Dynamic Node Collaboration for Mobile Target Tracking in Wireless Camera Sensor Networks

Liu, L.; Zhang, X.; Ma, Huadóng

doi:10.1109/infcom.2009.5062032

Cited by 44 publications

(25 citation statements)

References 21 publications

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“…Hence, camera nodes need to merge on image data during monitored fields [4]. Additionally, different from traditional sensor networks, the detecting range of a camera sensor note has the characteristics of the sector [5].…”

Section: Camera Collaborationmentioning

confidence: 99%

A Survey on Wireless Camera Sensor Networks

Liu

2013

Lecture Notes in Electrical Engineering

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Recently, with the development of low-power and low-complexity hardware such as camera sensors, wireless camera sensor networks have been widely used in the novel field, e.g., smart home and medical. Wireless camera sensor networks can provide richer information such as image and picture during a monitored environment. However, the large amount of image data produced by the camera sensors requires exploring new means for data storage, processing and communication. In this paper, we first introduce the concepts and characteristics of the wireless camera sensor networks and discuss the applications of wireless camera sensor networks. Moreover, we present the architectures involved in the wireless camera sensor networks, along with their algorithms and protocols. Finally, we discuss other research issues briefly.

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Section: Camera Collaborationmentioning

confidence: 99%

A Survey on Wireless Camera Sensor Networks

Liu

2013

Lecture Notes in Electrical Engineering

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“…With the historical target positions, the target position is forecasted by ARMA-RBFN (Auto Regressive Moving Average-Radial Basis Function Network), where RBFN is utilized to compensate the ARMA forecasting. The work [11] proposes a dynamic cluster based node collaboration scheme to deal with the mobile target tracking problem in wireless camera sensor networks. The authors first develop a nonlinear localization-oriented sensing model for camera sensors by taking the observation noisy into account.…”

Section: Related Workmentioning

confidence: 99%

Priority-Based node selection and scheduling for wireless multimedia sensor networks

Alaei

Barceló-Ordinas

2010

2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications

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-A critical aspect of applications with wireless sensor networks is network lifetime. Sensing and communications consume energy particularly in wireless multimedia sensor networks (WMSN) due to huge amount of data generated by the multimedia sensors. Therefore, judicious power management and sensor scheduling can effectively extend network lifetime. In this paper we consider the problem of scheduling multimedia sensor activities to maximize network lifetime. The environment is divided in domains monitored by clusters of multimedia sensor nodes. Network lifetime increment is achieved by cooperation between multimedia sensors in two priority-based ways: Intracluster cooperation and Inter-cluster cooperation. We will see that the lifetime of cluster nodes is considerably increased under the proposed node selection and scheduling procedures. As for big clusters, the lifetime even is prolonged to 5.5 times with respect to the ordinary un-cooperative node awakening.

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“…T HE recent development of sensor networks [8], [10], [19], [20], [21], [22] has made it possible for users to search information not only in the cyber-space, but also in the physical world. It can be imagined that in the near future people would be able to enjoy searching temperature, humidity, light, smoke of various times, in a forest, according to their own preferences.…”

Section: Introductionmentioning

confidence: 99%

A General Framework for Efficient Continuous Multidimensional Top-k Query Processing in Sensor Networks

Jiang

Cheng

Wang

et al. 2012

IEEE Trans. Parallel Distrib. Syst.

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Abstract-Top-k query has long been a crucial problem in multiple fields of computer science, such as data processing and information retrieval. In emerging cyber-physical systems, where there can be a large number of users searching information directly into the physical world, many new challenges arise for top-k query processing. From the client's perspective, users may request different sets of information, with different priorities and at different times. Thus, top-k search should not only be multidimensional, but also be across time domain. From the system's perspective, data collection is usually carried out by small sensing devices. Unlike the data centers used for searching in the cyber-space, these devices are often extremely resource constrained and system efficiency is of paramount importance. In this paper, we develop a framework that can effectively satisfy demands from the two aspects. The sensor network maintains an efficient dominant graph data structure for data readings. A simple top-k extraction algorithm is used for user query processing and two schemes are proposed to further reduce communication cost. Our methods can be used for top-k query with any linear convex query function. The framework is adaptive enough to incorporate some advanced features; for example, we show how approximate queries and data aging can be applied. To the best of our knowledge, this is the first work for continuous multidimensional top-k query processing in sensor networks. Simulation results show that our schemes can reduce the total communication cost by up to 90 percent, compared with a centralized scheme or a straightforward extension from previous top-k algorithm on 1D sensor data.

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Dynamic Node Collaboration for Mobile Target Tracking in Wireless Camera Sensor Networks

Cited by 44 publications

References 21 publications

A Survey on Wireless Camera Sensor Networks

A Survey on Wireless Camera Sensor Networks

Priority-Based node selection and scheduling for wireless multimedia sensor networks

A General Framework for Efficient Continuous Multidimensional Top-k Query Processing in Sensor Networks

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