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

Alaei, Mohammad; Barceló-Ordinas, José M.

doi:10.1109/wimob.2010.5644981

Cited by 12 publications

(8 citation statements)

References 21 publications

(26 reference statements)

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“…There have also been some propositions for intrusion detection applications [10][11][12][13][14][15][16] but most of these studies focused on coverage and energy optimizations without explicitly having the application's criticality in the control loop which is the main concern in our work. For instance, with image sensors, the higher the capture rate is, the better relevant events could be detected and identified.…”

Section: Criticality-based Node Schedulingmentioning

confidence: 99%

Adaptive Duty-Cycled MAC for Low-Latency Mission-Critical Surveillance Applications

Ehsan

Pham

2014

Ad-Hoc, Mobile, and Wireless Networks

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Abstract. Mission-critical surveillance applications such as intrusion detection or disaster response have strong requirements in communication delays. We consider a Wireless Image Sensor Network (WISN) with a scheduling of image sensor node's activity based on the application criticality level. Sentry nodes capable of detecting intrusions with a higher probability than others will alert neighbor nodes as well as activating cover sets member for image disambiguation or situation-awareness purposes. At the access level, we consider duty-cycled Medium Access Control to periodically set nodes in sleep mode for energy preservation. However, in doing so, care must be taken to also preserve the quality of event detection and sentry nodes must still be able to propagate quickly alert messages. We propose an original approach to dynamically determine the duty-cycle values of image sensor nodes to increase the probability of matching active period between nodes, thus reducing the alert latency while globally reduce the energy consumption.

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Section: Criticality-based Node Schedulingmentioning

confidence: 99%

Adaptive Duty-Cycled MAC for Low-Latency Mission-Critical Surveillance Applications

Ehsan

Pham

2014

Ad-Hoc, Mobile, and Wireless Networks

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“…provides a priority-based sensor scheduling strategy to apply coordination on cluster sensor for awakening the minimum number of sensors to monitor the interested area [9]. Given the noisy measurements and the object prior distribution, Ercan et al uses the minimum mean square error (MSE) of the best linear estimate of the object location in 2D as a metric for sensor selection [10].…”

Section: Related Workmentioning

confidence: 99%

“…Cai et al organizes the directions of sensors into a group of nondisjoint cover set, where one cover set in which the directions cover all the targets is activated at one time to extend the network lifetime [8]. Alaei et al provides a priority-based sensor scheduling strategy to apply coordination on cluster sensor for awakening the minimum number of sensors to monitor the interested area [9]. Given the noisy measurements and the object prior distribution, Ercan et al uses the minimum mean square error (MSE) of the best linear estimate of the object location in 2D as a metric for sensor selection [10].…”

Section: Related Workmentioning

confidence: 99%

Camera Sensor Activation Scheme for Target Tracking in Wireless Visual Sensor Networks

2013

International Journal of Distributed Sensor Networks

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Target tracking has become an elementary task in wireless visual sensor networks (WVSNs). In this paper, we propose a camera sensor activation scheme for target tracking in WVSN. Our objective is to balance the tradeoff between the accuracy of target tracking and the resources of networks. By studying the sensing model and deployments of cameras, an observation correlation coefficient is derived to describe the correlation characteristics of visual information observed by cameras with overlapped field of views. According to the observation correlation coefficient, a correlation-based camera activation scheme is designed. Experimental results show that the proposed observation correlation coefficient can model the correlation characteristics of visual information in WVSN. Further simulations show that the correlation-based camera activation scheme has satisfied performance in target tracking compared with other sensor selection methods.

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“…The coverage problem has been studied in various forms, such as barrier coverage [3], mobile/stationary target coverage [5], and area coverage [6][7][8][9][10][11][12][13][14][15][16][17][18][19]. We study the area coverage problem.…”

Section: Introductionmentioning

confidence: 99%

Coverage improvement using Voronoi diagrams in directional sensor networks

Zarei

Bag-Mohammadi

2021

IET Wireless Sensor Systems

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Recently, the area coverage problem has emerged in the directional sensor network (DSN), where the sensor's sensed area depends on its working direction and viewing angle. This study has proposed a new algorithm based on the Voronoi diagram, called prioritized geometric area coverage (PGAC), to increase DSN's covered area. In a Voronoi diagram, all internal points of a convex polygon (cell) formed around a sensor are closer to the sensor than any other sensor. Therefore, the best sensor for covering a Voronoi cell area is the corresponding sensor of the cell. In contrast to similar approaches, PGAC considers the relation between the cell area and the sensor's covered area when selecting a sensor's working direction. It categorizes Voronoi cells, based on their geometric sizes, into three categories. In each category, PGAC adjusts the sensor's working direction to maximize the covered area and minimize the overlapping between adjacent cells. It also turns off redundant sensors for extending the network lifetime. Our simulation results showed that PGAC increases the covered area and decreases the number of active sensors compared to similar methods. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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

Cited by 12 publications

References 21 publications

Adaptive Duty-Cycled MAC for Low-Latency Mission-Critical Surveillance Applications

Adaptive Duty-Cycled MAC for Low-Latency Mission-Critical Surveillance Applications

Camera Sensor Activation Scheme for Target Tracking in Wireless Visual Sensor Networks

Coverage improvement using Voronoi diagrams in directional sensor networks

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