Multimedia sensor networks for ISR applications

DeBardelaben, James A.

doi:10.1109/acssc.2003.1292333

Cited by 13 publications

(5 citation statements)

References 9 publications

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“…And DeBardelaben, J.A. [9] presented the concept of multimedia sensor network in the international conference in 2003. After that, some impartment research findings were introduced in IEEE conferences (such as INFOCOM, ICIP, MASS, WirelessCom), ACM conferences (such as ACM Multimedia, ACM SenSys, ACM MobiCom, ACM WSNA).…”

Section: Status Of Wireless Multimedia Sensor Networkmentioning

confidence: 99%

A Survey on QoS-Aware Secure Data Transmission in Multimedia Sensor Networks

Wang

2014

AMM

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QoS assurance and information security are important for multimedia data transmission in wireless multimedia sensor networks. First, the status of multimedia sensor networks was introduced. Then research status of QoS assurance and information security of wireless multimedia sensor networks was surveyed, and the related open issues were also analyzed. Finally, the technology routes to solve the open issues were also studied and discussed. We argue that trusted QoS architecture considering various applications with different QoS requirements is important for wireless multimedia sensor networks. And network conditions and protocol layers must be well designed in QoS-aware secure multimedia routing mechanism to satisfy QoS requirements of multiple traffic classes. Technologies of information hiding, multimedia data resolution, and multi-routing can be used for privacy protection in wireless multimedia sensor networks.

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Section: Status Of Wireless Multimedia Sensor Networkmentioning

confidence: 99%

A Survey on QoS-Aware Secure Data Transmission in Multimedia Sensor Networks

Wang

2014

AMM

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“…Therefore, to adapt new demand of video application, it must require low-complexity encoder. Traditional video coding standard(such as MPEG, H.26) adopts technology of motion estimation and motion compensation , it causes encoding complexity is 5-10 times than decoding complexity [2], it's hard to satisfy the code low-complexity requirement of new video application. Slepian-Wolf and Wyner-Ziv theories of information theory indicate [3]: In encoding and decoding system, decoder end in the precondition of jointed decoding, encoder end carries on encoding independently or jointly for two related information resource [4], and achieving same distortion performance at last.…”

Section: Introductionmentioning

confidence: 99%

Multi-View Distributed Video Coding Based on Discrete Cosine

Guanqun

Ling

2014

JMM

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To investigate the allocation scheme of the multi-view distributed video coding (DVC), the corresponding improvements are proposed correspondingly for traditional multi-view DVC. Traditional multi-view DVC (Wyner-Ziv DVC) encodes for all areas of Wyner-Ziv frame indiscriminately based on Turbo or LDPC. In this kind of encoding process, with regard to violent motor area, decoder can't decode violent motor area accurately and also send more solicited message to feedback channel, which lowers the code efficiency and decodes inaccurately for violent motor area, it causes a part of area distortion in the image. In this paper, a distributed video encryption algorithm is proposed which based on discrete cosine transform (DCT). The algorithm combines decision criteria of ROI to get violent motor area and non-violent motor area. For violent motor area, to extract low frequency coefficient of DCT as DCT-R algorithm to assist decoder end to decode, decoder utilizes low frequency coefficient of DCT which has already been decoded to carry on bi-directional movement evaluation. Simulation experiment tests and verifies the improved algorithm effectiveness of proposed multi-view DVC in this paper.

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“…(Wireless Sensor Network is a no-center and selforganized network, and ZigBee is a standard which has been widely used in WSN.) Today, ZigBee is not only used to transmit general data, but also used to distribute multimedia streams, which brings a great deal of performance pressure to the ZigBee network [2].…”

Section: Introductionmentioning

confidence: 99%

A Routing Algorithm of ZigBee Network Based on Weighted Link and Node States

Jiang

Qiu

Chen

et al. 2012

2012 8th International Conference on Wireless Communications, Networking and Mobile Computing

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The ZigBee wireless sensor network is an important supporting technology of IoT (Internet of Things). For the reason that various applications of IoT may incur heavy traffic on the network of ZigBee, and the existing methods of constructing ZigBee topology routing tree fail to consider both the link configuration and the busy-degree of the node, so the existing routing algorithm should be optimized to advance the performance of the whole network. Aiming at the above shortcomings, this paper takes the busy-degree of the node, link quality and number of hops into account, and proposes a compositive weighted routing (CWR) algorithm. Experimental results on NS2 show us that the algorithm can improve the packet average arriving rate, decrease the packet average end-toend delay and keep energy balance among nodes.

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Multimedia sensor networks for ISR applications

Cited by 13 publications

References 9 publications

A Survey on QoS-Aware Secure Data Transmission in Multimedia Sensor Networks

A Survey on QoS-Aware Secure Data Transmission in Multimedia Sensor Networks

Multi-View Distributed Video Coding Based on Discrete Cosine

A Routing Algorithm of ZigBee Network Based on Weighted Link and Node States

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