In this paper, we propose a new detection scheme for single carrier frequency-domain equalization (SC-FDE) for relay-assisted transmission scenario over frequency selective channels. We show that, by incorporating lin...
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In this paper, we propose a new detection scheme for single carrier frequency-domain equalization (SC-FDE) for relay-assisted transmission scenario over frequency selective channels. We show that, by incorporating linear processing techniques, our new receiver significantly outperforms the minimum mean square error (MMSE)-distributed (D)-SC-FDE receiver in terms of the error rate performance. Simulation results and complexity analysis demonstrate that our proposed receiver outperforms the conventional cooperative MMSE-SC-FDE receiver by performing close to matched filter bound (MFB), while incurring a minimal additional computational complexity.
The IEEE 802.16 standard of wireless mesh networks includes various scheduling algorithms, both centralized and distributed, to determine the proper time slot that each wireless node can transmit its data. In this pap...
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The IEEE 802.16 standard of wireless mesh networks includes various scheduling algorithms, both centralized and distributed, to determine the proper time slot that each wireless node can transmit its data. In this paper, we introduce a new scheduling scheme to improve scalability and resource utilization in wireless mesh networks where all nodes compete to gain access to the transmission time slot. In our proposed method, the transmission time of a node is modified according to the transmission status of its neighbors, resulting in a shorter holdoff time, and consequently, reducing the transmission delay and throughput. The simulation results confirm the efficiency and performance of the proposed algorithm over the IEEE 802.16-mesh standard in terms of throughput and delay.
First, we introduce the design principles of the function of Tianjin earthquake precursor network running monitoring software; second, we have developed the software by using the precursor instrument communication tec...
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First, we introduce the design principles of the function of Tianjin earthquake precursor network running monitoring software; second, we have developed the software by using the precursor instrument communication technology, the distributed database read-write technology and data quality monitoring methods. The software regularly and automatically monitor network equipment status, data report situation, and abnormal data. It achieves the automatic detection and alarm function for the precursor instruments and observation data. The application of the software improves data quality and work efficiency.
On the basis of research and analysis of the current intrusion alerts correlation technologies, the real-time intrusion alert correlation model based on prerequisite and consequence (RIAC) is proposed, which can adapt...
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On the basis of research and analysis of the current intrusion alerts correlation technologies, the real-time intrusion alert correlation model based on prerequisite and consequence (RIAC) is proposed, which can adapt the large scale, distributed environment and provide on-line correlation function. RIAC system employs distributed agents to collect alert information on-line and adopts prerequisite-consequence correlation method to analysis and discovery attack scenario and intrusion intent behind alerts. A prototype is implemented and validation testing and real-time testing is carried on by using the real IPv6 dataset. The results show that RIAC can correlate alerts and discovery attack scenario efficiently and timely.
We foresee the need for dynamically clustering nodes in Wireless Sensor Networks (WSNs) according to a multitude of disparate co-existing contexts. To this end, we propose a distributed, low-overhead context-aware clu...
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We foresee the need for dynamically clustering nodes in Wireless Sensor Networks (WSNs) according to a multitude of disparate co-existing contexts. To this end, we propose a distributed, low-overhead context-aware clustering protocol for WSNs. We employ Affinity Propagation (AP) for clustering nodes based on multiple criteria including location, residual energy, and contextual data sensed from the environment. We propose a novel approach for context representation based on potential fields. We discuss the integration of our context representation model with AP and demonstrate using simulation the effectiveness and proficiency of the proposed protocol in satisfying its intended objectives.
For designing a wireless network, field test is mostly preferred for researchers to test and evaluate the system performance. However, it is expensive for field constructions and thus it is not affordable for most res...
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For designing a wireless network, field test is mostly preferred for researchers to test and evaluate the system performance. However, it is expensive for field constructions and thus it is not affordable for most researchers. Software simulation is another option. However, the results by simulation may be undesirably biased away the true. This paper proposes a new method to trade off between resource consumption and test veracity, which constructs a hardware-in-loop simulation platform by integrating theoretic computation, computer simulation and hardware-based test. This platform can be used to verify wireless networking technologies, while resource is reduced greatly at the same time.
Location aware computing is popularized and use of location information has become important due to huge application of mobile computing devices and local area wireless networks. To serve us well, mobile computing app...
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Location aware computing is popularized and use of location information has become important due to huge application of mobile computing devices and local area wireless networks. To serve us well, mobile computing applications need to know the physical location of things so that they can record them and report them to us. Therefore in the future ubiquitous services, location estimation will be a key technology. This paper present distributed growing radial basis function neural networks (DGRBFNN) for location estimation of mobile device in wireless networks. DGRBFNN partitions the location space into clusters on the basis of availability of signals from various access points, and employ separate neural network architecture for each cluster to estimate the location of mobile device in indoor wireless networks. It provides better location estimation results than other approaches and systematically caters for unavailable signals at estimation time.
Location based services (LBS) are very abundant in our society, which focus on providing users navigation information to make the travel more convenient With the rapid development of evolving mobile technologies (3G, ...
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Location based services (LBS) are very abundant in our society, which focus on providing users navigation information to make the travel more convenient With the rapid development of evolving mobile technologies (3G, Wi-Fi, and IPv6), large amounts of data (infotainment, et al.) transmission comes true, which makes the sole navigation information seems tedious. Ubiquitous computing emphasizes the integration of computing and the environment, while the computer itself disappears from people's attention. In the ubiquitous computing model, people can access or even process information at any time or any place. In this paper, we propose a new kind of distributed location based service framework of ubiquitous computing. In our service, we can get various kinds of latest information (infotainment), extract their locations by location aware technology considering that there must be a related location in the information. The locationaware information is provided to users whenever they want All the information sent to users has been filtered according to users' current locations and locations of the information. User can customize the categories of information to make sure he can get any preferred information but not only the navigation related ones, which makes users' travel more convenient and pleasant. A comprehensive experiment using real data has been conducted to demonstrate our service framework.
Small talk is an important social lubricant that helps people, especially strangers, initiate conversations and make friends with each other in physical proximity. However, due to difficulties in quickly identifying s...
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ISBN:
(纸本)9781424472611
Small talk is an important social lubricant that helps people, especially strangers, initiate conversations and make friends with each other in physical proximity. However, due to difficulties in quickly identifying significant topics of common interest, real-world small talk tends to be superficial. The mass popularity of mobile phones can help improve the effectiveness of small talk. In this paper, we present E-Small Talker, a distributed mobile communications system that facilitates social networking in physical proximity. It automatically discovers and suggests topics such as common interests for more significant conversations. We build on Bluetooth Service Discovery Protocol (SDP) to exchange potential topics by customizing service attributes to publish non-service-related information without establishing a connection. We propose a novel iterative Bloom filter (IBF) protocol that encodes topics to fit in SDP attributes and achieves a low false positive rate. We have implemented the system in Java ME for ease of deployment. Our experiments on real-world phones show that it is efficient enough at the system level to facilitate social interactions among strangers in physical proximity. To the best of our knowledge, E-Small Talker is the first distributed mobile system to achieve the same purpose.
As the notion of Green computing becomes more popular in the IT world, new power saving features start to appear in both computer hardware and software. The difficulty of leveraging existing means of power management ...
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ISBN:
(纸本)9781424476121
As the notion of Green computing becomes more popular in the IT world, new power saving features start to appear in both computer hardware and software. The difficulty of leveraging existing means of power management and control increases with the scale of operations, making a networked approach to the problem a necessity. In this paper we present the SMOA Devices architecture, a distributed solution for monitoring and management of power consumption in computer systems. We discuss its features and characteristics, and explain what makes it suitable for a broad range of power saving and management applications.
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