Multi-priority Multi-path Selection for Video Streaming in Wireless Multimedia Sensor Networks

Zhang, Lin; Hauswirth, Manfred; Shu, Lei; Zhou, Zhangbing; Reynolds, Vinny; Han, Guangjie

doi:10.1007/978-3-540-69293-5_35

Cited by 53 publications

(51 citation statements)

References 16 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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“…In a different way, it is proposed in [11] the Multi-Level Rate-Oriented Routing (MLRR) mechanism, a routing scheme where lower transmission rates should be associated with the nodes having less residual power energy, potentially prolonging their lifetimes. A context-aware multipath routing scheme is proposed in [12], where the relevance of the encoded data is exploited for path selection. Authors proposed the MPMPS (Multi-Priority Multi-Path Selection) algorithm to find the paths with lower end-to-end delay for multimedia streaming, considering a set of available node-disjoint paths.…”

Section: Related Workmentioning

confidence: 99%

“…We propose an innovative routing mechanism where highrelevant packets are routed through paths with lower end-toend delay, but in a different way of [12][13], the sensing relevancies of source nodes are exploited to define the packets' priorities, whatever is the characteristics of the transmitted media. Doing so, energy is preserved over the paths with lower delay, potentially benefiting time-critical visual monitoring applications.…”

Section: Related Workmentioning

confidence: 99%

“…So, we can roughly state that the end-to-end delay increases when packets have to cross more hops, and if p i > p j in number of hops, we can expect that d i > d j . Therefore, we will compare the end-to-end delay of different paths through the number of intermediate nodes that compose the paths, in the same way of [12]. Moreover, as the transmission rate may also impact the communication delay, directing affecting the MAC layer collisions and retransmissions, we can also draw a similar conclusion: for t i as the transmission rate in path p i and t j as the transmission rate in path p j , if t i > t j and p i = p j in number of hops, we can also expect that d i > d j .…”

Section: A End-to-end Delaymentioning

confidence: 99%

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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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“…To ensure the usage of limited bandwidth and energy in WMSNs, more priority must be provided to the significant stream (either audio stream or image stream). Lin Zhang et al, [20] proposed a Multi priority Multipath Selection (MPMPS) method in the transport layer to select the highest number of paths from every node disjoint found in routing paths to increase the outcome of streaming data transmission. The maximum number of paths for video transmission is efficiently selected by the MPMPS is illustrated through its simulation results.…”

Section: Literature Reviewmentioning

confidence: 99%

Multimedia Transmission in Multi Hop Wireless Sensor Network

Sakthidharan¹,

Chitra²

2012

IJCA

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Quality of Service (QoS) is a requirement for proper functioning of traditional and modern networks. Wireless Sensor Networks (WSN) is adversely affected because of mobility, harsh communication medium, and environment behavior. Quality of Service is a crucial aspect in WSN design information sent by nodes and delivered according to QoS requirements to provide outside observers accurate vision of monitored phenomena. In WSNs for effective transmission of still images, audio, and video information enforces rigorous necessities on the energy consumption and throughput. In this paper, it is proposed to investigate the performance of routing traffic for multimedia traffic in WSN for multihop nodes from the sink. Keywords-WirelessSensor Network, packet scheduling, Dynamic Source Routing, Multimedia traffic, one hop nodes. 1.INTRODUCTIONTechnological advances in microelectronic mechanical systems (MEMS) and wireless communication technologies ensured the development of tiny, low-cost, low-power, and multifunctional smart sensor nodes in WSN. Wireless Sensor Networks (WSNs) are considered to be an important technology for the twenty-first century [1]. These sensor nodes are deployed and networked through internet and wireless links, providing opportunities for various civilian and military applications, like environmental monitoring, battle field surveillance, and industry process control [2]. Development of WSNs was first encouraged by military applications like battlefield surveillance, but they are now used in civilian applications like environment and habitat monitoring, healthcare applications, home automation, and traffic control. Differentiated from traditional wireless communication networks like cellular systems and mobile ad hoc networks (MANET), WSN's unique characteristics like dense node deployment level, sensor nodes higher unreliability and energy, computation, and storage constraints [3] provide new challenges in WSN development and application. Lot of research explored and solved various design/application issues, and major advances were made in their development and deployment.A WSN consists of a huge number ranging from tens to thousands of low-cost, low-power, and multifunctional sensor nodes deployed in a region of interest. Such sensor nodes are small in size and equipped with embedded microprocessors, radio receivers, and power components to enable sensing, computing, communication, and actuation, the components being integrated on a single/multiple boards, and packed in space of a few cubic inches. WSNs communicate over short distances through wireless channels to share information and cooperative processing to complete common tasks. They are deployed globally for environmental monitoring and habitat study, over battlefields for military surveillance and reconnaissance, for search and rescue in emergency situations, for condition based maintenance and process control in factories, for infrastructure health monitoring in buildings and in homes to realize smart homes.In a typical scenario...

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Multi-priority Multi-path Selection for Video Streaming in Wireless Multimedia Sensor Networks

Cited by 53 publications

References 16 publications

Prioritized Multipath Video Forwarding in WSN

Prioritized Multipath Video Forwarding in WSN

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

Multimedia Transmission in Multi Hop Wireless Sensor Network

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