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Body sensors have gained increasing interest during the past several years. With more applications deployed, it is imperative to ensure the success of data analysis, which largely depends on data transmission reliability as well as the importance of samples received. Traditional approaches focus on improving data reliability through various schemes such as prioritization of MAC access. In this paper,...
With limited bandwidth and high channel loss in wireless body area networks (WBANs), it remains a challenging issue to transmit time series body sensor data for satisfactory data analytics. In this paper, we investigate the interesting problem of sample packetization, i.e., assembling multiple samples in each packet before transmission over the wireless link. We first illustrate the ineffectiveness...
We investigate the optimization of asynchronous multimedia multicast to heterogenous users. A priority encoding transmission (PET) based packetization scheme in combination with rateless coding has recently been proposed for multicasting. In previous work, a suboptimal greedy search algorithm is proposed to find the allocation of source symbols over different layers. However, the complexity of the...
We study the design and optimization of unequal error protection (UEP) rateless codes for scalable multimedia multicasting. We formulate two general problems of optimizing UEP rateless code for multimedia multicasting to heterogenous users: one focusing on providing guaranteed quality of service (QoS) and the other focusing on providing best-effort QoS. A random interleaved rateless encoder design...
Fountain codes are a class of recently proposed efficient erasure error-control codes. However, the original design of fountain codes, despite being highly efficient for erasure channels, has very poor progressive decoding performance. The purpose of this paper is to design and optimize unequal error protection (UEP) fountain codes to maximize the throughput of multimedia communication systems while...
Due to the problems of heterogeneous data and platforms, abundant functional and QoS requirements, high data size, and tangling correlation between data/contents and software functionalities, developing large-scale biomedical multimedia database systems is a challenging task. This paper presents a semantics- and data-driven service-oriented architecture (SOA) to take the interoperability and scalability...
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