Strategy of sensor nodes deployment is directly related to the cost and performance for underwater wirelesssensornetworks, which is largely determined the various service-quality improvement of wirelesssensor netwo...
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Strategy of sensor nodes deployment is directly related to the cost and performance for underwater wirelesssensornetworks, which is largely determined the various service-quality improvement of wirelesssensornetworks. In order to improve the coverage of the target area, this paper presents a distributed algorithm of coverage control. Assume that nodes initially deployed on the surface of the water and can only move in vertical direction in 3-D space, the algorithm is first to control the nodes in-depth and relocate the nodes at different depths, then the nodes continue to adjust their depths until there is no augment for improving their coverage, and to achieve efficient coverage of the three-dimensional sensornetworks ultimately. Experimental results show that compared with traditional random deployment method, the proposed coverage control algorithm can improve coverage of network effectively.
Because sensor nodes are typically resource-constrained, the key challenge in wirelesssensornetworks (WSNs) design is the energy-efficiency and how to deal with the trade-off between it and the QoS parameters. Data ...
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Data aggregation is one of the key technologies for wirelesssensornetworks applications. Data aggregation can cut down the data traffic, thereby reduce energy consumption, and extend the network lifetime. But the Qo...
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Spurred by the need of network monitoring and security, network traffic modeling is a much discussed research topic. However, the classical Markov flow model is no longer suitable for packet-switched network because o...
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Ethernet Ring Protection (ERP) introduced by ITU-T G.8032 Recommendation is a new type of packet-switched network protection technology, which can provide ring automatic protection switch. However, the Filtering Datab...
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Ethernet Ring Protection (ERP) introduced by ITU-T G.8032 Recommendation is a new type of packet-switched network protection technology, which can provide ring automatic protection switch. However, the Filtering Database (FDB) flush method adopted in the current ERP standard has the drawback of introducing a large amount of transient traffic overshoot caused by flooded Ethernet frames right after protection switching. In this article, we propose a G.8032 ERP scheme that uses FDB flush based on area to resolve this issue and investigate how the proposed scheme deals with the traffic flooding problem. The theoretical analysis and simulation show that the proposed scheme can effectively improve the performance of the Ethernet ring by decreasing the unnecessary FDB flush in comparison with the existing approaches.
Efficient video transmission over unreliable channels may encounter huge challenge due to unavoidable bit error or packets loss. Error concealment (EC) techniques at the decoder side have been developed to recover the...
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Incorporating cognitive radio capability in recource-constrainted multihop wirelesssensornetworks may help realize the deployment of multiple overlaid sensornetworks, and eliminate collision and excessive contentio...
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A new scheme of object tracking with mean shift is put forward in this paper. At first, texture feature is fused in the processing by Local Ternary Pattern (LTP). Since LTP is sensitive to local noise, least median of...
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A new scheme of object tracking with mean shift is put forward in this paper. At first, texture feature is fused in the processing by Local Ternary Pattern (LTP). Since LTP is sensitive to local noise, least median of squares (LMedS) algorithm is used to adaptively calculate the noise threshold for accurate estimation of the LTP texture information. Furthermore, target scale and orientation is estimated in case of partial occlusion or rotation, so as to realize robust object tracking. Experimental results show that the proposed algorithm can acquire robust tracking performance under complex background .
In this work, with respect to the uncertainty about the individual information, we investigate the relay power allocation problem from the energy-efficient, Pareto optimal, and competitive fairness perspective. At fir...
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ISBN:
(纸本)9781467309202
In this work, with respect to the uncertainty about the individual information, we investigate the relay power allocation problem from the energy-efficient, Pareto optimal, and competitive fairness perspective. At first, we design an easy-implementation energy efficiency metric, which aims at striking a balance between the QoS provisioning and the energy consumption. Then, an auction mechanism is proposed for relay power allocation. By transferring the auction mechanism into a game, we prove the existence, uniqueness, and Pareto optimality of the Nash equilibrium (NE) for our auction game, and show that the allocation strategies from the NE can achieve the energy efficiency in terms of the proposed metric. Next, we develop a distributed relay power allocation algorithm based on our best-response functions to reach the Pareto optimal NE. Importantly, we not only certify the convergence of the proposed algorithm, but also provide quantitative analysis on it. Extensive simulations results are conducted to confirm the validity of the analytical results.
The primary issue in dynamic cloud computing environments is how to select and schedule the ideal and different cloud resources to cooperation in order to guarantee the requirements of applications. This paper propose...
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The primary issue in dynamic cloud computing environments is how to select and schedule the ideal and different cloud resources to cooperation in order to guarantee the requirements of applications. This paper proposed a novel cloud services selection algorithm for hierarchy evaluation of SLA, which is selecting the proper resources to compromise services. The service level agreement can only ensure completion of the application. Through fuzzing the SLA attribute, this paper conducted a non-deterministic evaluation on the SLA attribute data provided by cloud service providers using variable weights. Based on the relationships among different SLA attributes, a better cloud service will be selected in a Service Oriented Architecture. The experimental results show the effectiveness of the algorithm: there is no force in the relationship between sub-tasks in the case, each cloud resource and service providers can effectively reduce the cost of application based on recommendations;with the introduction of mandatory use of strong relationships and recommendation of service resources, the effectiveness of the application is ensured while reducing the total consumption of services;the right way to use fuzzy variable cloud resources involved in service evaluation will help to cut the cost of commercial cloud services and providing users with better services.
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