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.
In this paper we present a decision feedback channel estimation way for the mobile satellite communication system in order to improve the bit error performance. The transmission is disturbed not only by shadowing and multipath effects and additive white Gaussian noise, but also by the weather attenuation. The conventional Least Square(LS) is not well suited to detect the transmitter sequence, whereas...
MANET networks (Mobile Ad hoc Networks) are a sub class of mobile and wireless networks. In this type of network, all the nodes are mobile and no fixed infrastructures are considered existing. Among the challenges of the MANET, the stability and the durability of the selected paths in the network. In a previous work, we proposed a solution to this challenge by taking into account the mobility of nodes...
This paper addresses the coordinated target tracking problem by mobile sensor agents with bearing-range measurements. The strategy is divided into two steps. Firstly, a distributed unscented information filter is designed to estimate the states of the moving target. Secondly, a distributed control law is presented to drive each sensor agent of the network to the next position which maximizes the determinant...
Mobile wireless ad hoc network (MANET) can significantly enhance the capability to monitor contaminated areas, detect pollution and gas clouds, tackle emergency incidents and support rescue teams that are working in the emergency areas. In this paper, we investigate the problem of estimation of boundary of discovered heavy gas cloud and tracking this clouds. The MANET comprised of mobile sensing devices...
This study aims to find a low-cost, robust, novel localization method related to a single magnetic landmark using 9D MARG sensors (Magnetic, Angular Rate, and Gravity). We derived an algorithm that can accumulated the space magnetic information during a time period to construct the flux distribution near the landmark. This helps to locate the coordinate of the moving object with respect to the landmark...
The recent paradigm of mobile crowd sensing which collects sensed data from pervasive mobile devices enables a broad range of large scale sensing tasks. In this paper, we aim to study one critical challenge in this paradigm, namely, design of compensation or incentive mechanisms for sensors to expend sufficient resources to take high quality measurements and transmit them to the central fusion unit...
The TDOA-based indoor localization is widely utilized due to high precision. However, the ranging signals may be contaminated by non-light-of-sight (NLOS) propagation, with the results that the accuracy and robustness of localization system can be seriously degraded. In this paper, a tetrahedron-constraint assisted localization algorithm is proposed to mitigate NLOS effects. The errors induced by...
This paper formulates a solution to a problem in stochastic multi-agent and multi-target surveillance. The research goal is to implement a cyclic stochastic optimization (CSO) application for an ensemble of cooperating, mobile sensing agents executing a surveillance mission. Each agent continually combines information to determine its best estimate of the multi-target system state and then decides...
In this article we explore one of the most promising technologies for 5G wireless networks using an underlay small cell network, namely proactive caching. Using the increase in storage technologies and through studying the users behavior, peak traffic can be reduced through proactive caching of the content that is most probable to be requested. We propose a new method, in which, instead of caching...
We propose a method to estimate people travel modes and trajectories from control signal records (CSRs) generated at cellular base stations (BSs) when mobile phones send BSs any signal such as handover and data transmission. User locations can be roughly identified by BS IDs in the records as well as the locations of BSs. However, the location accuracy depends on BS cell size, which is not enough...
This paper investigates biases of a parametric estimator of Doppler shift in mobile communications, and the result indicates that the conventional iterative autocorrelation function (ACF) estimator yields a significant estimation error at high mobile speeds. Therefore, a simple linear fitting is proposed to refine the Doppler shift estimation, in which only one fitting expression is required for different...
Antenna directivity characteristic depends on the geometrical dimensions of the antenna, the geometrical configuration, the excitation amplitude and the excitation phase of the individual elements and the radiation pattern of the individual elements. The directivity properties of antennas are improved by using array antennas. In this paper it is presented a solution for side lobes level reduction...
Method for estimation of mobile robotic platform displacements based on acquisition of marks on the surface of displacements by the pattern installed on a mobile robot in the form of a triangle with markers at the vertices is considered. The method allows estimating algorithms and methods of localization and also to be used for calibration of mobile robot sensor systems.
We shed new light on the mechanism behind how the dynamic behavior of a packet scheduler at the link layer in mobile networks degrades the accuracy of conventional available bandwidth (i.e., unused capacity of an end-to-end path) estimation methods that use a probing packet train (i.e., a set of multiple probing packets). Most of the conventional methods, which were originally designed for wired networks,...
In range-based positioning systems, an altitude difference between tag and reference plane causes errors in two- and three-dimensional positioning. We analyze how these errors reduce accuracy of Local Positioning Systems (LPS) and show how compensation of the altitude difference improves performance of positioning. In this paper, we consider the availability of additional altitude information and...
Smartphones and other mobile devices are today pervasive across the globe. As an interesting side effect of the surge in mobile communications, mobile network operators can now easily collect a wealth of high-resolution data on the habits of large user populations. The information extracted from mobile network traffic data is very relevant in the context of population mapping: it provides a tool for...
Advances in device-to-device (D2D) ecosystems have brought on mobile applications that utilise nearby mobile devices in order to improve users' quality of experience (QoE). The interactions between the mobile devices have to be transparent to the end users and can be of many services - opportunistic networking, traffic offloading, computation offloading, cooperative streaming and P2P based k-anonymity...
As the number of indoor location based services increase in the mobile market, service providers demanding more accurate indoor positioning information. To improve the location estimation accuracy, this paper presents an enhanced client centered location prediction scheme and filtering algorithm based on IEEE 802.11 ac standard for indoor positioning system. We proposed error minimization filtering...
Indoor positioning has become an emerging research area because of huge commercial demands for location-based services in indoor environments. Channel State Information (CSI) as a fine-grained physical layer information has been recently proposed to achieve high positioning accuracy by using range-based methods, e.g., trilateration. In this work, we propose to fuse the CSI-based ranges and velocity...
Follow me cloud (FMC) is one of the solutions to the limitations of the service quality and type of functionality due to the inherent constraints of mobility management. In this paper, we address the tradeoff between the overhead and Quality of Experience (QoE) by proposing a mobility-based services migration prediction (MSMP). The aim of MSMP is to plan, for a given service, the sequence of data...
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.