Data Suppression Algorithms for Surveillance Applications of Wireless Sensor and Actor Networks

Płaczek, Bartłomiej; Bernaś, Marcin

doi:10.1007/978-3-319-19419-6_3

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…26,27 Systematic use of data suppression algorithms would reduce the number of uninformative, and hence unnecessary, data transfers. 28 Any personal identifying information must be stored and transmitted in an encrypted form that can be accessed only by a public health officer for investigation purposes. The categories of information used by the system should be available for public scrutiny.…”

Section: Velsko and Batesmentioning

confidence: 99%

A Conceptual Architecture for National Biosurveillance: Moving Beyond Situational Awareness to Enable Digital Detection of Emerging Threats

Velsko¹,

Bates²

2016

Health Security

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Despite numerous calls for improvement, the US biosurveillance enterprise remains a patchwork of uncoordinated systems that fail to take advantage of the rapid progress in information processing, communication, and analytics made in the past decade. By synthesizing components from the extensive biosurveillance literature, we propose a conceptual framework for a national biosurveillance architecture and provide suggestions for implementation. The framework differs from the current federal biosurveillance development pathway in that it is not focused on systems useful for "situational awareness" but is instead focused on the long-term goal of having true warning capabilities. Therefore, a guiding design objective is the ability to digitally detect emerging threats that span jurisdictional boundaries, because attempting to solve the most challenging biosurveillance problem first provides the strongest foundation to meet simpler surveillance objectives. Core components of the vision are: (1) a whole-of-government approach to support currently disparate federal surveillance efforts that have a common data need, including those for food safety, vaccine and medical product safety, and infectious disease surveillance; (2) an information architecture that enables secure national access to electronic health records, yet does not require that data be sent to a centralized location for surveillance analysis; (3) an inference architecture that leverages advances in "big data" analytics and learning inference engines-a significant departure from the statistical process control paradigm that underpins nearly all current syndromic surveillance systems; and (4) an organizational architecture with a governance model aimed at establishing national biosurveillance as a critical part of the US national infrastructure. Although it will take many years to implement, and a national campaign of education and debate to acquire public buy-in for such a comprehensive system, the potential benefits warrant increased consideration by the US government.

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Section: Velsko and Batesmentioning

confidence: 99%

A Conceptual Architecture for National Biosurveillance: Moving Beyond Situational Awareness to Enable Digital Detection of Emerging Threats

Velsko¹,

Bates²

2016

Health Security

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“…According to another popular method, actors walk randomly in the monitored area until they receive target reports from sensor nodes [14]. In [15] default locations of actors were determined to ensure that the communication ranges of the available actors cover the entire monitored area. The default locations are arranged in a square grid.…”

Section: Control Of Actors' Mobilitymentioning

confidence: 99%

“…The last four algorithms in Table 3 utilize state-of-the-art approaches for actor deployment. According to the uniform deployment approach [15], a default initial location is determined for each actor to create an ideal square grid topology, which ensures full coverage of the monitored area. In this scheme, an actor which does not have information about target locations always moves toward its default location.…”

Section: Compared Algorithmsmentioning

confidence: 99%

Self-Organizing Mobility Control in Wireless Sensor and Actor Networks Based on Virtual Electrostatic Interactions

Płaczek

Bernaś

2016

Wireless Pers Commun

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This paper introduces a new mobility control method for surveillance applications of wireless sensor and actor networks. The proposed method is based on virtual electrostatic forces which act on actors to coordinate their movements. The definition of virtual forces is inspired by Coulomb's law from physics. Each actor calculates the virtual forces independently based on known locations of its neighbours and predetermined borders of the monitored area. The virtual forces generate movements of actors. This approach enables effective deployment of actors at the initial stage as well as adaptation of actors' placement to variable conditions during execution of the surveillance task without the need of any central controller. Effectiveness of the introduced method was experimentally evaluated in a simulation environment. The experimental results demonstrate that the proposed method enables more effective organization of the actors' mobility than state-of-the-art approaches.

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Information analysis of local suppression scheme based on a spatial-temporal model

Kim

Lee

Kim

2018

Journal of Applied Statistics

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Data Suppression Algorithms for Surveillance Applications of Wireless Sensor and Actor Networks

Cited by 3 publications

References 16 publications

A Conceptual Architecture for National Biosurveillance: Moving Beyond Situational Awareness to Enable Digital Detection of Emerging Threats

A Conceptual Architecture for National Biosurveillance: Moving Beyond Situational Awareness to Enable Digital Detection of Emerging Threats

Self-Organizing Mobility Control in Wireless Sensor and Actor Networks Based on Virtual Electrostatic Interactions

Information analysis of local suppression scheme based on a spatial-temporal model

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