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14篇 您的检索式:作者名="Meikang"
    题名 作者 年代 出处 被引量
1Energy-aware routing for delay-sensitive underwater wireless sensor networks显示文摘The energy reduction is a challenging problem in the applications of underwater wireless sensor networks(UWSNs). The embedded battery is difficult to be replaced and it has an upper bound on its lifetime.Multihop relay is a popular method to reduce energy consumption in data transmission. The energy minimum path from source to destination in the sensor networks can be obtained through the shortest path algorithm.However, because of the node mobility, the global path planning approach is not suitable for the routing in UWSNs. It calls for an energy-efficient routing protocol for the high dynamic UWSNs. In this paper, we propose the modified energy weight routing(MEWR) protocol to deal with the energy-efficient routing of delaysensitive UWSNs. MEWR is a low flooding routing protocol. It can tolerate the node mobility in UWSNs and achieve a low end-to-end packet delay. MEWR can provide lower energy consumption than the existing low delay routing protocols through the dynamic sending power adjustment. The simulation results demonstrate the effectiveness of MEWR.ZHANG SenLin WANG ZiXiang LIU MeiQin QIU MeiKang 2014Science China(Information Sciences)2014,57,10:2
2Online optimiza-tion for scheduling preemptable tasks on IaaS cloud sys-tems显示文摘Li J Y Qiu Meikang Ming Zhong 2012Journal of Parallel and Distributed Computing2012,72,2:1
3Multimedia lay- out adaptation through grammatical specifications显示文摘ZHANG Kang KONG Jun QIU Meikang 2005ACM/ Springer Multimedia Systems2005,10,3:1
4Dynamic energy- aware cloudlet-based mobile cloud computing model for green com- puting显示文摘KEKE GAI MEIKANG QIU HUI ZHAO 2016Journal of Network and Computer Applications2016,59,1:1
5Online optimization for scheduling preemptable tasks on IaaS cloud systems显示文摘Jiayin Li Meikang Qiu Zhong Ming Gang Quan Xiao Qin Zonghua Gu 2012Journal of Parallel and Distributed Computing2012,,5:1
6Online opti- mization for scheduling preemptable tasks on IaaS cloud systems 显示文摘Li Jiayin Qiu Meikang Zhong Ming 2012Journal of Parallel and Distributed Compu- ting2012,72,5:1
7Review on cloud computing: Design challenges in architecture and security显示文摘Fei Hu Meikang Qiu Jiayin Li etal 2011Journal of Computing and Information Technology2011,19,1:1
8Online Optimization for Scheduling Preemptable Tasks on IaaS Cloud Systems显示文摘Jiayin Li Meikang Qiu Zhong Ming 0,,05:1
9Secure wireless communication system for smart grid with rechargeable electric vehicles显示文摘Hai Su Meikang Qiu Honggang Wang 2012IEEE Communications Magazine2012,50,8:1
10Exponential H∞ synchronization of general discrete-time chaotic neural networks with or without time delays 显示文摘Qi Donglian Liu Meiqin Qiu Meikang 2010IEEE Trans Neural Networks2010,21,8:1
11Online optimization for scheduling preemptable tasks on laaS cloud systems显示文摘LI J Y Q1U Meikang ZHONG Ming 2012Joumal of Parallel and Distributed Computing2012,72,2:1
12Composite silicon film with connected silicon nanowires for lithium ion batteries显示文摘Zhongsheng Wen Meikang Cheng Juncai Sun Liang Wang 2010Electrochimica Acta2010,,1:1
13Review on cloud computing: Design challenges in architecture and security显示文摘Fei Hu Meikang Qiu Jiayin Li etal 2011Journal of Computing and Information Technology2011,19,1:1
14Smart data deduplication for telehealth systems in heterogeneous cloud computing显示文摘The widespread application of heterogeneous cloud computing has enabled enormous advances in the real-time performance of telehealth systems.A cloud-based telehealth system allows healthcare users to obtain medical data from various data sources supported by heterogeneous cloud providers.Employing data duplications in distributed cloud databases is an alternative approach for achieving data sharing among multiple data users.However,this approach results in additional storage space being used,even though reducing data duplications would lead to a decrease in data acquisitions and real-time performance.To address this issue,this paper focuses on developing a dynamic data deduplication method that uses an intelligent blocker to determine the working mode of data duplications for each data package in heterogeneous cloud-based telehealth systems.The proposed approach is named the SD2M(Smart Data Deduplication Model),in which the main algorithm applies dynamic programming to produce optimal solutions to minimizing the total cost of data usage.We implement experimental evaluations to examine the adaptability of the proposed approach.GAI Keke QIU Meikang SUN Xiaotong ZHAO Hui 2016Journal of Communications and Information Networks2016,1,4:0
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