This study presents a novel embedded WiMAX-based vehicular router with a network mobility architecture that promotes the telematics services for ubiquitous/pervasive computing (UPC) environment anytime and anywhere. E...
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This study presents a novel embedded WiMAX-based vehicular router with a network mobility architecture that promotes the telematics services for ubiquitous/pervasive computing (UPC) environment anytime and anywhere. Each telematics user has to process the handoff procedure with the mobile IP mechanism. Therefore, the proposed WiMAX-based vehicular router can process more Telematics users for handoff procedures simultaneously. Network performances in terms of packet loss, round-trip time (RTT) and handoff latency are investigated and analyzed in this study. Compare with the traditional WiFi-based vehicular router, the embedded WiMAX-based vehicular router improves the packet loss about 36% and the average RTT is decreased by approximately 34%. Based on the handoff latency analysis, the embedded WiMAX vehicular router has the superior performance using the mobile network with the embedded router when there are more than two Telematics users.
We study the multicast capacity for hybrid wireless networks consisting of ordinary wireless nodes and base stations under Gaussian Channel model, which generalizes both the unicast capacity and broadcast capacity for...
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ISBN:
(纸本)9781424444816
We study the multicast capacity for hybrid wireless networks consisting of ordinary wireless nodes and base stations under Gaussian Channel model, which generalizes both the unicast capacity and broadcast capacity for hybrid wireless networks. We simply consider the hybrid extended network, where the ordinary wireless nodes are placed in the square region A(n) with side-length n~(1/2) according to a Poisson point process with unit intensity. In addition, m additional base stations (BSs) serving as the relay gateway are placed regularly in the region A(n) and they are connected by a high-bandwidth wired network. Three broad categories of multicast strategies are proposed in this paper. According to the different scenarios in terms of m, n and n_d, we select the optimal scheme from the three categories of strategies, and derive the achievable multicast throughput based on the optimal decision.
systems engineering often involves computer modelling the behaviour of proposed systems and their components. Where a component is human, fallibility must be modelled by a stochastic agent. The identification of a mod...
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systems engineering often involves computer modelling the behaviour of proposed systems and their components. Where a component is human, fallibility must be modelled by a stochastic agent. The identification of a model of decision-making over quantifiable options is investigated using the game-domain of Chess. Bayesian methods are used to infer the distribution of players' skill levels from the moves they play rather than from their competitive results. The approach is used on large sets of games by players across a broad FIDE Elo range, and is in principle applicable to any scenario where high-value decisions are being made under pressure.
Parallel rendering algorithms usually suffer from high load imbalance during execution, due to the irregular nature of the datasets. In this paper, we propose a new load balancing scheme for tile-based parallel render...
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Parallel rendering algorithms usually suffer from high load imbalance during execution, due to the irregular nature of the datasets. In this paper, we propose a new load balancing scheme for tile-based parallel rendering that includes strategies for load estimation, tile decomposition and tile assignment. The load estimation strategy computes the rendering cost for each pixel, and uses it as a prediction for the next frame. The tile decomposition strategy adaptively divides the screen into tiles based on the computed costs, until an evenly tile partition is achieved. The tile assignment strategy distributes the tiles among rendering processors, based on a 2-optimal scheduling. Experimental results show that our scheme achieves significant performance gains by reducing the load imbalance when compared to the traditional tile subdivision and static random distribution schemes.
In summary, the improved characteristics in terms of EOT, D;t, SILC, and trap energy level are demonstrated by developing proper La¿Ta¿ doping into HfON dielectrics.
In summary, the improved characteristics in terms of EOT, D;t, SILC, and trap energy level are demonstrated by developing proper La¿Ta¿ doping into HfON dielectrics.
For the current technique, the tuning latency ¿ on each transmitter is more than the packet transmission time, and it cannot be ignored in packet scheduling. So in order to reduce the serious affection of tuning ...
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For the current technique, the tuning latency ¿ on each transmitter is more than the packet transmission time, and it cannot be ignored in packet scheduling. So in order to reduce the serious affection of tuning operations, we propose the multi-hop model for the All-to-All Broadcast (AAB) problem in WDM optical star networks with N nodes and w available wavelengths, which the number of hop distance for packet transmissions is limited to a constant ¿. Our strategy can overlap the tuning latency in multi-hop scheduling, and reduce the number of tuning operations on each transmitter to 2¿(w - 1)/¿¿. If ¿ can be completely covered in scheduling, the schedule length is k(k - 1) + ¿ + 2¿(w-1)/¿¿[k 2 ¿(¿+1)/2] time slots, where k = N/w. Otherwise, it is k(k - 1) + ¿ + 2¿(w-1)/¿¿[k¿(¿+1)/2 + ¿] slots. Our proposed method is very suitable for the scalable WDM networks if the number of wavelength is fixed, and its multi-hop schedule length is shorter than that of other scheduling approaches if k is small or ¿ is larger.
This paper addresses the design of multi-hop packet transmissions for the All-to-All Broadcast (AAB) problem in a Wavelength Division Multiplexing (WDM) optical star network. To decrease the optical-electronic-optical...
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This paper addresses the design of multi-hop packet transmissions for the All-to-All Broadcast (AAB) problem in a Wavelength Division Multiplexing (WDM) optical star network. To decrease the optical-electronic-optical (O/E/O)transformations in multi-hop scheduling, the maximum of hop distances of each packet transmission is limited to a constant. Each node consists of a tunable transmitter and a fixed-tuned receiver (TT-FR configuration), and each tunable transmitter needs a non-negligible tuning latency to switch between different wavelengths. To decrease the influence of the tuning latency in multi-hop scheduling and the time of tuning operations on each transmitter, we adopt simpler methods for constructing less logical topologies when all tunable transmitters change their transmitted wavelengths to other channels in scheduling concurrently. Our multi-hop scheduling has not only a shorter schedule period but also a less number of transmitted wavelengths used.
Reputation is turning to be one of the most important concerns in online social networks. Users in such environments extend their activity area with respect to the possible updates on their reputation level. In this p...
Reputation is turning to be one of the most important concerns in online social networks. Users in such environments extend their activity area with respect to the possible updates on their reputation level. In this paper, we propose a probabilistic model of reputation cascade through the network. This model helps users to select the best possible choice of interaction. Furthermore, we also provide a game theoretic approach to analyze the model.
This paper presents the capability of genetic algorithm (GA) technique in obtaining the optimal machining parameters for uncoated carbide (WC-Co) tool to minimize the surface roughness (R a ) value in milling process....
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This paper presents the capability of genetic algorithm (GA) technique in obtaining the optimal machining parameters for uncoated carbide (WC-Co) tool to minimize the surface roughness (R a ) value in milling process. The optimal machining parameters are generated using MATLAB optimization toolbox. Regression technique is applied to create the surface roughness predicted equation to be taken as a fitness function of the GA. Result of this study indicated that the GA technique capable to estimate the optimal cutting conditions that yields to the minimum R a value. With high speed, low feed and high radial rake angle of the cutting conditions rate, GA technique recommended 0.17533 mum as the best minimum predicted surface roughness value. Consequently, the GA technique has decreased the minimum surface roughness value of the experimental data by about 25.7%.
Learning Object (LO) is one of the main research topics in the E-Learning community in the recent years, and most researchers pay attention to the issue of Learning Object Reusability. The most obvious motivation is t...
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Learning Object (LO) is one of the main research topics in the E-Learning community in the recent years, and most researchers pay attention to the issue of Learning Object Reusability. The most obvious motivation is the economic interest of reusing learning material instead of repeatedly authoring it. Reusability requires the LO to be in a fine-grain form because raw media elements are often much easier to reuse than aggregate assemblies. In other words, as the LO size decreases (lower granularity), its potential for reuse increases. Therefore, when designing learning objects, reusability must be considered as a key consideration. This paper shows how we adapted and applied some of the metrics from the software engineering field for the purpose of measuring reusability of learning objects.
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