Transmitting streaming data in wireless multimedia sensor networks with holes

Shu, Lei; Zhou, Zhangbing; Hauswirth, Manfred; Phuoc, Danh Le; Yu, Peng; Zhang, Lin

doi:10.1145/1329469.1329472

Cited by 42 publications

(31 citation statements)

References 3 publications

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“…In [16], the authors have presented the MPMPS scheme in the transport layer, which is based on the TPGF multipath routing protocol [17]. MPMPS supports multiple priorities and chooses the maximum number of paths to maximize the throughput of the streaming data transmission.…”

Section: Multimedia Communication In Wsnmentioning

confidence: 99%

Prioritized Multipath Video Forwarding in WSN

Zaidi¹,

Jung²,

Song³

2014

Journal of Information Processing Systems

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Abstract-The realization of Wireless Multimedia Sensor Networks (WMSNs) has been fostered by the availability of low cost and low power CMOS devices. However, the transmission of bulk video data requires adequate bandwidth, which cannot be promised by single path communication on an intrinsically low resourced sensor network. Moreover, the distortion or artifacts in the video data and the adherence to delay threshold adds to the challenge. In this paper, we propose a two stage Quality of Service (QoS) guaranteeing scheme called Prioritized Multipath WMSN (PMW) for transmitting H.264 encoded video. Multipath selection based on QoS metrics is done in the first stage, while the second stage further prioritizes the paths for sending H.264 encoded video frames on the best available path. PMW uses two composite metrics that are comprised of hop-count, path energy, BER, and end-to-end delay. A colorcoded assisted network maintenance and failure recovery scheme has also been proposed using (a) smart greedy mode, (b) walking back mode, and (c) path switchover. Moreover, feedback controlled adaptive video encoding can smartly tune the encoding parameters based on the perceived video quality. Computer simulation using OPNET validates that the proposed scheme significantly outperforms the conventional approaches on human eye perception and delay.

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Section: Multimedia Communication In Wsnmentioning

confidence: 99%

Prioritized Multipath Video Forwarding in WSN

Zaidi¹,

Jung²,

Song³

2014

Journal of Information Processing Systems

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“…Moreover, we expect that the routing protocol may provide information of the number of hops of the paths, indirectly estimating the average endto-end delay [40], but dynamic approaches may be also considered [41][42][43]. Figure 10 presents a graphical example of a small heterogeneous camera network deployed for critical surveillance.…”

Section: Delay-aware Routingmentioning

confidence: 99%

Adaptive Monitoring Relevance in Camera Networks for Critical Surveillance Applications

Costa

Guedes

Vasques

et al. 2013

International Journal of Distributed Sensor Networks

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Camera networks have been considered for a large set of visual monitoring applications. For some of them, cameras may be continuously monitoring scenes or groups of targets, but some events may trigger a critical level of visual monitoring, as in public security, industrial automation, and response to natural disasters. In such way, some critical events as a bomb explosion, a volcanic eruption, forest wildfire, or a car accident must be captured with high relevance, potentially helping when identifying responsibilities and during rescue operations. New relevance levels, which can be reflected in higher quality of transmitted images or video streams or even higher priority during transmission over the network must be quickly assigned to cameras that can view the critical events.In this work we propose a methodology to dynamically assign relevancies to cameras that view the area of critical events, employing scalar sensors and a decentralized decision mechanism. The resulting multimodal camera network can considerably enhance the critical surveillance in different monitoring applications. We propose some optimizations that exploit the monitoring relevance in such scenarios.

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“…Additionally, we assume that the transmission paths are already created using some routing protocol [8] and that the available paths are known by router nodes. Some routing protocols as [20] can provide information of the number of hops of the path, and this information will be considered during routing since the end-to-end delay will be estimated based only on the number of hops of the paths.…”

Section: -14mentioning

confidence: 99%

A routing mechanism based on the sensing relevancies of source nodes for time-critical applications in visual sensor networks

Costa

Guedes

Vasques

et al. 2012

2012 IFIP Wireless Days

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-Wireless sensor networks may be deployed to retrieve visual information from the monitored field, enriching monitoring and control applications. Whenever a set of cameraenabled sensor nodes are deployed for time-critical monitoring, visual information as still images and video streams may need to reach the sink as soon as possible, requiring a differentiated treating of the network when compared with non-critical visual data. In such way, considering that source nodes may have different sensing relevancies for the application, according to the desired monitoring tasks and the current sensors' poses and fields of view, we propose a delay-aware multihop routing mechanism where higher relevant visual data packets are routed through paths with lower end-to-end delay. As sensor nodes are expected to be energy-constrained, transmitting only highrelevant packets through shorter/faster paths may prolong their lifetime and assure longer time-critical delivering, with low impact to the overall monitoring quality.

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Transmitting streaming data in wireless multimedia sensor networks with holes

Cited by 42 publications

References 3 publications

Prioritized Multipath Video Forwarding in WSN

Prioritized Multipath Video Forwarding in WSN

Adaptive Monitoring Relevance in Camera Networks for Critical Surveillance Applications

A routing mechanism based on the sensing relevancies of source nodes for time-critical applications in visual sensor networks

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