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We address the problem of output redundancy in linear plants, wherein the presence of redundant sensors is motivated by an unknown bias or fault affecting each sensor output. In this context, we address the design problem of a nonlinear observer consisting in a linear Luenberger structure augmented with an adaptive weighted pseudo-inverse combination of the available measurements. We characterize...
Opportunistic real time mobile crowdsensing pertains to the instantaneous monitoring of large scale phenomena by leveraging human mobility and smartphones' sensors. However, while urban applications concern more about coverage quality and timeliness of detected data, mobile users should care about their consumed energy for performing a sensing task. In this paper, we introduce the Real time OPportunistic...
In this paper we consider the problem of hosting multiple applications in software-defined wireless sensor networks (SD-WSNs). The applications vary in terms of terms of the number and type of sensing tasks required. Since WSN nodes are very resource constrained, one of the major challenges when scheduling the sensing tasks is to balance the energy consumption and maximize the operational time of...
In this paper, we present a multi-user resource allocation framework using fragmented-spectrum synchronous OFDM-CDMA modulation over a frequency-selective fading channel. In particular, given pre-existing communications in the spectrum where the system is operating, a channel sensing and estimation method is used to obtain information of subcarrier availability. Given this information, some real-valued...
In this paper, we consider a multi-level power allocation scheme for cognitive users in the cognitive radio networks. The proposed system uses a new frame structure to improve overall throughput of the cognitive radio systems. We propose a strategy in which, the licensed user can transmit with multiple levels of power which seems to be more realistic and practical. In this work, the proposed strategy...
Environment concerns have gained more and more prevalence in the past decades, as better data and alarming prognosis regarding energy efficiency emerge from research. The private business sector already started to join the efforts with participation from both large companies and SMEs. Nowadays, in order to reduce energy costs and avoid penalties, companies concern themselves with an efficient use...
With the increasing demand for wireless traffic, Device-to-Device (D2D) communications underlaying the cellular network is beneficial to offload traffic and further improve throughput and latency. 3GPP has introduced D2D communications for proximity-based services since Rel-12. The assumption of half-duplex mode and lack of a feedback mechanism make UE autonomous resource selection challenging in...
Green cognitive radio has attracted significant research attention as an effective means of alleviating spectrum scarcity and energy-saving problem in wireless communications. In this paper, we focus on the power allocation for maximizing the transmission throughput and energy efficiency (EE) of secondary users (SUs). More specifically, we propose a multi-band power allocation scheme, where multiple...
Recently, researches on mobile cognitive radio network (CRN) has been paid more attention to, involving spectrum sensing, power control and spectrum access, while no schemes considering both the power and spectrum assignment at the same time. In this paper, an efficient resource allocation (RA) scheme is proposed for the orthogonal frequency division multiple access (OFDMA)-based mobile underlay CRN...
To ensure the X-rudder autonomous underwater vehicle (AUV) complete the mission in the case of motion actuators failure, a fault-tolerant motion control method based on reconstructive approach is designed in this paper. This fault-tolerant motion control method is composed by double-rudder allocation and triple-rudder allocation, which are based on X rudder's characteristics. One simulation is built...
This paper proposes a resource allocation technique for distributed and uncoordinated femtocell networks. We focus on enhancing the Quality of Service (QoS) and throughput by relying only on feedback from the base-station's (BS) users in addition to locally estimated information from the surrounding environment. A novel algorithm is developed to analyze the uplink (UL) interference in order to estimate...
In battery-powered Cognitive Machine-to-Machine Communications (CM2M), the energy consumption, opportunistic data access capacity and interference to the licensed system need to be optimized simultaneously. We consider this as joint cooperative spectrum sensing and power allocation, and model this as a constraint multiobjective optimization problem of three objectives. Our model helps to find a Pareto...
The increasing demand of diverse vehicular network oriented applications (both safety and non-safety related services would undoubtedly lead to shortage of spectral resource challenge for V2V communication networks. In order to resolve this issue, a novel Adaptive CR Enabled Vehicular NETwork (ACREVNET) framework is proposed in this paper. To avoid heavy overhead usually incurred during spectrum sensing,...
In this paper we study a wireless passive sensor network. The sensors are deployed to estimate the true values of multiple active target signals. The sensors forward their observation to a fusion center, which processes the observation of each sensor by a set of fusion rules. One achievement of this paper is proposing an unbiased estimator with minimized variance of errors. To do so, we optimize both...
This paper regards a network of wireless passive sensors, suitable for radar applications. The network observes multiple number of target signals to be estimated. We propose an unbiased estimator whose error is minimized by optimizing both the power allocation at sensor nodes and the fusion coefficients at the fusion center. Since the underlying optimization problems are subject to both the individual...
The cellular heterogeneous networks (CHNs) are of great interest for the great potential of improving the network capacity by employing low-power, easy- deployment short-range mini-base stations (BSs). To cope with the challenge of inter-layer/inner-layer interference environment in such heterogeneous architecture, we introduce cognitive Radio (CR) in CHNs, and named it as CR Enabled cellular heterogeneous...
The explosive growth of cellular network users and traffic stimulates the current network architecture to be more spectral-, energy-, and operation efficient and flexible. In this paper, we propose a transformium network architecture comprising transformium core, body and cloud, where the core dynamically schedules the body and cloud orchestrated with wireless network environment. To enable the transforming...
When energy harvesting (EH) technique is applied in Internet of Things (IoT) to replenish energy for low power consumption sensing nodes, e.g., sensors and radio frequency identification (RFID) tags, the end-to-end (e2e) data rate is usually maximized without accounting for the energy consumption at the nodes. In this paper, however, the energy consumption at secondary users (SUs) along a cognitive...
Cooperative localization has become a promising solution for location-enabled technologies in Wireless Sensor Networks (WSNs). However, it suffers from great energy consumption problem due to the energy-constrained characteristic of the networks. To alleviate this problem, we propose a cluster nodes selection strategy based on the Cramer-Rao lower bound (CRLB) for the cooperative localization algorithm...
In this paper, we investigate an energy-efficient power allocation scheme in the cognitive radio (CR) networks that utilizes the energy harvested from ambient sources and spectrum sensing information. The optimization problem is formulated as a ratio of the spectral efficiency (SE) to the total energy consumption under the energy and battery causality constraints, which is solved by an iterative algorithm...
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