Directional geographical routing for real-time video communications in wireless sensor networks

Chen, Min; Leung, Victor C. M.; Mao, Shiwen; Yuan, Yifei

doi:10.1016/j.comcom.2007.01.016

Cited by 165 publications

(105 citation statements)

References 35 publications

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“…Since the error correction is performed at the cluster heads, this transmission scheme improves the quality of the received image data at the sink (measured by PSNR). Another protocol that aims to increase the reliability of transmitted data over multiple paths is presented by Chen et al [32]. Here, multiple routing paths are established based on the proposed directional geographical routing (DGR) algorithm that, combined with FEC coding, provides more reliable data transmission compared to single-path routing, and it achieves better performance in overall delay and quality of video data at the sink.…”

Section: Reliabilitymentioning

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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Section: Reliabilitymentioning

confidence: 99%

A Survey of Visual Sensor Networks

2016

Computer Technology and Computer Programming

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“…Min Chen et al, [17] proposed a new multipath routing method termed directional geographical routing (DGR), to deal the problem of real-time video streaming on a bandwidth and energy constricted wireless sensor network (WSN) by combining forward error correction (FEC) coding, the minute number of dispersed video-sensor nodes (VNs) to a sink. In order to transmit parallel FECprotected H.26L real-time video streams on a bandwidthlimited, undependable networking environment, the DGR develops an application-unique number of multiple disjointed paths for a VN.…”

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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“…The conventional approaches for solving this problem utilize multiple disjoint path, cooperative diversity, and cooperative spatial multiplexing for effectively transmitting a video stream [4,5,6].…”

Section: Introductionmentioning

confidence: 99%

A design for distortion-aware cooperative relaying over wireless video sensor networks

Quan

Kim

2009

IEICE Electron. Express

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This paper describes a distortion-aware cooperative relaying (DACR) scheme for distortion minimized video transmission over wireless video sensor networks. We first introduce a simple performance metric considering the different spatial and temporal error propagation effects existing in a video packet. Then, we propose the DACR algorithm which achieves gradual video quality degradation due to packet loss under conditions of limited channel resources. Experimental results show that the proposed scheme outperforms other existing scheme, and can also support optimal video quality for variable channel status. Keywords: optimal video quality, video distortion, H.264/AVC, error propagation, cooperative relaying Classification: Science and engineering for electronics References[1] Z. He and D. Wu, "Resource allocation and performance analysis of wireless video sensors," IEEE trans. Circuits Syst.

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Directional geographical routing for real-time video communications in wireless sensor networks

Cited by 165 publications

References 35 publications

A Survey of Visual Sensor Networks

A Survey of Visual Sensor Networks

Multimedia Transmission in Multi Hop Wireless Sensor Network

A design for distortion-aware cooperative relaying over wireless video sensor networks

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