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Full duplex (FD) cognitive radio (CR) is one of the key enabling technologies for future wireless communication systems. Improvement in the spectrum efficiency, as promised by the CR technology can be further extended to FD-CR networks (FDCRNs) by performing a highly efficient and methodical spectrum sensing. In this paper, energy detection based effective spectrum sensing in FDCRNs considering residual...
Smart sensing, devices, and monitoring are essential to localized motor condition monitoring and service applications. A unique approach to the smart device is the use of low-cost wireless sensors for machine condition measurement. Smartphones may be used as the computational platform that acquires motor parameters from wireless sensors using a compatible local communication. Considering the widespread...
Designing circuits for enhanced IoT (“Internet of Things”) applications is one of the current growth driver for the electronics industry. Optimizing such circuits for lowest power consumption while maximize functionality and performance is key for successful implementation of such circuits in the IoT systems. IoT devices are diverse in nature but are typically constrained by limited power availability,...
Cognitive radio technology can get used to mitigate spectrum scarcity in a wide range of wireless systems. The key factor in cognitive radio systems is to use a blind and reliable sensing method. Maximum to minimum eigenvalue (MME) is known as one of the best performing covariance based spectrum sensing methods in the literature. In this paper, we propose to use consecutive results of previously sensed...
Internet of Things (IoT) applications requiring the installation of a large number of sensors face power supply limitations. This paper presents a solution which powers sensing devices without the use of batteries or power lines. The proposed solution is tested using temperature, humidity and gas sensors, using BLE for wireless transmission and MUC for signal processing. Experimental results show...
Energy is one of the most precious resource in Wireless Sensor Networks (WSNs) which is mainly consumed in communication, sensing and processing. Performance evaluation of WSN routing protocols primarily rely on simulation-based studies. Most of these studies only assume oversimplified First Order Radio Model (FORM) and ignore node's energy consumed in sensing and processing. This paper presents an...
The increase in the number of large scale events held indoors (i.e. conferences, business events) opens new opportunities for crowd monitoring, access controlling as a way to prevent risks, provide further information about the event's development. In addition, the availability of already connectable devices among attendees allows to perform non-intrusive positioning during the event, without the...
We consider sensing for cognitive network users, in particular focusing on a scenario where a primary user (PU) and a secondary user (SU) operate on the same frequency band. The SU is interested in identifying transmission opportunities when the PU is silent. We investigate how this sensing performed by the SU can be improved through modeling the PU transmission pattern with increasing accuracy. In...
Partial discharge (PD) is one of the predominant factors to be controlled to ensure reliability and undisrupted functions of power generators, motors, Gas Insulated Switchgear (GIS) and grid connected power distribution equipment, especially in the future smart grid. The emergence of wireless technology has provided numerous opportunities to optimise remote monitoring and control facilities that can...
In this paper, we describe an efficient detection method for unknown wireless devices using software defined radio (SDR) receivers, which is to estimate the position of unknown devices and their transmission power by sensing carrier frequency and measuring the received signal strengths (RSSs). RSS based positioning techniques are attractive for their low implementation complexity, but they are very...
Internet of Things (IoT) objects and devices, e.g., sensors and actuators, can be accessed as a service to meet the users' demand from various applications. In this paper, we propose an optimal service auction to determine which user to access an IoT device. The auction decision to accept the highest bid is obtained as a policy of a Markov decision process (MDP) with an objective to maximize the reward...
The WBAN that can collect measured vital sign through sensors enables continuous monitoring for the elder and chronic disease. As smart devices become popular, the development of WBAN has been easier. We have optimized WBAN by control of sampling rate. The sampling rate presents as the number of data per second. It is important factor that determines resolution of waveform. Even high sampling rate...
Network design for real time control of launch vehicles need to consider latency and noise in wireless environments. The proposed system will gather the acceleration information received from multiple sensors to reliably and robustly relay the orientation of the rocket back to the actuator system. To do so, a network simulation software will give us an estimate of the efficiency of these sensors in...
With the increasing popularity of WiFi technologies, mobile users may now take advantage of heterogeneous wireless networks. In contrast to cellular networks, community networks, based on sharing WiFi residential accesses, show a high access points density in urban areas but uncontrolled performance. We present Wi2Me Traces Explorer, an extensible mobile sensing application to characterize current...
A managed wireless mesh for infrastructure-level, stable regional mesh network has been studied. NerveNet, which we have been proposing, is a concept of future regional platform network that covers local regions and provides various context-aware services with the shared use of sensors and actuators. The managed wireless mesh developed for materializing NerveNet features auto-configuration of multiple,...
In this paper, we present the simulation results of the comparative investigation of the performance of the constrained flooding routing protocol (CF) based on different path loss exponents using PROWLER. Our simulation results indicate that the path loss exponent 4.10 increases the network lifetime for the CF routing protocol than the path loss exponent 3.0.
This paper mostly concerned with the various packet size effect on performance of erasure correctable codes for cognitive radio. Among these types of codes we tried to simulate Raptor code to discover its suitability for assumed erasure channel in cognitive radio. The main target after supporting the functionality of coding-based cognitive radio would be finding the appropriate packet length that...
A managed wireless mesh for infrastructure-level, stable regional mesh network has been studied. NerveNet, which we have been proposing, is a concept of future regional platform network that covers local regions and provides various context-aware services with the shared use of sensors and actuators. The managed wireless mesh developed for materializing NerveNet features auto-configuration of multiple,...
This paper proposes an advanced, robust and flexible solution that applies the (revised) concept of Always Best Connected (ABC) Network, typical of multimode modern mobile devices, to Wireless Sensor Network. Hostile environments and unpredictable conditions (e.g. interferences) can negatively affect communication range, potentially increasing the number of unconnected nodes in random deployments...
The demand for wireless communication has grown remarkably in the last year, consequently raising the problem of spectrum scarcity. In this context, cognitive radio is an emerging technology that aims to overcome that scarcity, which is one of the most challenging problems in modern wireless communication. Among its fundamental function, the most important is the spectrum sensing which require precise...
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