Coordinated Distributed Power Management with Video Sensor Networks: Analysis, Simulation, and Prototyping

Zamora, Nicholas H.; Mărculescu, Radu

doi:10.1109/icdsc.2007.4357499

Cited by 22 publications

(25 citation statements)

References 18 publications

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“…Distributed power management of camera nodes based on coordinated node wake-ups is applied by Zamora (Zamora and Marculescu, 2007) to lower the energy usage of cameras. Their proposed policy assumes that each camera node is awake for a while, after which the camera node decides whether it should take the low-power state based on the states of its neighboring nodes.…”

Section: Introductionmentioning

confidence: 99%

Visual sensor network lifetime maximization by prioritized scheduling of nodes

Hooshmand

Soroushmehr

Khadivi

et al. 2013

Journal of Network and Computer Applications

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Section: Introductionmentioning

confidence: 99%

Visual sensor network lifetime maximization by prioritized scheduling of nodes

Hooshmand

Soroushmehr

Khadivi

et al. 2013

Journal of Network and Computer Applications

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“…In order to reduce the energy consumption of cameras Zamora and Marculescu [55] explore distributed power management of camera nodes based on coordinated node wake-ups. The proposed policy assumes that each camera node is awake for a certain period of time, after which the camera node decides whether it should enter the low-power state based on the timeout statuses of its neighboring nodes.…”

Section: Sensor Managementmentioning

confidence: 99%

“…Wireless networking Signal processing Middleware [72], [73], [74] Camera calibration: [18], [19], [21] Vision processing: * Object detection [22], [23] * Object tracking [25], [26], [27], [28], [29] * Advanced signal processing [30], [31] Sensor management [25], [29], [52], [53], [54], [55], [56] [32], [33], [38] Energy consumption: [60], [62], [64] Visual sensor node platformas: [5], [58], [66], [67] VSN architectures: [59], [68], [70] Hardware architectures Application * Reliability [35], [36], [37] * Delay sensitive communication [39], [40], [41], [42], [43], [44], [45], [46], [47] * Collaborative routing [49], [50] algorithms should explore how the o...…”

Section: Advances In Multimediamentioning

confidence: 99%

A Survey of Visual Sensor Networks

2016

Computer Technology and Computer Programming

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Visual sensor networks have emerged as an important class of sensor-based distributed intelligent systems, with unique performance, complexity, and quality of service challenges. Consisting of a large number of low-power camera nodes, visual sensor networks support a great number of novel vision-based applications. The camera nodes provide information from a monitored site, performing distributed and collaborative processing of their collected data. Using multiple cameras in the network provides different views of the scene, which enhances the reliability of the captured events. However, the large amount of image data produced by the cameras combined with the network's resource constraints require exploring new means for data processing, communication, and sensor management. Meeting these challenges of visual sensor networks requires interdisciplinary approaches, utilizing vision processing, communications and networking, and embedded processing. In this paper, we provide an overview of the current state-of-the-art in the field of visual sensor networks, by exploring several relevant research directions. Our goal is to provide a better understanding of current research problems in the different research fields of visual sensor networks, and to show how these different research fields should interact to solve the many challenges of visual sensor networks.

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“…Coordinated distributed power management (CDPM) has been proposed [Zamora and Marculescu 2007] for wireless video sensor networks. The purpose is to allow each node to make its own policy decisions while considering its neighbor's traffic load with predictive wakeup.…”

Section: Power Management Over Ldcmentioning

confidence: 99%

Analysis and minimization of power-transmission loss in locally daisy-chained systems by local energy buffering

Kim

Chou

2013

ACM Trans. Des. Autom. Electron. Syst.

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Power-transmission loss can be a severe problem for low-power embedded systems organized in a daisy-chain topology. The loss can be so high that it can result in failure to power the load in the first place. The first contribution of this article is a recursive algorithm for solving the transmission current on each segment of the daisy chain at a given supply voltage. It enables solving not only the transmission loss but also reports infeasible configurations if the voltage is too low. Using this core algorithm, our second contribution is to find energy-efficient configurations that use local energy buffers (LEBs) to eliminate peak load on the bus without relying on high voltage. Experimental results confirm that our proposed techniques significantly reduce the total energy consumption and enable the deployed system to operate for significantly longer.

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Coordinated Distributed Power Management with Video Sensor Networks: Analysis, Simulation, and Prototyping

Cited by 22 publications

References 18 publications

Visual sensor network lifetime maximization by prioritized scheduling of nodes

Visual sensor network lifetime maximization by prioritized scheduling of nodes

A Survey of Visual Sensor Networks

Analysis and minimization of power-transmission loss in locally daisy-chained systems by local energy buffering

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