking methods in Wireless Sensor Networks (WSN) due to high error tolerance  ...  In this paper, a hybrid method called DCACT based on dynamic clustering and baysian estimation methods (IMMKF and MMPF), will be presented that tracks the maneuvering target with very good accuracy.  ...  noise, sensor clusters based on Posterior Cramer-Rao Lower Band(PCRLB) is selected and then object tracking is performed based on IMMPF.  ... 
doi:10.21817/ijet/2018/v10i4/181004205 fatcat:wgjauorjxngppitiphncvpl5iy

Channel-Aware Tracking in Multi-Hop Wireless Sensor Networks with Quantized Measurements

Xiaojun Yang, Ruixin Niu, Engin Masazade, Pramod K. Varshney
2013 IEEE Transactions on Aerospace and Electronic Systems  
A channel-aware target tracking approach is proposed for multi-hop sensor networks based on M-bit quantized measurements.  ...  His research interests include distributed detection, localization, and tracking for wireless sensor networks, and dynamic resource management in sensor/communication networks.  ...  Here, we use a particular form of the conditional PCRLB as the criterion to select sensors in the WSN for target tracking.  ... 
doi:10.1109/taes.2013.6621821 fatcat:h4ll44lp3reopkn2vz4vwdxy2u

Radar networks: A review of features and challenges [article]

S. Hamed Javadi, Alfonso Farina
2020 arXiv   pre-print
Networks of multiple radars are typically used for improving the coverage and tracking accuracy.  ...  They exploit advanced signal processing techniques together with efficient data fusion methods in order to yield high performance of event detection and tracking.  ...  While the computational complexity of MI-based sensor selection rises exponentially with the number of activated sensors, it increases linearly in PCRLB and C-PCRLB-based methods.  ... 
arXiv:2003.12746v1 fatcat:icl2leflt5cyjooptxymdvtjta

Sensor Management for Large-Scale Multisensor-Multitarget Tracking [chapter]

2014 Integrated Tracking, Classification, and Sensor Management  
In general, sensor management is performed based on the predicted tracking performance at the future time steps.  ...  First, the sensor subset selection problem for centralized architecture is considered for two different scenarios: (i) fixed and known llumber of targets; (ii) varying number of targets.  ...  We present strategies for selecting the optimal sensor subset (n out of N) based on the multitarget PCRLB.  ... 
doi:10.1002/9781118450550.ch12 fatcat:cxzgjwkzmrdgbpfvm6jyhotsne

A New Energy Efficient Management Approach for Wireless Sensor Networks in Target Tracking

Ce Pang, Gongguo Xu, Ganlin shan, Yunpu Zhang
2020 Defence Technology  
This paper mainly studied the problem of energy conserving in wireless sensor networks for target tracking in defensing combats.  ...  Abstract This paper mainly studied the problem of energy conserving in wireless sensor networks for target tracking in defensing combats.  ...  The analysis of sensor consumption in target tracking In target tracking, there are four steps where energy is mainly consumed using the wireless sensor network as follows. (1)In the sensing mode, energy  ... 
doi:10.1016/j.dt.2020.05.022 fatcat:77iztq3ocnfddmxghz6oemi4jq

Efficient and Adaptive Node Selection for Target Tracking in Wireless Sensor Network

Juan Feng, Hongwei Zhao, Baowang Lian
2016 Journal of Sensors  
This work proposes an efficient and adaptive node selection approach for tracking a target in a distributed wireless sensor network.  ...  In target tracking wireless sensor network, choosing the proper working nodes can not only minimize the number of active nodes, but also satisfy the tracking reliability requirement.  ...  In [9] , the authors proposed a node selection scheme within the framework of particle filter, which uses clustering network architecture for collaborative tracking.  ... 
doi:10.1155/2016/9152962 fatcat:njvhos7vije75kouzv4mzb22be

Distributed tracking with probability hypothesis density filters using efficient measurement encoding

A. Aravinthan, R. Tharmarasa, Tom Lang, Mike McDonald, T. Kirubarajan, Oliver E. Drummond, Richard D. Teichgraeber
2009 Signal and Data Processing of Small Targets 2009  
However, the application of PHD based state estimators for a distributed sensor network, where each tracking node runs its own PHD based state estimator, is more challenging compared with single sensor  ...  Probability Hypothesis Density (PHD) filter is a unified framework for multitarget tracking that provides estimates for a number of targets as well as individual target states.  ...  Sensor network is widely used in many application areas including target tracking. Centralized and distributed tracking architectures are commonly used in sensor networks for target tracking.  ... 
doi:10.1117/12.826552 fatcat:zq5vbgci7jgzho5iisyrc7nvru

Node Depth Adjustment Based Target Tracking in UWSNs Using Improved Harmony Search

Meiqin Liu, Duo Zhang, Senlin Zhang, Qunfei Zhang
2017 Sensors  
Underwater wireless sensor networks (UWSNs) can provide a promising solution to underwater target tracking.  ...  In our previous work, we provided some solutions to select the optimal node cluster for target tracking [12, 13] .  ...  As an extension of terrestrial wireless sensor networks, UWSNs can be used for disaster warning, environmental monitoring, underwater target detection and tracking [1] [2] [3] [4] [5] .  ... 
doi:10.3390/s17122807 pmid:29207541 pmcid:PMC5751611 fatcat:ubnj4ff7kfdonew7s5h6cl3lhi

Adaptive Control and Reconfiguration of Mobile Wireless Sensor Networks for Dynamic Multi-Target Tracking

Xi Zhang
2011 IEEE Transactions on Automatic Control  
We propose the adaptive control and reconfiguration schemes for mobile wireless sensor networks (MWSN) to achieve timely and accurate mobile multi-target tracking (MMTT) with cost-effective energy consumption  ...  Index Terms-Distributed/Decentralized Probability Hypothesis Density (DPHD) Filter, dynamic mobile multi-target tracking, mobile wireless sensor networks (MWSN), mutual information-theory based control  ...  Dynamically adjusting mobile sensors' states, our schemes can efficiently improve the observabilities of the mobile targets being tracked.  ... 
doi:10.1109/tac.2011.2163862 fatcat:dqd37qoubjgbxdpypbgsq5unmu


Hong-Qing Liu, Hing-Cheung So
2009 Electromagnetic Waves  
Tracking a target is a fundamental and crucial problem in wireless sensor networks.  ...  In this paper, a line-of-sight (LOS) identification approach for range-based tracking systems is developed to discard the NLOS measurements.  ...  INTRODUCTION The research topic of wireless sensor network (WSN) has attracted much attention over the past few years.  ... 
doi:10.2528/pier09090701 fatcat:ex3rdql4inbknk2zcz52vrk7um

Mobility Tracking in Cellular Networks Using Particle Filtering

L. Mihaylova, D. Angelova, S. Honary, D. Bull, C. Canagarajah, B. Ristic
2007 IEEE Transactions on Wireless Communications  
This paper proposes Monte Carlo techniques for mobility tracking in wireless communication networks by means of received signal strength indications.  ...  Mobility tracking based on data from wireless cellular networks is a key challenge that has been recently investigated both from a theoretical and practical point of view.  ...  This research is sponsored by the Tracking Cluster project DIFDTC/CSIPC1/02 with the UK MOD Data and Information Fusion Defence Technology Centre, the EPSRC project EP/E027253/1 and partially by the Bulgarian  ... 
doi:10.1109/twc.2007.05912 fatcat:fvw377zbcja3bfo27w4fefpy4i

A Survey on Gas Leakage Source Detection and Boundary Tracking with Wireless Sensor Networks

Lei Shu, Mithun Mukherjee, Xiaoling Xu, Kun Wang, Xiaoling Wu
2016 IEEE Access  
With the advance and rapid adoption of wireless sensor networks (WSNs) in the last decades, source localization and boundary estimation have became the priority of research works.  ...  Gas leakage source detection and boundary tracking of continuous objects have received a significant research attention in the academic as well as the industries due to the loss and damage caused by toxic  ...  WSN-Based Localization and Tracking: Wireless sensor networks (WSNs) are multi-hop systems with randomly deployed sensor nodes in the monitoring area.  ... 
doi:10.1109/access.2016.2550033 fatcat:lcyexubfbzfn3n2wxpmkxjkszm

A Node Selection Algorithm Based on Multi-Objective Optimization Under Position Floating

Shengkai Tian, Zhenkai Zhang
2022 IEEE Access  
Aiming at solving this problem during underwater target tracking, a node selection algorithm based on multi-objective optimization under position floating was proposed in this paper.  ...  Almost all existing node selection algorithms of the underwater sensor networks (USNs) are designed by assuming ideal environments.  ...  The commonly used underwater target tracking technologies include target tracking based on traditional acoustic sensor arrays (TASAs), target tracking based on acoustic imaging sensor and target tracking  ... 
doi:10.1109/access.2022.3167642 fatcat:tqxdamo3crbvbp5pqznlim5ik4

Learning Wireless Sensor Networks for Source Localization

S. Javadi, Hossein Moosaei, Domenico Ciuonzo
2019 Sensors  
Source localization and target tracking are among the most challenging problems in wireless sensor networks (WSN).  ...  In this paper, we propose computationally-cheap solutions based on the support vector machine (SVM) and twin SVM (TWSVM) learning algorithms in which network nodes firstly detect the desired signal.  ...  To alleviate this problem, another sensor selection scheme for source localization based on conditional posterior Cramer-Rao Lower Bound (PCRLB) has been proposed by [18, 19] .  ... 
doi:10.3390/s19030635 fatcat:oksytv6nabhgbatfwzkdewk4lq

Efficient Node and Sensed Module Management for Multisensory Wireless Sensor Networks

Juan Feng, Xiaozhu Shi
2018 Sensors  
In target tracking wireless sensor networks, choosing a part of sensor nodes to execute tracking tasks and letting the other nodes sleep to save energy are efficient node management strategies.  ...  This work proposes an efficient node and sensed module management strategy, called ENSMM, for multisensory WSNs (wireless sensor networks).  ...  In [7] , the authors propose a sensor selection approach based on maximum entropy fuzzy clustering to address the target tracking problem in large-scale sensor networks.  ... 
doi:10.3390/s18072328 pmid:30021966 pmcid:PMC6068582 fatcat:ph7la6dtp5evjhxgbu7mog627i
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