Real-Time Sensor-Actuator Networks

Sastry, Shivakumar; Iyengar, S. Sitharama

doi:10.1080/15501320490886314

Cited by 13 publications

(4 citation statements)

References 20 publications

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“…For example, in an assisted living environment if a person falls on the floor, the system should be capable of reporting that event within an acceptable time delay. However, it is very difficult to provide such real-time guarantees in all situations especially in the dynamic sensory environment, as mentioned often in real-time literature [Beccari et al 2005;Sastry and Iyengar 2005]. Therefore, we need to measure the timeliness of such a system to know its efficiency.…”

Section: 23mentioning

confidence: 99%

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Modeling and assessing quality of information in multisensor multimedia monitoring systems

Hossain

Atrey

Saddik

2011

ACM Trans. Multimedia Comput. Commun. Appl.

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Current sensor-based monitoring systems use multiple sensors in order to identify high-level information based on the events that take place in the monitored environment. This information is obtained through low-level processing of sensory media streams, which are usually noisy and imprecise, leading to many undesired consequences such as false alarms, service interruptions, and often violation of privacy. Therefore, we need a mechanism to compute the quality of sensor-driven information that would help a user or a system in making an informed decision and improve the automated monitoring process. In this article, we propose a model to characterize such quality of information in a multisensor multimedia monitoring system in terms of certainty, accuracy/confidence and timeliness. Our model adopts a multimodal fusion approach to obtain the target information and dynamically compute these attributes based on the observations of the participating sensors. We consider the environment context, the agreement/disagreement among the sensors, and their prior confidence in the fusion process in determining the information of interest. The proposed method is demonstrated by developing and deploying a real-time monitoring system in a simulated smart environment. The effectiveness and suitability of the method has been demonstrated by dynamically assessing the value of the three quality attributes with respect to the detection and identification of human presence in the environment.

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Section: 23mentioning

confidence: 99%

“…In general, the jitter associated with a task varies based on the type of implementation. A task carried out at the hardware device would have lower jitter than a task carried out at the software level [Sastry and Iyengar 2005]. Based on the above specification, we can define the current timeliness of an information item as,…”

Section: 23mentioning

confidence: 99%

Modeling and assessing quality of information in multisensor multimedia monitoring systems

Hossain

Atrey

Saddik

2011

ACM Trans. Multimedia Comput. Commun. Appl.

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“…The large number of advances in sensor networks has motivated research into new methods for naming nodes, discovering services, communication protocols (Intanagonwiwat et al , 2003, Kulik et al , 2002), self‐organization, querying and security (Wood and Stankovic, 2002). Recent investigations are focused on new MAC protocols (Ye et al , 2004), address assignment, clock synchronization (Sundararaman et al , 2005), real‐time aspects (Sastry and Iyengar, 2005), programming models (Levis and Culler, 2002) and new user interaction frameworks (Sastry, 2004).…”

Section: Related Workmentioning

confidence: 99%

Networked embedded automation

Hayslip

Sastry

Gerhardt

2006

Assembly Automation

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PurposeThe aim of this research is to investigate whether a collection of tiny, resource constrained, microcontrollers that communicate with each other over wireless links can perform rigorous automation tasks.Design/methodology/approachWe identify three building blocks that are necessary to obtain large conveyor systems. The operation of each building block is regulated by a local microcontroller and the microcontrollers interact via wireless links to coordinate the operations across blocks. We define the actions necessary in each block and discuss two example applications for this method.FindingsIt is necessary to fundamentally revisit how automation applications are engineered to get the benefits of new technologies. We show that the three blocks that we call segment, turnaround and crossover are sufficient to obtain a large variety of conveyor systems. By embedding the blocks in a grid, we can simplify the design of the conveyor systems.Research limitations/implicationsExtensions of this research to identify a set of building blocks for discrete automation applications and motion control applications could provide new insights, architectures and methods for future automation systems.Practical implicationsWhen fully realized, this approach can save engineering costs, commissioning costs and provide new approaches for managing faults in automation systems.Originality/valueThe three building blocks for conveyor systems and the method of programming the blocks that allows the blocks to be configured in a variety of ways to realize conveyor systems for many applications.

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“…Sensor and networking technologies now enable large-scale deployment of superior data acquisition systems with adjustable resolutions, called sensor networks (see Zhao and Guibas, 2004;Hirsch et al, 2008;Jain and Agrawal, 2005;Sastry and Iyengar, 2005;Chong and Kumar, 2003;Sinopoli et al, 2003;Cassandras and Li, 2005;Bauer, 2008). Each sensor node has a sensing capability, as well as limited energy supply, computing power, memory and communication ability.…”

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confidence: 99%

Sensor network scheduling for identification of spatially distributed processes

Uciński

2010

2010 Conference on Control and Fault-Tolerant Systems (SysTol)

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The work treats the problem of fault detection for processes described by partial differential equations as that of maximizing the power of a parametric hypothesis test which checks whether or not system parameters have nominal values. A simple node activation strategy is discussed for the design of a sensor network deployed in a spatial domain that is supposed to be used while detecting changes in the underlying parameters which govern the process evolution. The setting considered relates to a situation where from among a finite set of potential sensor locations only a subset of them can be selected because of the cost constraints. As a suitable performance measure, the Ds-optimality criterion defined on the Fisher information matrix for the estimated parameters is applied. The problem is then formulated as the determination of the density of gauged sites so as to maximize the adopted design criterion, subject to inequality constraints incorporating a maximum allowable sensor density in a given spatial domain. The search for the optimal solution is performed using a simplicial decomposition algorithm. The use of the proposed approach is illustrated by a numerical example involving sensor selection for a two-dimensional diffusion process.

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Real-Time Sensor-Actuator Networks

Abstract: Emerging technologies offer new paradigms for computation, control, collaboration, and communication

Cited by 13 publications

References 20 publications

Modeling and assessing quality of information in multisensor multimedia monitoring systems

Modeling and assessing quality of information in multisensor multimedia monitoring systems

Networked embedded automation

Sensor network scheduling for identification of spatially distributed processes

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