The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Cross domain data such as numerical or categorical types are ubiquitous in practical network. Network anomaly detection based on cluster analysis exist some difficulties, for example, the initial center of cluster analysis is sensitive and easy to fall into the local optimal solution. Cross domain data involved great information, but can't be effectively used, which will influence the performance...
Device-to-device (D2D) is a new paradigm that enhances network performance by offering a wide variety of advantages over traditional cellular networks, e.g., efficient spectral usage and extended network coverage. Efficient data dissemination is indispensable for supporting many D2D applications such as content distribution and location-aware advertisement. In this work, we study the problem of multi-copy...
Most existing path planning algorithms focus on generating piecewise linear functions, while the smoothness of the path is usually ignored. Route stability and energy saving are key issues for an autonomous underwater vehicle (AUV) working in the underwater environment. To ensure that AUV can pass through the target area steadily and safely, a path smoother is required. This paper puts forward a novel...
Static economic dispatch is confronted with difficulties to dispatch expensive peaking plants and ramp limited resources within required time frame due to increasingly volatile system conditions. An upgrade of current dispatch algorithm into a dynamic frame is proposed to solve this issue. Simulations verify that the dynamic dispatch will not only improve unit scheduling but also prevent producers...
Femtocells are envisioned as a key solution to embrace the ever-increasing high data rate and thus are extensively deployed. Given that numerous femtocell access points (FAPs) deployed in ultra- dense networks (UDNs) lead to significant energy consumption, boosting their energy efficiency (EE) becomes an important issue to be addressed. However, most existing works either focus on homogeneous networks...
Multi-population-based bio-inspired computation may use migration among groups to increase the search diversity. Through good solutions exchanged among sub-populations, better solutions may be found with a high probability. In this paper, we propose two algorithms to dynamically adjust the two primary parameters, migration interval and migration rate, for flexibly reflect solution situation for effective...
Multiple Input Multiple Output (MIMO) system is considered as an unalterable technology in wireless communication for its advantages in the spectral efficiency. Among the detection algorithms, maximum likelihood (ML) detection can achieve the best bit error rate performance, but the computational complexity of ML detection is too huge to be acceptable. In order to solve this problem, numbers of algorithms...
Smart home becomes an emerging research topic these years. It offers various advantages such as facilitating the control of home appliances and the reduction of electricity bill. In this paper, a dynamic programming based game theoretic algorithm is proposed for multiple user smart home scheduling which can handle home appliances with multiple discrete power levels. The simulation results on test...
Electric vehicle (EV) is a promising transportation with plenty of advantages, e.g., low carbon emission, high energy efficiency. However, it requires frequent and long time charging. In public charging stations, EVs spend long time on queuing especially during peak hours. Hence, it requires an efficient method to reduce the total charging time for EVs. We study the Electric Vehicle Charging-Scheduling...
The service quality of a station in IEEE 802.11 wLAN (wireless Local Area Networks) is strongly influenced by which access point it associates with. Therefore, a key challenge is how to select an appropriate access point from multiple available ones. Conventional association protocols have been proved to be not effective. In this paper a strategy for differentiated access service selection based on...
For managing spectrum effectively in cognitive radio system, a matching game algorithm for spectrum allocation based on POMDP model is proposed. Cognitive users can maximize reward of system through observation statistics of historical information, and adjustment their matching strategy. The simulation results show that the approach realizes efficient allocation of the spectrum resource.
Based on the mobile robot dynamic characteristics of the working environment, this paper presents a model based on classic artificial potential field potential field on the basis of considering dynamic model of velocity potential field, using quantum particle swarm optimization algorithm, using quantum particle swarm optimization algorithm for rapid global search and artificial potential field operations,...
Cloud computing opens a new area of supplement, consumption, and delivery framework for IT services. Customers could be able to order Virtual Applications through the cloud. To reduce the latency time, the cloud service providers implement some strategies (e.g., cloudfront service [1]) to speed up the applications delivery. However, these strategies do not consider the profit of application providers...
Wireless communications over water may suffer from serious multipath fading due to strong specular reflections from conducting water surfaces. Cognitive radios enable dynamic spectrum access over a large frequency range, which can be used to mitigate this problem. In this paper, we study how to leverage cognitive radios for effective communications in wireless networks over water. We formally define...
In this paper, an improved select space multi-objective particle swarm optimization was proposed based on the study on particle swarm optimization algorithm for solving multi-objective optimization. The method applied an improved quick sort method to construct the non-dominated solution set. The upper limit of the non-dominated solution select space was set. At the same time, the optimal solution...
An update dynamic programming algorithm is presented in allusion to the features of the moving infrared small dim target. The main idea of this algorithm is that the predicting states between frames and a low threshold are applied to reduce the computation. The background noise is suppressed by the image pre-processing. The probability of detecting and false alarm are used to determine the threshold...
Providing security for wireless sensor networks is challenging due to the resource limitations of sensor nodes. Leveraging the broadcast nature of wireless communication, we propose a behavior-based approach for attack detection and reporting in WSNs. In our approach, some ADS capable nodes are chosen for judging the behavior of their neighbors and conveying alarms to an administration sink when attacks...
Concurrent objects are notoriously difficult to design correctly, and high performance algorithms that make little or no use of locks even more so. In this paper, we present a formal verification of a lazy concurrent list-based set using model checking techniques. The algorithm supports insertion, removal, and membership testing of a list entry under optimistic locking scheme. The algorithm has nonfixed...
This paper analyzes algorithmic characteristics of AES Encryption/Decryption, and proposes a design methodology for AES algorithm digital hardware circuit through integrating the technologies of pipeline and parallel connections with dynamic reconfiguration. And a dynamic reconfiguration circuit model was built to test out the design methodology. The results of simulation and verification experiments...
Under a unexpected disaster, The fundamental purpose of emergency evacuation is to take a scientific and effective evacuation strategy to maximize the population of the evacuation of the affected in the shortest time, and in which, the construction of evacuation routes and the distribution of evacuation intersection flow is the key of the realization of this purpose. In this paper, aiming at the problem...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.