Towards Efficient Wireless Video Sensor Networks: A Survey of Existing Node Architectures and Proposal for A Flexi-WVSNP Design

Seema, Adolph; Reisslein, Martin

doi:10.1109/surv.2011.102910.00098

Cited by 100 publications

(52 citation statements)

References 88 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Architectures of mobile platforms of the components of wireless video networks are examined in [10,11]. But they additionally have to take into account the mobility of nodes.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Devising a method for the active coordination of video cameras in optical navigation based on the multi-agent approach

Burlachenko

Zhuravska

Musiyenko

2017

EEJET

View full text Add to dashboard Cite

“…Architectures of mobile platforms of the components of wireless video networks are examined in [10,11]. But they additionally have to take into account the mobility of nodes.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Devising a method for the active coordination of video cameras in optical navigation based on the multi-agent approach

Burlachenko

Zhuravska

Musiyenko

2017

EEJET

View full text Add to dashboard Cite

“…The interested reader may refer to the excellent survey papers from Abas et al [11] or Seema and Reisslein [12]. In particular, the latter identifies the requirements for a good VSN platform and thoroughly describe all the solutions proposed so far.…”

Section: Related Workmentioning

confidence: 99%

“…Also, such a design often results in high power consumption, since basic circuitry is usually duplicated on both the main board and the daughter boards. Besides classifying the available VSN platforms, the work in [12] provides a list of reasonable practical requirements for a good VSN node, namely (i) low power consumption (0.5W preferable -2W maximum) and possibility of supporting standby or sleep power modes (ii) high video throughput (up to 15 frame per seconds at CIF resolution) and (iii) low-cost (less than $50 USD). Also, the authors point out that it should be possible to substitute key components (i.e., camera sensor, radio module) based on competitive pricing/performance in a modular manner.…”

Section: Related Workmentioning

confidence: 99%

EZ-VSN: An Open-Source and Flexible Framework for Visual Sensor Networks

Bondi

Baroffio

Cesana

et al. 2016

IEEE Internet Things J.

View full text Add to dashboard Cite

Abstract-We present a complete, open-source framework for rapid experimentation of Visual Sensor Networks (VSN) solutions. From the software point of view, we base our architecture on open-source and widely known C++ libraries to provide the basic image processing and networking primitives. The resulting system can be leveraged to create different types of VSNs, characterized by the presence of multiple cameras, relays and cooperator nodes, and can be run on any Linux-based hardware platform, such as the BeagleBone Black. To demonstrate the flexibility of the proposed framework, we describe two different application scenarios typical of VSNs, namely object recognition and parking monitoring. The framework is then used to evaluate the benefits of two complementary paradigms for networked visual analysis recently discussed in the literature. In the traditional Compress-then-Analyze (CTA) paradigm, compressed images are transmitted from camera nodes to a central controller, where they are analyzed. In the novel Analyze-then-Compress (ATC) paradigm, camera nodes extracts and compress local features from the acquired images. Such features are transmitted to the central controller and used to perform visual analysis. We show that the ATC paradigm outperforms CTA from the consumed energy point of view, at the same target analysis accuracy in both the application scenarios.

show abstract

“…Traditionally, in WMSN platform designs [25], [26], [27], [28] these two limitations are viewed as a competing for a fixed energy budget (e.g., energy per video frame). Channel errors are compensated for by increasing the transmission power.…”

Section: • Predictive Encoding Of Video Increases the Impact Ofmentioning

confidence: 99%

A Tutorial on Encoding and Wireless Transmission of Compressively Sampled Videos

Pudlewski

Melodia

2013

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

Abstract-Compressed sensing (CS) has emerged as a promising technique to jointly sense and compress sparse signals. One of the most promising applications of CS is compressive imaging. Leveraging the fact that images can be represented as approximately sparse signals in a transformed domain, images can be compressed and sampled simultaneously using low-complexity linear operations. Recently, these techniques have been extended beyond imaging to encode video. Much of the compression in traditional video encoding comes from using motion vectors to take advantage of the temporal correlation between adjacent frames. However, calculating motion vectors is a processingintensive operation that causes significant power consumption. Therefore, any technique appropriate for resource constrained video sensors must exploit temporal correlation through lowcomplexity operations.In this tutorial, we first briefly discuss challenges involved in the transmission of video over a wireless multimedia sensor network (WMSN). We then discuss the different techniques available for applying CS encoding first to images, and then to videos for error-resilient transmission in lossy channels. Existing solutions are examined, and compared in terms of applicability to wireless multimedia sensor networks (WMSNs). Finally, open issues are discussed and future research trends are outlined.

show abstract

Towards Efficient Wireless Video Sensor Networks: A Survey of Existing Node Architectures and Proposal for A Flexi-WVSNP Design

Cited by 100 publications

References 88 publications

Devising a method for the active coordination of video cameras in optical navigation based on the multi-agent approach

Devising a method for the active coordination of video cameras in optical navigation based on the multi-agent approach

EZ-VSN: An Open-Source and Flexible Framework for Visual Sensor Networks

A Tutorial on Encoding and Wireless Transmission of Compressively Sampled Videos

Contact Info

Product

Resources

About