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.
Mobile devices have become more and more powerful with lots of embedded sensors providing sensibility of various data, which makes crowd sensing a compelling paradigm followed by emerging applications. In this paper, we design a crowd based incentive mechanism to stimulate participants joining sensing campaigns with consideration of location privacy. In our incentive, MagiCrowd, we creatively cluster...
This paper investigates power allocation problems for orthogonal frequency division multiplexing (OFDM)-based cognitive radio networks operating in licensed frequency bands. Considering imperfect spectrum sensing, a new power allocation algorithm is proposed to minimize the total interference introduced to primary user under a minimum capacity constraint of secondary user (SU) and a total transmit...
A Linear Wireless Sensors Network (LSN) is a sensor network model used for monitoring linear structures such as oil, gas, and water pipelines. This type of network depends on the information sent from one node to another in a sequence. As a result, a failure or attack that occurs at any node may isolate some nodes from the network, which will affect the reliability of the entire network. In this situation,...
Enabling Energy Harvesting (EH) for Cognitive Radio Networks (CRNs) is promising to extend their lifetime. Since Secondary Users (SUs) can either access the spectrum or harvest energy, EH should be integrated within the context of Dynamic Spectrum Access (DSA), in order to increase both the energy efficiency and the spectrum efficiency. This paper proposes a novel algorithm that enables SUs to harvest...
One important issue associated with spectrum management in heterogeneous cognitive radio network is: how to appropriately allocate the spectrum to the secondary senderdestination (S-D) pair for sensing and utilization. In this work, the authors investigate the spectrum allocation problem under a more practical scenario, taking the heterogeneous characteristics of both secondary S-D and PU channels...
In this article, we evaluate the collaborative sub-channel activity index (SAI) to characterize the primary users activity in cognitive radio network. The optimal transmit power allocation policy is then formulated based on SAI as an optimization problem with the objective of maximizing the total user rate and minimizing the energy consumption at the secondary base station (SBS), subject to various...
Participatory Sensing is an emerging paradigm that enables users carrying sensors-equipped smart devices to gather and share data about a particular phenomenon. However, involving individuals in sensing tasks raises new challenges such as the quality of collected data, denoted as Quality of Information (QoI), and the dedicated resources for its acquisition. Besides, a fair task assignment is highly...
The Federal Aviation Administration (FAA) is considering the implementation of the Aeronautical Mobile Airport Communications System (AeroMACS) in the National Airspace System (NAS). AeroMACS networks will provide high-data-rate communications in the airport environment in support of Next Generation Air Transportation System (NextGen) operations.
Participatory sensing plays an important role in Internet of Things (IoT) applications to collect large scale data via powerful sensors from ubiquitous devices. However, without a proper incentive mechanism to pay rewards to the users, the application provider (platform) cannot keep the motivation of users due to their costs during the data collection and uploading process. Moreover, conventional...
The availability of radio spectrum is limited. The demand for high data transmission requires the increase in the spectrum which over burdens the available frequency spectrum because of licensed spectrum management. But on the other hand the studies indicate that the licensed spectrum is underutilized. Therefore this underutilized spectrum needs to be relocated dynamically so that the spectrum can...
Cognitive Radio (CR) technology is developed to overcome the spectrum scarcity due to rapid development in wireless networks. Both licensed and unlicensed users can utilize the spectrum using this technology. Spectrum is allocated dynamically in cognitive radio networks thus it increases the spectrum utilization. The unlicensed users can transmit in the vacant spectrum already assigned to licensed...
Term Big spectrum data refers to big data in the wireless domain, containing information about radio environment awareness. Radio environment awareness is essential for the process of regulating the use of radio frequencies, for social benefit. It is an important step towards the efficient and effective utilization of the spectrum, called spectrum management. Near real time big spectrum data analysis...
Spectrum scarcity is one of the primary bottlenecks for the future wireless communication systems, for better spectrum utilization cognitive radio plays a vital role. Cognitive radio is a new paradigm of designing wireless communications systems which aims to enhance the utilization of the radio frequency (RF) spectrum for wireless communications. Available spectrum bands may vary with different cognitive...
Resource optimization becomes mandatory in radio spectrum because of limited resources. The effective utilization of resources is the need of wireless era. Cognitive radio is a technology which enables opportunistic access to radio spectrum and has ability to analyze and learn about the environment conditions. Most of the radio spectrum is underutilized. Cognitive radio has the ability to sense the...
In this work, a cooperative scenario of cognitive network is considered to maximize the energy efficiency and throughput while maintaining certain boundary conditions like, probability of detection threshold and total power budget allocation. After evaluation of the mathematical form, simulation is done on the basis of relay amplifying factor. Additionally, the optimal level of relay amplifying factor...
The concept of wireless distributed computing (WDC), proposed recently, is used to distribute and allocate computational tasks wirelessly. Despite various benefits of WDC, such as distributing the workload efficiently among cooperating nodes, WDC concept is facing enormous challenges. Proposing an efficient task allocation algorithm is one of the key challenges in WDC network. The work reported here...
The rapid development of wireless communication technology facilitates the realization of the Internet of Things (IOT). Self-configuration and smart connection system have become relative important issue in accordance with extensive applications of IOT, and the energy saving concepts. Therefore, this work presents the integration of ‘Self-configuration and Wisdom Connection System’ with Wireless Sensor...
In this paper, we investigate the distortion outage minimization problem for a wireless sensor network (WSN) in the presence of an eavesdropper. The observation signals transmitted from the sensors to the fusion center (FC) are over-heard by the eavesdropper. Both the FC and the eavesdropper reconstruct minimum mean squared error (MMSE) estimates of the physical quantity observed. We address the problem...
We introduce the concepts of cross-layer virtual/physical sensing and actuation to achieve resiliency for the emerging class of heterogeneous many-core Systems-on-Chip (SoCs). Using the CyberPhysical System-on-Chip (CPSoC) concept as an exemplar sensor-rich many-core heterogeneous computing platform, we illustrate how to intrinsically couple on-chip and cross-layer physical and virtual sensing and...
Considering IoT environment, where even network nodes are having not only data transfer function but also data processing function, we are studying which processing entity should execute an IoT application and how to connect the processing entity with terminals requesting the application. Then, we show 4 types of traffic engineering (TE) to minimize delay by the selection of processor and the rearrange...
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.