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.
Consider a distributed sensor network (DSN) with randomly deployed sensors for binary detection of a phenomenon of interest (PoI). A data fusion center (which may be a sensor itself) monitors the PoI using both the directly acquired PoI data and the wireless communication signals conveying binary decisions about the PoI from other distributed sensors. To address this problem, we look into a PoI with...
Cooperative spectrum sensing has been proposed to help raise the sensitivity requirement under the fading propagation in Cognitive Radio Network. In this paper, we introduce a new explanation that the best probability of detection or false alarm can be achieved from only parts of the cooperative secondary users under different scenarios. Specifically, we analyze from the new perspective of spatially-correlated...
In this paper, we propose a novel proportional fair scheduling algorithm for MAC-layer sensing in the cognitive radio networks (CRNs). According to the secondary user (SU) channel state information and primary user (PU) traffic patterns, the SUs are adaptively scheduled to carry out sensing and transmission in different channels. Moreover, we jointly consider multiple important design factors in the...
In this paper, we study the Cooperative Sensing Scheduling (CSS) problem for Cognitive Radio Network (CRN), from the perspective of balance between sensing performance and energy consumption. We place this problem in a practical scenario where both the primary users (PUs) and the secondary users (SUs) are heterogeneous: PU channels are different in terms of channel admission control, idle probability...
In this paper, achievable rates and energy efficiency in cognitive radio channels are analyzed in the presence of sensing errors. The cognitive secondary users are initially assumed to perform channel sensing and then enter into data transmission phase. Under sensing uncertainty and Gaussian primary user interference assumptions, additive disturbance experienced at the secondary receiver is seen to...
In this contribution, a parallel triple-layer wireless sensor network (WSN) is introduced to monitor a source event (SE) with M states. For the sake of facilitating low-complexity noncoherent fusion rules, in the considered WSN, frequency-hopping (FH) and M-ary frequency-shift keying (MFSK) modulation are used to transmit signals from local sensor nodes (LSNs) to fusion center (FC). Hence, the WSN...
We investigate the Chernoff information loss (CIL) characteristics in wireless sensor networks (WSNs) as the sensor attempts to send a 1-bit information about the presence or absence of a phenomenon-of-interest (POI) to a remote data sink through either the single-hop (SH) or multi-hop (MH) wireless connectivity. Firstly, we describe the sensing and communication processes by using the cascaded discrete...
Vehicular ad hoc networks (VANETs) have recently received considerable attentions for both safety and commercial applications. In this paper, we address popular content distribution (PCD) in VANETs, in which a popular file is downloaded by a group of on-board units (OBUs) passing by a roadside unit (RSU). Due to high speeds and channel fadings, the OBUs may not finish downloading the entire file from...
As the advances in sensing and wireless communication technologies, e.g., ZigBee, RFID, and WiFi, wireless sensor networks provide a promising opportunity to enhance underground environment monitoring, e.g., coal mine disaster monitoring. However, these wireless technologies suffer from signal distortion and short Non-Line-Of-Sight (NLOS). Furthermore, in underground disaster it is difficult to transmit...
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.