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Titlebook: Quality, Reliability, Security and Robustness in Heterogeneous Systems; 13th International C Lei Wang,Tie Qiu,Wenbing Zhao Conference proce

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樓主: Cyclone
11#
發(fā)表于 2025-3-23 12:43:22 | 只看該作者
Conference proceedings 2018 in Heterogeneous Networks, QShine 2017, held in Dalian, China, in December 2017. The 25 revised full papers were carefully reviewed and selected from 43 submissions. The papers are organized thematically in tracks, starting with mobile and wireless networks, quality and reliability, wireless networ
12#
發(fā)表于 2025-3-23 15:38:18 | 只看該作者
Performance Analysis for Content Distribution in Crowdsourced Content-Centric Mobile Networkingiders content retrieve time and energy cost. Further, we analysis the upper bound and lower bound of the proposed system in term of user payoff, which can be a benchmark for the future scheduling algorithms and incentive mechanisms design.
13#
發(fā)表于 2025-3-23 19:59:14 | 只看該作者
14#
發(fā)表于 2025-3-23 22:30:06 | 只看該作者
Key Technologies of MEC Towards 5G-Enabled Vehicular Networksthe scheme of mobile vehicle cloud (MVC)-aided communication, and examine the network performance including computing resource allocation by MEC and link performance. The numerical results show that the network performance is improved effectively.
15#
發(fā)表于 2025-3-24 03:21:59 | 只看該作者
16#
發(fā)表于 2025-3-24 09:37:51 | 只看該作者
17#
發(fā)表于 2025-3-24 10:42:07 | 只看該作者
18#
發(fā)表于 2025-3-24 15:32:49 | 只看該作者
Coordinate-Free Boundary Nodes Identification by Angle Comparison in Wireless Sensor Networksoblems of QoS in a network. Most of the existing solutions for this problem rely on the usage of coordinates or a relatively even distribution of sensors on the underlying network. However, as equipping localization devices on sensors usually means considerably higher cost, coordinates are often una
19#
發(fā)表于 2025-3-24 21:43:55 | 只看該作者
Community Preserving Sign Prediction for Weak Ties of Complex Networksed on the sign prediction of weak ties. A community preserving sign prediction model is therefore proposed to predict the sign of the weak ties. Nodes are firstly divided into different communities. The weak ties are then detected via the connections of the divided communities. SVM classifier is fin
20#
發(fā)表于 2025-3-25 01:43:29 | 只看該作者
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