In this paper, we explore the impact of network parameters on perceptual quality of network video. First we present an experiment to measure the network parameters of video in the presence of different network bandwid...
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ISBN:
(纸本)9781479904631
In this paper, we explore the impact of network parameters on perceptual quality of network video. First we present an experiment to measure the network parameters of video in the presence of different network bandwidth. Then we propose a no-reference video quality assessment method based on Media delivery index (MDI). M5' model tree, a data mining method which is good for segmental linearization of single-output multi-output system, was introduced to model the assessment method and its parameters. For all experimental data examined, our method yields high Pearson Correlation (higher than 0.95) with measured mean opinion score (MOS).
Trust and reputation systems play important roles in supplier selection, a topic that has been widely investigated from a business and operation point of view. However, we still lack of effective studies on supplier s...
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ISBN:
(纸本)9781479914449
Trust and reputation systems play important roles in supplier selection, a topic that has been widely investigated from a business and operation point of view. However, we still lack of effective studies on supplier selection with security as the optimal target, which is a very important factor for Information and Communication Technology (ICT) systems. In response, this paper outlines a method that enables people to evaluate the relative and objective trustworthiness of the alternative suppliers. Our analysis is based solely on the original data of the vulnerabilities publicly available from OSVDB and NVD, which are impossible to tamper with. They are then interpreted by an approach that combines the Analytic Hierarchy Process (AHP) and objective analysis that enables the inference of relative trust valuations based on different evaluation indexes. A case study of five well known vendors is demonstrated with qualitative comparison based on visualization of data.
RETE is the most efficient forward inference algorithm for the development of context-aware rule-based systems. The performance of context reasoning engines in context-aware systems depends mainly on the efficiency of...
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ISBN:
(纸本)9781479906314
RETE is the most efficient forward inference algorithm for the development of context-aware rule-based systems. The performance of context reasoning engines in context-aware systems depends mainly on the efficiency of the pattern matching in "Cognition-Execution Loop". Nowadays many real-world contexts from WoT (Web of Things) environments have data characteristics such as large amount, quick change and lots of constant operation, imposing a trade-off between the cost of time and space of RETE algorithm. Thus, in this paper RETE+ - an improved RETE network is proposed, capable of handling context from WoT environment, which actually includes different types of data for reasoning with new characteristics. RETE+ algorithm applies shortcut memory using LRU (Least-Recently-Used) algorithm to the matching process of alpha network and solves the problems of intensive computation with all the alpha nodes. This approach takes advantage of the LRU algorithm to select alpha nodes with the highest possibility to be executed, which considerably reduces the computation overhead. The proposed approach is applied to context reasoning engine and evaluated through contrast experiments using real-world WoT data. The case study and experimental analysis demonstrate the capability of the proposed algorithm.
Caching scheme will change the original feature of the network in Content Centric networking (CCN). So it becomes a challenge to describe the caching node importance according to network traffic and user behavior. In ...
Caching scheme will change the original feature of the network in Content Centric networking (CCN). So it becomes a challenge to describe the caching node importance according to network traffic and user behavior. In this work, a new metric named Request Influence Degree (RID) is defined to reflect the degree of node importance. Then the caching performance of CCN has been addressed with specially focusing on the size of individual CCN router caches. Finally, a newly content store space heterogeneous allocation scheme based on the metric RID across the CCN network has been proposed. Numerical experiments reveal that the new scheme can decrease the routing stretch and the source server load contrasting that of the homogeneous assignment and several graph-related centrality metrics allocations.
Content Centric networking (CCN) is one of the most promising future networkarchitectures. Current researches on CCN routing scheme mainly focus on finding the best single routing path and then transferring all the c...
Content Centric networking (CCN) is one of the most promising future networkarchitectures. Current researches on CCN routing scheme mainly focus on finding the best single routing path and then transferring all the content chunks along this path. For an Interest packet who should have had opportunities to be routed along multiple paths to reach more repositories but only been routed along one single path due to the single path routing scheme, the problems of low utilization of the network resources and unbalance of the load of the faces and repositories are caused. This paper focuses on how to make best use of multiple paths to route the Interests, and further transfer different chunks of the content back along the paths. According to the different network-status parameters, a Multi-path Interests Routing (MIR) scheme is proposed for CCN routing, which is based on Analytical Hierarchy Process (AHP). AHP is a method for obtaining the optimized result of the Interest packets allocation. The simulation experiments have been performed to evaluate the proposed scheme in terms of a wide range of performance metrics. The results show that the proposed scheme significantly outperforms existing scheme.
Recently, echo state networks (ESN) have aroused a lot of interest in their nonlinear dynamic system modeling capabilities. In a classical ESN, its dynamic reservoir (DR) has a sparse and random topology, but the ...
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Recently, echo state networks (ESN) have aroused a lot of interest in their nonlinear dynamic system modeling capabilities. In a classical ESN, its dynamic reservoir (DR) has a sparse and random topology, but the performance of ESN with its DR taking another kind of topology is still unknown. So based on complex network theory, three new ESNs are proposed and investigated in this paper. The small-world topology, scale-free topology and the mixed topology of small-world effect and scale-free feature are considered in these new ESNs. We studied the relationship between DR architecture and prediction capability. In our simulation experiments, we used two widely used time series to test the prediction performance among the new ESNs and classical ESN, and used the independent identically distributed (i.i.d) time series to analyze the short-term memory (STM) capability. We answer the following questions: What are the differences of these ESNs in the prediction performance? Can the spectral radius of the internal weights matrix be wider? What is the short-term memory capability? The experimental results show that the proposed new ESNs have better prediction performance, wider spectral radius and almost the same STM capacity as classical ESN's.
Graph-coloring based spectrum resource allocation scheme for relay enhanced cellular (REC) system is proposed in this paper. During the signal transmission process, each subframe is split into two equal time slots (TS...
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ISBN:
(纸本)9781479904631;9781479904631
Graph-coloring based spectrum resource allocation scheme for relay enhanced cellular (REC) system is proposed in this paper. During the signal transmission process, each subframe is split into two equal time slots (TSs). In TS1, spectrum resource allocation between base station to relay node (BS-RN) link and base station to user equipment (BS-UE) link is studied, while spectrum resources in TS2 are allocated to BS-UE link and RN-UE link. In TS1, traffic load based resource allocation scheme is applied, where the number of resources allocated to BS-RN link is according to the number of one-hop users and two-hop users. In TS2, co-channel interference is considered in the resource allocation process, which can mitigate strong interference between BS and UE, so as to achieve a higher data rate compared with conventional proportional fair (PF) resource allocation scheme. Simulation results show that the proposed scheme can obtain high average throughput as well as user fairness.
Relay selection scheme with multiple source-destination pairs and multiple potential relays in cooperative relay networks considering co-channel interference (CCI) is proposed in this paper. In cooperative relay netwo...
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ISBN:
(纸本)9781479904631;9781479904631
Relay selection scheme with multiple source-destination pairs and multiple potential relays in cooperative relay networks considering co-channel interference (CCI) is proposed in this paper. In cooperative relay networks, which relay nodes are selected has great impact on the system performance. It is an optimization problem for selecting suitable relay nodes. The exhaustive search can solve this problem but the complexity will increase factorially with the network size, i.e., the number of source-destination pairs and the number of relays in the network. This paper proposes a novel quantum particle swarm optimization (QPSO) based relay selection scheme which can maximize the system throughput of the cooperative relay networks but has less computational complexity. Simulation results show that QPSO based relay selection scheme has the ability to search global optimal solution compared with other relay selection schemes in the literature.
The multimedia broadcast and multicast services (MBMS) in 3GPP LTE is characterized by multicast broadcast single frequency network (MBSFN) operation. The multicast services are transmitted by single frequency network...
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The multimedia broadcast and multicast services (MBMS) in 3GPP LTE is characterized by multicast broadcast single frequency network (MBSFN) operation. The multicast services are transmitted by single frequency network (SFN) mode, and the unicast services are delivered with point-to-point (PTP) mode. To minimize the demanded radio resources for multicast services in the LTE, a novel mode switch (MS) between SFN and PTP for multicast services is proposed. MS takes into account PTP mode for multicast services and the switch is based on the handover threshold. To solve the minimization problem, MS adapts the handover threshold with the difference in the demanded radio resources between SFN mode and PTP mode for multicast services. The simulation results show that the proposed MS achieves less demanded radio resources than SFN mode for all the multicast services.
The interference problem is a bottleneck of femtocell development as more and more femtocells are deployed. This paper considers interference from macro-cell as well as femtocells and puts forward a novel interference...
The interference problem is a bottleneck of femtocell development as more and more femtocells are deployed. This paper considers interference from macro-cell as well as femtocells and puts forward a novel interference avoidance scheme. The proposed scheme employs cognitive radio technology which can sniff the resources usage to obtain the real-time environment information, and then allocates the frequency resources to femtocell network. In this way, interference mitigation is fulfilled. Simulations verify that the proposed scheme is able to achieve higher capacity and lower interference than the classical dedicated channel and cochannel deployment schemes.
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