A novel MPEG-4 video cross-layer algorithm (MVCLA) is applied in the wireless network platform to approach the higher quality of service (QoS) in various prioritised traffic flow of MPEG-4 video applications. Even the...
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A novel MPEG-4 video cross-layer algorithm (MVCLA) is applied in the wireless network platform to approach the higher quality of service (QoS) in various prioritised traffic flow of MPEG-4 video applications. Even the popular availability of delivering the wireless network access data by the enhanced distributed coordination access (EDCA) mechanism function, the proposed MVCLA considers two variant conditions (i.e., data packets and network traffic load) to tune the contention-based parameters of cross-layers. The queue space does not effectively resume the transmission quality for the most important video media when the traffic flow is heavy. Our proposed regulation way dynamically retained the most important image traffic flow information in various conditions. The access control (AC) queue is flexibly allocated for the transmission purposes while the network channel is busy. The novel tuning algorithm is not only to ensure the high-speed for the most important packets to pull up the QoS level in several video transmission applications, but also efficiently provide the higher utilisation of the queue length. Finally, higher QoS of MPEG-4 video application is actually to verify the great simulation by the developed MVCLA.
There has emerged lots of interests in the resource allocation of the relay-enhanced orthogonal frequency division multiplexing (OFDM) system. Most of the existing research works are with the aim to maximise the trans...
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There has emerged lots of interests in the resource allocation of the relay-enhanced orthogonal frequency division multiplexing (OFDM) system. Most of the existing research works are with the aim to maximise the transmit rate of the system. However, few of them have taken into account the fairness requirements. In order to achieve the trade-off between the system transmit rate and user fairness, this study originally studies the optimality of proportional fairness (PF) in a downlink relay-enhanced OFDM system, where one source communicates with multiple destinations by the aid of one or many relays. We investigate the joint subcarrier and power allocation problem with PF constraint. Firstly, the resource allocation problem is formulated. Then, the problem is studied in the framework of concave maximisation. By using mathematical decomposition techniques, the optimisation problem is decomposed into multiple-layer subproblems which can be resolved efficiently. With this method, a cross-layer algorithm is derived to achieve the near optimal solution. Finally, numerical results are illustrated. Compared to the existing schemes, our proposed algorithm can both maximise the sum of logarithmic per user average transmit rate and enhance the system transmit rate.
The problem of the scheduling of the multiuser H.264 video transmission over wireless networks is addressed in this work. A cross-layer algorithm, including the application (APP) layer, the media access control (MAC) ...
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The problem of the scheduling of the multiuser H.264 video transmission over wireless networks is addressed in this work. A cross-layer algorithm, including the application (APP) layer, the media access control (MAC) layer and the physical (PHY) layer, is presented. More especially, a compressed method is proposed to estimate the video quality contribution caused by each packet in the APP. The objective is to maximising video qualities by satisfying the delay constraint and the fairness among all users. The algorithm is compatible with the emerging wireless standards, such as IEEE 802.16 and high speed downlink packet access (HSDPA). Simulations show that the proposed scheme significantly outperforms the conventional scheduling schemes in terms of received video qualities as well as the fairness properties.
To solve the problem of low-efficiency channel allocation due to the high density of nodes in traditional wireless sensor networks (WSNs), a channel allocation method based on dual-population differential evolution is...
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To solve the problem of low-efficiency channel allocation due to the high density of nodes in traditional wireless sensor networks (WSNs), a channel allocation method based on dual-population differential evolution is proposed. In our paper, the crossover and mutation operations of the differential evolution algorithm are analysed;multichannel mutation crossover optimisation is proposed by combining a differential evolution algorithm with a dual-population search method. Anti-interference optimisation is carried out for different network levels with a certain capacity, considering the time slot parameter interference degree, link capacity, and multichannel cross-layer analysis. According to the multichannel mutation cross-optimisation method, the constraint conditions are determined, the channel is divided, and a linear membership function is constructed to perform channel allocation. The experimental results show that when the mutation parameter and crossover probability of two-population differential evolution are 0.1 and 0.6, respectively, the channel allocation efficiency of the proposed method is the highest, and the shortest channel allocation time is 3.4 s.
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