network virtualization, known as a promising technique, has emerged as an effective method to overcome the ossification of the Internet. By enabling the co-existence of multiple heterogeneous Virtual networks (VNs) ov...
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ISBN:
(纸本)9781479964123
network virtualization, known as a promising technique, has emerged as an effective method to overcome the ossification of the Internet. By enabling the co-existence of multiple heterogeneous Virtual networks (VNs) over a shared infrastructure, network virtualization exhibits better flexibility. A crucial problem is Virtual network Embedding (VNE), namely embedding the virtual networks to the substrate network efficiently. Because it is an NP-hard problem, many heuristic algorithms have been developed. However, their efficiency is not high, which makes them unsuitable for real-time multimedia services. Thus, we propose an efficient virtual network embedding algorithm based on subgraph, which takes the load status of substrate links and the network connectivity into consideration. With the proposed algorithm, the computation complexity is reduced and the processing time for each request is shortened. Our simulation results reveal the better efficiency of the proposed algorithm compared to the existing ones.
With the growing popularity of smart phones and the rapid development of Internet, the traditional network management system cannot adapt itself to the requirement intelligently. If we can use historic data to predict...
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ISBN:
(纸本)9781479964123
With the growing popularity of smart phones and the rapid development of Internet, the traditional network management system cannot adapt itself to the requirement intelligently. If we can use historic data to predict the trend of network traffic accurately, a better planning of network is more likely to be made and limited resource can be allocated and scheduled reasonably. However, massive amounts of data collected by network operators cannot be effectively processed. Therefore, in this paper, we design a network traffic prediction system based on Hadoop platform to process the real mobile network traffic data for a major network operator in China. With the Echo State network (ESN), a new kind of Recurrent Neural network (RNN) structure, the system can make accurate predictions of traffic variation trend for various network applications.
Cellular towers capture logs of mobile subscribers whenever their devices connect to the network. When the logs show data traffic at a cell tower generated by a device, it reveals that this device is close to the towe...
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To avoid performance fluctuation of radio frequency identification (RFID) system while the tag is attached on objects with different materials, a platform-tolerant UHF RFID tag antenna with stable high gain is propose...
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ISBN:
(纸本)9781467381710
To avoid performance fluctuation of radio frequency identification (RFID) system while the tag is attached on objects with different materials, a platform-tolerant UHF RFID tag antenna with stable high gain is proposed in this paper. The antenna is composed of an upper layer feeding loop and a lower layer planar dipole. Inductively coupling approach is adopted to feed, so that large mutual inductance could be introduced into the incident impedance of antenna, which enables great match between RFID chip and antenna. The coupling feeding method can also significantly decrease the impact on antenna impedance due to the introduced parallel capacity between radiation plane and platform. The realized results show that the antenna has an impedance bandwidth (S112 plate of aluminum, paper, copper, glass and air to be the platform, during these experiments the antenna gain varies less than 1dB. Compared with other cavity backed antenna or AMC, EBG based antenna, the antenna proposed in this paper has higher gain with an extremely simple structure which performs significant advantage for mass production.
Exponentially growing demand on mobile data facilitates the need to increase spectrum efficiency and also to gain access to additional spectrum bands. LTE-U provides a way for LTE service to be provided, in some regul...
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Increasingly growing various multimedia services (e.g., interactive live video and so on) have brought tremendous pressure on existing static defense techniques. To cope with inherent drawback of static defense techni...
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With the rapid development of mobile Internet, the way users access the network becomes diverse, which provide much convenience for us to collect huge amount of users' information. In this paper, we present a mode...
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ISBN:
(纸本)9781509022199
With the rapid development of mobile Internet, the way users access the network becomes diverse, which provide much convenience for us to collect huge amount of users' information. In this paper, we present a model of measuring relationship between two users in campus and build a wireless data analysis system called WiCloud to verify our model. This work has several potential applications such as recommendation, advertisement targeting, and privacy protection. A novel method using decision tree model, which is usually used for decision analysis, is proposed to measure the relationship between two users in wireless network. Experiments results on real datasets validate our ideas and verify the feasibility and efficiency. Experimental results show that the accuracy of the training set is 100%, while the accuracy of the test set is 88.9%.
Wi-Fi technology is becoming more and more popular and anomaly detection for user behavior is much required in many fields such as public security, therefore anomaly detection for offline user behavior based on Wi-Fi ...
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ISBN:
(纸本)9781467372121
Wi-Fi technology is becoming more and more popular and anomaly detection for user behavior is much required in many fields such as public security, therefore anomaly detection for offline user behavior based on Wi-Fi is attracting many researchers' attention. There are already some researches in anomaly detection focusing on single user behavior, while the distribution of group user behaviors is considered in this paper. A novel method using cross entropy model which is usually used for networking attacking in computer network is proposed to detect anomalies of offline user behavior in wireless network. Moreover, to make the anomaly detection availab.e in different scenes, cross entropy model is optimized by using membership function of fuzzy mathematic. Experiments conducted in campus, hotel and office satisfy the expected results, which verify the feasibility and efficiency. And the result retrieved from optimized model is better than that of original model.
In spite of great efforts to expand the network infrastructure, it is still hard to catch the rapid growing need to serve tremendous subscribers with significant traffic. To effectively allocate the resource among mob...
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ISBN:
(纸本)9781479964123
In spite of great efforts to expand the network infrastructure, it is still hard to catch the rapid growing need to serve tremendous subscribers with significant traffic. To effectively allocate the resource among mobile telecommunication operators and Internet Service Providers (ISP), grasping the highly dynamic traffic patterns can enable effective network planning and optimization for state-of-the-art mobile Internet. We employ traffic behavior analysis method to analyze and model the Internet traffic. Due to the subscribers' number of streaming media accounting over 60% of the entire traffic, we conduct a complete study to analyze this kind of traffic. By contrast, we also give the analysis result of another application, Instant Message (IM). Applying our newly proposed clustering methodology, we describe the regional characteristic of applications. This research subsequently enables more subtle and efficient mobile Internet operating modes to benefit operators and ISPs.
This paper proposes a periodic double ring strip frequency selective surface（FSS） with dual-band stop behavior. The FSS elements are designed to be etched on the transparent coating of glass substrate in smart build...
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This paper proposes a periodic double ring strip frequency selective surface（FSS） with dual-band stop behavior. The FSS elements are designed to be etched on the transparent coating of glass substrate in smart buildings, which acts as a dualband notch filter on 2.45 GHz and 5.4GHz to avoid the leakage of WiF i signal outside the building. All the simulation parts are simulated by using High Frequency Structure Simulator（HFSS）. The proposed FSS possesses 450 MHz and 960 MHz bandwidth with insertion loss more than-10 dB around the two central operating frequencies 2.45 GHz and 5.45 GHz, respectively. Furthermore, the unit-cell structure provides a stable performance for both TE and TM polarizations with incident angles 0-60. A prototype of the proposed FSS is fabricated and measured. Good agreement between the simulated and measured results is obtained.
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