WiSE-MNet: an experimental environment for wireless multimedia sensor networks

Nastasi, Christian; Cavallaro, Andrea

doi:10.1049/ic.2011.0171

Cited by 18 publications

(9 citation statements)

References 11 publications

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“…The wireless channel connects different nodes with each other and also simulates the behavior of the wireless link. The physical process also connects the nodes within the network and feed the sensor manager Wise-MNET provides an extension to some of Castalia's functions or features to generate simulation environment for WMSN [9]. WiSE-MNet provides a platform for the designing of the network prototcols.Wise-Mnet is designed for evaluating WMSN but doesn't provide QOE support and video control, by which we may evaluate the multimedia content from user's perspective.…”

Section: Omnet++ Framework For Multimedia Transmissionmentioning

confidence: 99%

Evaluation of Video Quality in Wireless Multimedia Sensor Networks

Shakir

Rehman

Abbas

et al. 2016

IJECE

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<p class="Default">Simulating wireless sensor networks; there implementation and evaluation, require the use of a discrete event simulator. Omnet++ is quite a powerful simulator which supports concise and easy modeling of wired as well as wireless sensors environment. Scenarios involving multimedia transmissions with characteristics of video quality control and evaluation must be computed on the basis of Quality of Experience which relies on user’s perception to maintain the video quality. For the multimedia growth and awareness of future WMSNs, it is quite necessary that the performance should be tested for different types of radio models. So varying the radio parameters may allow for the optimization and improvement of the video quality. In this paper we have provided a test bench for the easy evaluation and optimization of the performance of WMSNs using different radio models. The performance is evaluated based on the QoE metrics; i.e. PSNR(Peak Signal-to-Noise ratio) and MoS(Mean Opinion Score), which depend on user’s perception to maintain the video quality.</p>

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Section: Omnet++ Framework For Multimedia Transmissionmentioning

confidence: 99%

Evaluation of Video Quality in Wireless Multimedia Sensor Networks

Shakir

Rehman

Abbas

et al. 2016

IJECE

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“…Simulation experiments were conducted to analyze the performance of MEVI by using the extended version of Wireless Simulation Environment for Multimedia Networks (WiSE-MNet) [13], which is based on OMNeT++ [14]. The extended version of WiSE-Mnet [13], integrates the functionalities of WiSE-Mnet [15], Wvsnmodel [16] and Evalvid [17]. Also, it implements the change of the direction of the camera's FoV to retrieve multimedia content from the target area.…”

Section: Simulation Scenariomentioning

confidence: 99%

A Hierarchical Multi-hop Multimedia Routing Protocol for Wireless Multimedia Sensor Networks

Rosário

Costa

Paraense

et al. 2012

NPA

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Wireless Multimedia Sensor Networks (WMSNs) play an important role in pervasive and ubiquitous systems. WMSNs promise a wide scope of potential applications in both civilian and military areas, which require visual and audio information such as environmental monitoring, smart parking, traffic control, and other applications for smart cities. The multimedia content in such applications has the potential to enhance the level of collected information, show the real impact of the event and help to detect objects or intruders. However, WMSN applications must assure reliability, scalability, energy-efficiency and quality level (also from the user's point-of-view) to support the transmission of multimedia content. With this goal in mind, this article outlines a smart Multi-hop hierarchical routing protocol for Efficient VIdeo communication over WMSN (MEVI). MEVI combines a cluster formation scheme with a minimal signaling overhead, a cross-layer solution to select routes based on network conditions and energy issues, and a smart scheme to trigger multimedia transmission according to sensed data. The cluster approach aims to minimize the energy consumption and is suitable for the distribution of multimedia content in WMSNs.

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“…In the context of WVSN, Authors of [9] proposed to integrate EvalVid along with WiSE-MNet [10] in the Castalia simulator [11]. However, standard video coding techniques based on motion estimation algorithm such as MPEG-4, H.263 or H.264 supported by EvalVid are not suitable for sensor nodes [12].…”

Section: Introductionmentioning

confidence: 99%

“…WiSE-MNet++ [43] is an extended version of WiSE-MNet (Wireless Simulation Environment for Multimedia Networks) [10] that includes the implementation of several state-of-the-art algorithms for smart-camera networks. WiSE-MNet++ addresses the need for co-design of network protocols and distributed algorithms for WMSNs.…”

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confidence: 99%

SenseVid : A traffic trace based tool for QoE Video transmission assessment dedicated to Wireless Video Sensor Networks

Maimour

2018

Simulation Modelling Practice and Theory

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Video applications are being a key component to enhance traditional wireless sensor networks (WSN) applications. As a result, sensor network researchers need adequate and easy to use tools to assess the performances of their proposals. The existing transmission evaluation tools either consider video sequences along with codecs that are unsuitable for WSNs or make use of low cost compression methods for still images without inter-frame coding required for efficient video transmission. In this paper, we present SenseVid, an open source video transmission and evaluation tool that considers WSN specific characteristics. Besides low energy intra-frame compression based on fast pruned discrete cosine transform (DCT), a low complexity inter-frame encoding is provided to allow efficient support of video flows. A configurable fine-grain energy model is provided where both video capture and encoding cost are accounted for on a per frame basis. Video traffic differentiation based on priority levels is also provided. SenseVid adopts the video traffic traces approach, allowing its use in any simulation or real testbed environment. Using SenseVid, the user is able to reconstruct the received video considering lost packets during its transmission as well as estimating the achieved quality of service (QoS) and quality of experience (QoE).

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WiSE-MNet: an experimental environment for wireless multimedia sensor networks

Cited by 18 publications

References 11 publications

Evaluation of Video Quality in Wireless Multimedia Sensor Networks

Evaluation of Video Quality in Wireless Multimedia Sensor Networks

A Hierarchical Multi-hop Multimedia Routing Protocol for Wireless Multimedia Sensor Networks

SenseVid : A traffic trace based tool for QoE Video transmission assessment dedicated to Wireless Video Sensor Networks

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