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Resources optimization of cross-layer is a typical multi-objective optimization problem. In this paper, an adaptive clone and neighbor selection algorithm is proposed to resolve optimization resources allocation in cognitive radio networks (CRNs). The algorithm uses the adaptive cloning operator, neighborhood search operator to improve the performance of algorithm. Simulation comparisons for typical...
A network traffic system can be tuned by three factors: (i) the topology of underlying infrastructure; (ii) the distribution of traffic resources; (iii) the routing strategy. In this paper, we propose a model to study the optimization of network capacity based on complex network theory. We study the optimization method of network traffic in several situations corresponding to the real cases. The model...
The quantized measurement fusion problem for target tracking in wireless sensor networks (WSNs) is investigated. Due to the limited energy and bandwidth, each activated node quantizes and then transmits the local measurements by probabilistic quantization strategy. The fusion center (FC) estimates the target state in a dimension compression way instead of merging all the quantized messages to a vector...
In this paper we focus on optimizing compute and memory-bandwidth-intensive GMM computations for low-end, small-form-factor devices running on GPU-like parallel processors. With special emphasis on tackling the memory bandwidth issue that is exacerbated by a lack of CPU-like caches providing temporal locality on GPU-like parallel processors, we propose modifications to three well-known GMM computation...
We consider the problem of maximizing network revenue from the perspective of bandwidth allocation and route selection. The objective is to perform offline maximization of revenue from served demands in the context of self-similar (long range dependent) traffic. We use an alpha-stable distribution for the aggregate demand volume to capture the appropriate level of traffic burstiness. We take a centralized...
In a peer-to-peer (P2P) live streaming system, the streaming quality of an end user is much affected by the aggregate download bandwidth from the partners. In this paper, we propose a stochastic model for the P2P streaming system to analyze the asymptotic probability distribution of the aggregate download bandwidth of a peer. Using renewal theory, we derive a close form expression for the asymptotic...
Since the common microstrip power dividers are generally low power devices, in this paper a modified wideband Gysel power divider is proposed, which possesses high power handling capabilities and arbitrary power division. The proposed divider configuration has the provision of heat transfer by resistors connected to the ground plane through vias. The divider structure is devised in such a way that...
Multipath inter-domain routing can solve many technical flaws which have been exposed in BGP, but the market-driven factors have more direct relationship with its deployment. In order to analyze impact of these market-driven elements, this paper established an optimization model for Internet service provider (ISP) revenues based on user's utility function. Then, the solution using Lagrange multiplier...
Wireless networks will certainly run applications with strict QoS requirements and so, micro-mobility protocols such as fast hierarchical mobile IPv6 (FHMIP) are useful tools to accomplish this new feature. The FHMIP is an effective scheme to reduce Mobile IPv6 handover disruption, however it does not support application's QoS requirements. Therefore, in order to provide QoS guarantees for real-time...
In wireless networks, the limited available bandwidth combined with varying signal propagation conditions make it necessary to pursue optimization across all layers of the protocol stack in order to boost the achievable throughput. One of the optimization strategies that is deemed to be effective is to dynamically adjust the packet size either to better suit the channel conditions or to minimize the...
When applied in a commercial deployment, DHT-based P2P protocols face a dilemma: although most real-world participants are so unstable that the maintenance overhead is prohibitively high, they must be effectively utilized due to the lack of stable participants. Thus, determining how to leverage unstable nodes to enhance system scalability and then maximize stability in high-churn scenarios becomes...
In recent years, BitTorrent file distribution network has been more and more widely used for media file distribution. Its build-in resource scheduling policies (local rare first, tit-for-tat, etc.) work well in file distribution in single swarm environments. However, the resource scheduling policy is missing in multiple swarms environments and the resource utilization has not been optimized. In this...
Many techniques are proposed recently to avoid the performance degradation caused by the channel dispersion using slow frequency hopping (SFH) patterns. Matched frequency hopping (MFH) and clipped matched frequency hopping (CMFH) signals have been proposed as an efficient channel-aware signaling technique in slowly fading dispersive channels. An improved technique is presented in this paper by optimizing...
Next Generation Networks (NGN) are envisaged to see a vast and inevitable convergence of diverse multimedia and mobile services with versatile bandwidth utilities. As such, a design challenge for NGN is to allow efficient rate allocation without compromising Quality of Service (QoS) provisioning to any service and thereby enable a global welfare gain. However, the traditional rate allocation schemes...
Conventionnal ultrasound contrast imaging systems use a fixed transmit frequency. However it is known that the insonified medium (microbubbles) is time-varying and therefore an adapted time-varying excitation is expected. We suggest an adaptive imaging technique which selects the optimal transmit frequency that maximizes the contrast tissue ratio (CTR). Two algorithms have been proposed to find an...
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represented as a parametrized surface represented by a set of parameters that are defined on the input samples. The representation also provides a natural mapping from high to low dimensional space, and a concatenation of these two...
Large-scale deployment of multicast applications is limited by the number of states that are set in routers for multicast groups. As a new approach to multicast state reduction, aggregated multicast forces multiple multicast groups sharing a common distribution tree. An ant colony optimization algorithm to aggregated multicast is proposed. Inspired by bin packing problem, relative fullness is used...
One of the challenging problems in application-specific networks-on-chip (ASNoC) design is customizing the topological structure of the on-chip network in order to meet the application requirements with the minimum possible cost. In this paper, the area cost of ASNoCs is reduced by using network partitioning techniques. Given the application core graph, the partitioning problem is formulated as an...
The multi-core processors are being widely exploited by many high-end systems and leveraging throughput and scalability. Due to the availability of boosting many concurrent processes, not only the parallel programs but also network server programs can benefit tremendously from multi-core processors. In spite of many researches, modern operating systems still have significant design and optimization...
In recent years application-level networking (e.g. overlay networks, P2P networks) has become key enabling architecture for supporting distributed services on the Internet. We consider overlays to have delay and cost requirements and thus there exists an optimal distribution of the overlay traffic (the service engineering problem) across multi-domain underlay networks such that these requirements...
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