Virtual high-resolution for sensor networks

Kansal, Aman; Kaiser, William J.; Pottie, Gregory J.; Srivastava, Mani; Sukhatme, Gaurav S.

doi:10.1145/1182807.1182813

Cited by 11 publications

(15 citation statements)

References 25 publications

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“…We argue that the bearing measurement may be improved if the enabled rotation provides better angular precision over that of sectoring device. Moreover, as stated previously, sensing performance of a sensor-actor network may be largely enhanced by simple motion in an occluded environment [16]. Although we currently do not simulate an occluded sensing medium, previous study in sensor-actor and directional sensors have sustained our belief that sensor-actor architectures may leverage the power of directional sensors frequently seen in some practical applications.…”

Section: Introductionmentioning

confidence: 74%

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Exploiting Constrained Rotation for Localization of Directional Sensor Networks

Lee

2008

2008 International Wireless Communications and Mobile Computing Conference

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Constrained rotation may change the configuration of a directional sensor network for improving the sensing performance while incurring low resource overhead. One of the premises is that localization has been completed before the network embarks on the reconfiguration process. In this paper we consider a localization problem of 2-D directional sensor networks that contain a subset of anchor nodes with fixed positions. All sensors are assumed to recognize the global north exactly through the operation of equipped compass. We introduce a distributed strategy to calibrate the position of non-anchor sensors. In our approach, sensors with directional sensing capability measure relative range and bearing with respect to line-of-sight neighboring nodes. Moreover, sensors enable constrained rotation (pan) to compensate the confined field of view and improve relative bearing measurements. We discuss the localization accuracy as a function of deployment density and bearing granularity. Using noisy distance and bearing (angular) information allows sensors to compute position estimate that asymptotically approaches ground truth given sufficiently high deployment density. We evaluate the performance through simulations.Our study is also motivated by recent research in sensoractor networks and directional sensing devices of specific kind. The former finds applications in systems that are capable of sensing physical phenomenon and performing actions [15].

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Section: Introductionmentioning

confidence: 74%

“…On the contrary, directional sensors provide efficient form to focus on the angle of interest. Such networks may optimize their configuration for sensing performance improvement by enabling constrained rotation (pan) [16]. In such system, the quality of location information may influence the metrics of sensing performance.…”

Section: Introductionmentioning

confidence: 99%

Exploiting Constrained Rotation for Localization of Directional Sensor Networks

Lee

2008

2008 International Wireless Communications and Mobile Computing Conference

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“…our work complements the existing work by focusing on camera motion planning and content delivery using inputs from multiple users and sensors. As pointed out by Kansal et al (2006), networked pantilt-zoom cameras can provide very high spatial resolution through controlled camera motion. Camera motion control in (Kansal et al 2006) was primarily driven by detected activities in the scene and only concerns single inputs.…”

Section: Related Workmentioning

confidence: 99%

“…As pointed out by Kansal et al (2006), networked pantilt-zoom cameras can provide very high spatial resolution through controlled camera motion. Camera motion control in (Kansal et al 2006) was primarily driven by detected activities in the scene and only concerns single inputs. Our work assumes known concurrent activities that have been detected by either online users or in-situ sensors and focuses on camera view selection instead.…”

Section: Related Workmentioning

confidence: 99%

Systems, control models, and codec for collaborative observation of remote environments with an autonomous networked robotic camera

2008

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Networked robotic cameras are becoming popular in remote observation applications such as natural observation, surveillance, and distance learning. Equipped with a high optical zoom lens and agile pan-tilt mechanisms, a networked robotic camera can cover a large region with various resolutions. The optimal selection of camera control parameters for competing observation requests and the ondemand delivery of video content for various spatiotemporal queries are two challenges in the design of such autonomous systems. For camera control, we introduce memoryless and temporal frame selection models that effectively enable collaborative control of the camera based on the competing inputs from in-situ sensors and users. For content delivery, we design a patch-based motion panorama representation and coding/decoding algorithms (codec) to allow efficient storage and computation. We present system architecture, frame selection models, user interface, and codec algorithms. We have implemented the system and extensively tested our design in real world applications including natural observation, public surveillance, distance learning, and building construction monitoring. Experiment results show that our frame selection models are robust and effective and our ondemand content delivery codec can satisfy a variety of spatiotemporal queries efficiently in terms of computation time communications bandwidth.

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“…Actuator control problems in several important CPS applications, such as water-efficient irrigation [Park et al 2009], energy-efficient HVACs, selfreconfiguring visual surveillance [Kansal et al 2006], and personalized light control [Singhvi et al 2005], are often expressed as optimization of a cost function, involving control inputs to actuators and sensor data, through techniques proposed in model predictive control. Programmers implement these applications by selecting an optimization algorithm that satisfies their performance requirements given energy constraints and network characteristics of the deployment.…”

Section: Introductionmentioning

confidence: 99%

Distributed programming framework for fast iterative optimization in networked cyber-physical systems

Balani

Wanner

Srivastava

2014

ACM Trans. Embed. Comput. Syst.

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Large-scale coordination and control problems in cyber-physical systems are often expressed within the networked optimization model. While significant advances have taken place in optimization techniques, their widespread adoption in practical implementations has been impeded by the complexity of internode coordination and lack of programming support for the same. Currently, application developers build their own elaborate coordination mechanisms for synchronized execution and coherent access to shared resources via distributed and concurrent controller processes. However, they typically tend to be error prone and inefficient due to tight constraints on application development time and cost. This is unacceptable in many CPS applications, as it can result in expensive and often irreversible side-effects in the environment due to inaccurate or delayed reaction of the control system. This article explores the design of a distributed shared memory (DSM) architecture that abstracts the details of internode coordination. It simplifies application design by transparently managing routing, messaging, and discovery of nodes for coherent access to shared resources. Our key contribution is the design of provably correct locality-sensitive synchronization mechanisms that exploit the spatial locality inherent in actuation to drive faster and scalable application execution through opportunistic data parallel operation. As a result, applications encoded in the proposed Hotline Application Programming Framework are error free, and in many scenarios, exhibit faster reactions to environmental events over conventional implementations.Relative to our prior work, this article extends Hotline with a new locality-sensitive coordination mechanism for improved reaction times and two tunable iteration control schemes for lower message costs. Our extensive evaluation demonstrates that realistic performance and cost of applications are highly sensitive to the prevalent deployment, network, and environmental characteristics. This highlights the importance of Hotline, which provides user-configurable options to trivially tune these metrics and thus affords time to the developers for implementing, evaluating, and comparing multiple algorithms. ACM Reference Format:Rahul Balani, Lucas F. Wanner, and Mani B. Srivastava. 2014. Distributed programming framework for fast iterative optimization in networked cyber-physical systems.

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Virtual high-resolution for sensor networks

Cited by 11 publications

References 25 publications

Exploiting Constrained Rotation for Localization of Directional Sensor Networks

Exploiting Constrained Rotation for Localization of Directional Sensor Networks

Systems, control models, and codec for collaborative observation of remote environments with an autonomous networked robotic camera

Distributed programming framework for fast iterative optimization in networked cyber-physical systems

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