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.
Inertial navigation system (INS) has an increasingly important role in indoor navigation, which mainly uses inertial measurement units based on a micro electro mechanical system (MEMS) to acquire data, and which is independent of the external environment. However, INS has serious accumulated errors, and thus, it was often integrated with wireless location systems (WLSs), such as ultra wideband (UWB)...
Since Apple introduced the iBeacons in Worldwide Developers Conference (WWDC) 2013, the iBeacon has been rapidly accepted and generalized in the market. For the deployed iBeacons, it is necessary to monitor their status. In this paper, we design a crowd sensing based monitoring framework which combines the moving and static schemas of participants to monitor the real status of iBeacons. In such a...
Indoor localization is an important primitive that can enable many ubiquitous computing applications. In this paper, we choose the iBeacon as landmark and improve the localization scheme of iBeacon and inertial navigation through crowd sensing. Specifically, we use crowd sensing to design a parameter learning algorithm for device diversity. Furthermore, we take advantage of crowd sensing to collect...
Indoor localization is an important primitive that can enable many ubiquitous computing applications. This paper improves the scheme of landmark and inertial navigation through crowd sensing to address reliable and accurate indoor localization. The location of landmark can calibrate the location of user and inertial navigation can optimize the location of landmark in turn. In this work, we define...
In participatory sensing applications, the inaccuracy and conflict of the reported data, commonly caused by the error rate of participants or the differences of observation context, have received more and more attention. Estimating the real status of facilities according to observations becomes a big challenge for participatory sensing. Towards this end, we propose a context-aware estimation approach...
This paper proposes a cross layer routing protocol called CRMBR (Cognitive Radio Mobility Based Routing Protocol.), which operates with Cognitive Radio (CR) Mobile Ad Hoc Networks. In the near future, with the rapid development of hardware and chipset functionality, devices with CR capability will offer promising opportunities within future mobile networks. The new routing protocol exploits the transfer...
Application communication in wireless sensor networks (WSN) depends on two important factors: acquisition of sensed data from a specific area, and network connectivity that concerns the reliable delivery of the observed data from sensor nodes to the sink node. In this paper, we consider the application communication reliability (ACR) of WSN supporting K-coverage in the presence of shadowing for a...
The existing research on security issues in cognitive radio networks mainly focuses on attack and defense in individual network layers. However, the attackers do not necessarily restrict themselves within the boundaries of network layers. In this paper, we design cross-layer attack strategies that can largely increase the attackers' power or reducing their risk of being detected. As a case study,...
Routing is critical in wireless sensor networks (WSNs). It has been widely studied in recent years and many new protocols have been proposed. In this paper, based on observations on event-driven wireless sensor networks, we propose algorithms to reduce power consumption and improve data quality in wireless sensor networks. In our algorithms, sensor nodes reduce the sampling frequency and number of...
Collaborative spectrum sensing in cognitive radio networks has been proposed as an efficient way to improve the performance of primary users detection. In collaborative spectrum sensing schemes, secondary users are often assumed to be trustworthy. In practice, however, cognitive radio nodes can be compromised. Compromised secondary users can report false detection results and significantly degrade...
From the network birth to the vigorous development, as well as many concomitant security problems, all symbolized the network developing process approaches the ecological organization evolution process. But today's tradition network security defense architecture is exposing the mechanical and stiff malpractice gradually, which is unable to deal with a variety of the security threats that are latent...
Collaborative sensing in cognitive radio networks can significantly improve the probability of detecting the transmission of primary users. In current collaborative sensing schemes, all collaborative secondary users are assumed to be honest. As a consequence, the system is vulnerable to attacks in which malicious secondary users report false detection results. In this paper, we investigate how to...
The matching of sensor and weapon system is important for the whole combat system. Combat system would have the optimum efficacy only if the indexes of sensor and weapon system attained to the best matching status. A method of optimization matching of sensor and weapon system based on geometric programming was given. This method means to construct a GP model, the target function of which would be...
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.