In emerging tracking systems using largescale wireless sensor networks, sensor management is an essential task in order to balance the tracking performance and costs subject to limited network resources in terms of energy, communication bandwidth, and sensing range. In this paper, we propose linear programming models which handle two missions. It gives clear guidance on the conceptual and implementation issues involved in the design and operation of multi camera networks, as well as presenting the stateoftheart in hardware, algorithms and system development. In this paper, we present a new method based on quantitative multi target tracking. Handbook on array processing and sensor networks wiley. Distributive jpdaf for multitarget tracking in wireless. Target tracking algorithms were studied in the literature from several angles. Pdf multiple target tracking with wireless sensor network for. An energybalanced multisensor scheduling scheme for. A scalable multitarget tracking algorithm for wireless. Then, the proposed extended hinfinity filtering algorithm is applied to target tracking in wireless sensor networks.
Minimization of number of selected sensors for efficient target tracking has been modeled as multi objective optimization problem in 89 which achieved a pareto optimal tradeoff between the number of selected sensors and the. This paper considers the sensor allocation problem for multi target tracking mtt, in. Handbook on array processing and sensor networks is the first book of its kind and will appeal to researchers, professors, and graduate students in array processing, sensor networks, advanced signal processing, and networking. The sole motivation of a large portion of research efforts has been to maximize the lifetime of the network, where network lifetime is typically measured from the. Wang et al 2010, a novel mobility management scheme for.
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 costeffective energy consumption. Research paper on tracking moving targets in wireless. The nodes implementing the wireless sensor network are themselves limited in computing power and. Particle filter pf has been widely used in target tracking for its advantage of not being restricted by the assumption of linearity and gaussian approximation. Localized sensor management for multitarget tracking in. A comparative study of target tracking approaches in wireless. In particular, our proposed schemes can detect the mobile multi targets random appearance and disappearance in the clutter. We propose an efficient multi target tracking method in which the tracking task is switched between static clusters as the backbone of the network and dynamic clusters.
Application centric design, geoff v merrett and yen kheng tan, intechopen, doi. Due to wsns special characteristics, there happens to be a tradeoff between tracking accuracy and energy consumption. Zoubir, fellow, ieee abstract multi target tracking is an important problem in civilian and military applications. An object tracking sensor network otsn is made of \m\ static wireless sensors scattered throughout a geographical area for tracking \n\ mobile targets. Adaptive dynamic programmingbased multisensor scheduling. Decentralized quantized multitarget tracking in wireless. So the basic evaluations of target tracking along with the energy conservation and task allocation optimization techniques for multi sensor and multi target tracking have also been discussed. Target tracking in the field of observation is one of the critical tasks performed by the wireless sensor network.
Wireless sensor networks came into prominence around the start of this millennium motivated by the omnipresent scenario of smallsized sensors with limited power deployed in large numbers over an area to monitor different phenomenon. Collaborative multitarget tracking in wireless sensor. Help us write another book on this subject and reach those readers. A number of sensor nodes are scattered within a sensitive region to detect the. A novel loss recovery and tracking scheme for maneuvering target in hybrid wsns.
Energy efficient multi target tracking in heterogeneous wireless sensor networks kaustubh dhondge, candidate for the master of science degree university of missourikansas city, 2011 abstract tracking multiple targets in an energy efficient way is an important challenge in wireless sensor networks wsns. Pdf multitarget tracking using wireless sensor networks. Target tracking in wireless sensor netw orks, wireless sensor networks. Introduction in wireless sensor networks, many inexpensive and small sensor rich devices are deployed to monitor and control our environment 1, 2. As it is often the case in prior work that the accuracy of tracking heavily depends on. Energy efficient multitarget tracking in wireless sensor. In object tracking in wsn, sensor nodes are deployed. Routing optimization and secure target tracking in. Assuming that sensors have nonrechargeable batteries, one of the most critical aspects of otsn is energy consumption. Multiple target tracking with rf sensor networks maurizio bocca, ossi kaltiokallio, neal patwari member, ieee and suresh venkatasubramanian abstractrf sensor networks are wireless networks that can localize and track people or targets without needing them to carry or wear any electronic device. For wireless sensor networks, target tracking is an important application area, but the quantitative tracking methods in wireless sensor networks are more concentrate on single target tracking. Information processing in sensor networks is a rapidly emerging area of computer science and electrical engineering research. Wireless sensor nodes are being employed in various applications like in traffic control, battlefield, and habitat monitoring, emergency rescue, aerospace. In this section, we discuss the basic assumptions and models of the mobile target tracking task in wireless sensor networks.
Keywords wireless sensor networks, target tracking, energy balance. Localized sensor management for multitarget tracking in wireless sensor networks qing linga. Wireless sensor networks are normally limited in communication bandwidth. Multiple target tracking wireless sensor networks lifetime. Target tracking in wireless sensor networks intechopen.
Target tracking in wireless sensor network semantic scholar. Recent advances in integrated electronic devices motivated the use of wireless sensor networks wsns in many applications including target surveillance and tracking. In proceedings of the 2014 7th international symposium on telecommunications. Authors address many of the key challenges faced in the design, analysis and deployment of wireless sensor networks. Our proposed localized multi target tracking framework and localized sensor management algorithm are also compatible to the information querying and data routing framework. Behavioural data obtained while tracking the target including the target s. Target tracking in noisy wireless sensor network using artificial neural network. Rssaoabased target localization and tracking in wireless sensor networks presents recent advances in developing algorithms for target localization and tracking, reflecting stateoftheart algorithms and research achievements in target localization and tracking based on hybrid rssaoa measurements. The application areas of wsn comprises of environmental monitoring, military surveillance, health care, industrial process control, home intelligence, security, remote metering and many more.
A collaborative variationalmonte carlo scheme is proposed to solve the multi target tracking mtt problem in wireless sensor networks wsns. Pdf target tracking in wireless sensor networks using ngekf. The book considers the network design, coverage, target detection, localization and tracking of sensors in randomly deployed wireless networks, and proposes a stochastic model. Object tracking in wireless sensor networks american university. An improved particle filter for multitarget tracking in. Part of the communications in computer and information science book series ccis, volume 431. Submitted for publication 1 distributed multitarget. The prime motivation of our work is to balance the inherent tradeoff between the resource consumption and the accuracy of the target tracking. Target tracking based on the extended hinfinity filter in. Collaborative target tracking is one of the most important applications of wireless sensor networks wsns, in which the network must rely on sensor scheduling to balance the tracking accuracy and energy consumption, due to the limited network resources for sensing, communication, and computation. The book is broad in scope, covering smart camera architectures, embedded processing, sensor fusion and middleware, calibration and topology, network based detection and tracking, and applications in distributed and collaborative methods in camera networks. As wsn continuously monitor the environment, target tracking proved out to be one of. This book is the definitive reference in multi camera networks.
Sandell and reza olfatisaber dartmouth college hanover, nh 03755 fnils. Target tracking using interactive multiple model for. From the system perspective, the network topology is closely related to the capability and efficiency of network wide scalable distributed estimation. As wsn continuously monitor the environment, target tracking proved out to be. Mobile target tracking with multiple objectives in. The problem of energyefficient multi target tracking mtt in wireless sensor networks is considered for sensor nodes with limited energy resources and sharp manoeuvring targets of different classes.
For a multi hop wireless sensor network, the limited sensing and communication resources give rise to distinct challenges to the task of tracking mobile targets, which is traditionally treated primarily from the data fusion perspective. A novel approach for information discovery in wireless sensor grids. A scalable multitarget tracking algorithm for wireless sensor. Monitoring wireless sensor network performance by tracking node operational deviation. Aware target tracking for wireless sensor networks using tinyos on 978142445540910 ieee 2010 pp 1871920 wireless sensor networks consist of various sensor nodes which operate in a memory, energy and bandwidth constrained environment. Wireless sensor networks are normally limited in communication. Adaptive multitarget tracking in heterogeneous wireless. Distributed sensor allocation for multitarget tracking in. Submitted for publication 1 distributed multitarget tracking in autonomous sensor networks mark r. Because of advances in microsensors, wireless networking and embedded processing, ad hoc networks of sensor are becoming increasingly available for commercial, military, and homeland security applications.
Multiple 3d target tracking in binary wireless sensor network. Distributed data association for multitarget tracking in. A distributed multi sensor multi target tracking scheme is proposed for energyefficient mtt with adaptive sampling. Multiple mobile target tracking in wireless sensor networks. Distributed consensus estimation is a valuable resource for researchers and professionals working in wireless communications, networks and distributed computing. In this paper we present the development of a distributive joint probabilistic data association filter jpdaf for multi target tracking in wireless sensor netw orks. Sincethen,ihavebeen very fortunate to collaborate with him and other parc folks on many di. This paper considers the sensor allocation problem for multi target tracking mtt, in which a group of sensors are. Wireless sensor networks presents a comprehensive and tightly organized compilation of chapters that surveys many of the exciting research developments taking place in this field.
Randomly deployed wireless sensor networks offers a probabilistic method to model and analyze these networks. One of the most interesting applications in wireless sensor networks is target. Routing optimization and secure target tracking in distributed wireless sensor networks. Energy efficiency and optimized allocation of sensor nodes are critical requirements to maximize the life time of sensor network. Adaptive sampling for energyefficient collaborative multi. For ground surveillance applications, the wireless sensor networks play a. Abstract this paper presents the results of a study on the effects of data aggregation for multi target tracking in wireless sensor netw orks.
Target object detection algorithm using wireless sensor network. Target tracking in a wireless sensor network wsn environment is a challenging research problem. Mobile target tracking is viewed as one of the primary applications in wireless sensor networks wsns. Due to the limited energy supplies of nodes in wireless sensor networks wsn, optimizing their design under energy constraints, reducing their communication. Interactive multiple model imm is a popular scheme for accurate target tracking. Object detection in wireless sensor network wsn plays an important role. Adaptive multi target tracking in heterogeneous wireless sensor networks kaustubh dhondge baekyoung choi department of computer science electrical engineering university of missouri kansas city 64110 kansas city, usa fkaustubh. The existing target tracking scheme used in wsn employs kalman filter kf which fails to track the target accurately.
Tracking mobile targets in wireless sensor networks wsns is of utmost importance in surveillance applications. Distributed data association for multitarget tracking in sensor networks nils f. Rssaoabased target localization and tracking in wireless. Communicationaware algorithms for target tracking in wireless. Multiple target tracking with wireless sensor network for ground battlefield. A novel mobility management scheme for target tracking in clusterbased.
Balthasar, student member, ieee, paolo braca, member, ieee, and abdelhak m. Chapters are written by several of the leading researchers exclusively for this book. Randomly deployed wireless sensor networks 1st edition. Then, we put forward a novel energybalanced sensor nodes. Part of the lecture notes in computer science book series lncs, volume 8472. Wireless sensor network wsn comprises of huge number of spatially distributed homogeneous or heterogeneous sensors. Multitarget data aggregation and tracking in wireless. First, the extended hinfinity filter for nonlinear discretetime systems is deduced through the krein space analysis scheme. Citeseerx document details isaac councill, lee giles, pradeep teregowda. In this paper, we propose a new target tracking approach for wireless sensor networks wsns by using the extended hinfinity filter.
1254 807 1427 1546 579 449 952 46 429 1297 1290 343 601 942 920 495 1268 234 1018 1112 1312 1344 676 544 349 1170 514 1253 436 1176 1269 907 972 734 714 1149