In this paper, a simultaneous cooperative spectrum sensing and energy harvesting model is proposed to improve the transmission performance of multichannel cognitive radio. The frame structure divided into slot slot. slot, secondary user (SU) splits subchannels two subchannel sets, one for primary (PU) by other collecting radio frequency PU signal noise harvesting. harvested supplied compensate loss in order guarantee throughput. We have formulated resource allocation as class optimization...

The evolution of Internet Things (IoT) devices and their adoption in new generation intelligent systems has generated a huge demand for wireless bandwidth. This bandwidth problem is further exacerbated by another characteristics IoT applications, i.e., are usually deployed massive number, thus leading to an awkward scenario that many bandwidth-hungry chasing after the very limited within small geographic area. As such, cognitive radio received much attention research community as important...

The Internet of Vehicles connects all vehicles and shares dynamic vehicular data via wireless communications to effectively control improve traffic efficiency. However, due movement, sharing based on conventional cloud computing can hardly realize real-time updates. To address these challenges, artificial intelligence (AI)-empowered mobile/multi-access edge (MEC) has been regarded as a promising technique for intelligently supporting various services applications in proximity vehicles. In...

In this paper, we consider a reconfigurable intelligent surface (RIS) assisted unmanned aerial vehicle (UAV) relaying communication system, where the RIS is mounted on UAV and can move at high speed. Compared with conventional static RIS, better performance more flexibility be achieved assistance of mobile UAV. We maximize average downlink throughput by jointly optimizing trajectory, passive beamforming source power allocation for each time slot. The formulated non-convex optimization...

With the increasing number of electric vehicles (EVs), temporary charging demands grow rapidly. Unlike at home or workplace, requires less waiting time. In this article, a mobile edge computing (MEC)-enabled and discharging networking system algorithm (CDNSA) is proposed to minimize time for EVs in stations (CSs). A software-defined network (SDN) paradigm adopted enhance data transmission efficiency MEC servers. CDNSA, optimization problem formulated as mixed-integer nonlinear programming...

Evaluating and quantifying trust stimulates collaboration in mobile ad hoc networks (MANETs). Many existing reputation systems sharply divide the value into right or wrong, thus ignoring another core dimension of trust: uncertainty. As uncertainty deeply impacts a node's anticipation others' behavior decisions during interaction, we include system. Specifically, define new model to directly reflect confidence sufficiency its past experience, study how collection information affects nodes'...

In this paper, we consider a distributed detection scenario where number of remote sensors is linked to decision fusion center by fading multiaccess channel. The communication assumed be noncoherent meaning that channel gains are unknown at both and the center. Each sensor makes binary local communicates it simultaneously. We investigate performance system in terms error probability exponent under Rayleigh Rician scenarios. reveal on-off keying most energy efficient modulation scheme when...

Whereas a few physical layer techniques have been proposed to locate signal source indoors, they all deem multipath "curse" and hence take great efforts cope with it. Consequently, each sensor only obtains the information about direct path; this necessitates networked sensing system (hence higher complexity deployment cost) at least three sensors actually source.

By supporting asynchronous transmission and flexible subband (SB) setting, filtered orthogonal frequency division multiplexing (f-OFDM) has been identified as one of the most promising waveforms for future wireless communications, which makes deep investigation on f-OFDM an urgent mission. Therefore, this paper investigates downlink interference systems under different SB configurations. We initially classify overall into two categories, termed inner-SB inter-SB interferences. Subsequently,...

Machine learning (ML) is a widely accepted means for supporting customized services mobile devices and applications. Federated Learning (FL), which promising approach to implement machine while addressing data privacy concerns, typically involves large number of wireless collect model training data. Under such circumstances, FL expected meet stringent latency requirements in the face limited resources as demand bandwidth, power consumption, computation constraints participating devices. Due...

Based on the analysis of feature cognitive radio (CR) networks, we build a relevant interference model. Cognitive users should particularly consider problem with licensed and satisfy signal-to-interference-plus-noise ratio (SINR) requirement at same time. We propose new iterative algorithm using game theory in this paper. not only SINR as other algorithms but also influence power threshold. The variable limit is characteristic CR. prove convergence existence Nash equilibrium. According to...

The explosive growth of Internet-of-Things (IoT) applications such as smart cities and Industry 4.0 have led to drastic increase in demand for wireless bandwidth, hence motivating the rapid development new techniques enhancing spectrum utilization needed by generation communication technologies. Among others, dynamic access (DSA) is one most widely accepted approaches. In this paper, an enhancement existing works, we take into consideration inter-node collaborations a environment. Typically,...

Multibeam system is a core part for wireless concurrent communication and massive multiple-input–mulitple-output (MIMO) applications. Traditional techniques, like phased-array or digital beam-forming system, suffer from RF frontends power-hungry high-speed analog-to-digital converters, which makes them complex expensive in fabrication. Inheriting the advantages of reflectarray passive multibeam we reported this letter novel cost-effective concept steerable simultaneous antenna (SMBA). New...

In this letter, we propose a novel rate splitting multiple access-based unmanned aerial vehicle (RSMA-UAV) system to enhance ground communications. The RSMA-UAV acts as an base station (BS) and serves users within its flight period. Our main objective is maximize the downlink energy efficiency (EE) of UAV. To achieve this, formulate non-convex joint optimization problem that considers communication scheduling, common rate, transmit power, UAV trajectory. solve problem, employ block...

Partial discharge (PD) fault analysis is an important tool for insulation condition diagnosis of electrical equipment. In order to conquer the limitations traditional PD diagnosis, a novel feature extraction approach based on variational mode decomposition (VMD) and multi-scale dispersion entropy (MDE) proposed. Besides, hypersphere multiclass support vector machine (HMSVM) used pattern recognition with extracted features. Firstly, original signal decomposed VMD obtain intrinsic functions...

The main challenges of sensing in harsh industrial and biological environments are the limited energy sensor nodes difficulty charging nodes. Simultaneous wireless information power transfer (SWIPT) is a non-invasive option to replenish energy. SWIPT harvests decodes from same RF signal, which influencing design network. In multi-hop multi-flow networks, interference generally exists, has different influence on SWIPT. Route, dependent. However, existing works consider link resource...

Vehicular Ad-hoc Networks (VANETs) are formed by a huge number of vehicles which act as the network nodes and communicate with one another. This emerging paradigm has opened up new business opportunities enables numerous applications ranging from road safety enhancement to mobile entertainment. A fundamental issue that impacts successful deployment VANET is security privacy concerns raised users. However, it challenging task authenticate while fully preserving their privacy. In this work, we...

Computed tomography angiography (CTA) has become the main imaging technique for cardiovascular diseases. Before performing transcatheter aortic valve intervention operation, segmenting images of sinus and nearby tissue from enhanced human heart is essential auxiliary diagnosis guiding doctors to make treatment plans. This paper proposes a nnU-Net (no-new-Net) framework based on deep learning (DL) methods segment aorta near in cardiac CTA images, verifies its accuracy effectiveness. A total...

Although the problem of k-area coverage has been intensively investigated for dense wireless sensor networks (WSNs), how to arrive at a k-coverage deployment that optimizes certain objectives in relatively sparse WSNs still faces both theoretical and practical difficulties. In this paper, we present algorithm LAACAD (Load balancing k-Area Coverage through Autonomous Deployment) move nodes toward coverage, aiming minimizing maximum sensing range required by nodes. enables purely autonomous...

The problem of target localization in WSN (wireless sensor network) has received much attention recent years. However, the performance traditional algorithms will drastically degrade non-line sight (NLOS) environment. Moreover, variable methods have been presented to address this issue, such as optimization-based method and NLOS modeling method. former produces a higher complexity latter is sensitive propagating Therefore, paper puts forward simple identification algorithm based on residual...

Reputation and Trust-based Monitoring Systems (RTMSs) have provided a ubiquitous framework for secure Wireless Sensor Network (WSN) computing. Employing sensors neighborhood monitoring, which is secondary to their intended duties, depletes valuable scarce resources counter-productive in WSNs. In this paper, we propose novel, Connected Dominating Set (CDS)-based reputation monitoring system. Our model the first attempt employ CDS-based backbone securely aggregate of without subjecting them...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Due to resource scarcity, a paramount concern in ad hoc networks is utilizing limited resources efficiently. The self-organized nature of makes the network utility-based approach an efficient way allocate resources. However, effect link instability has not yet been adequately addressed literature. To efficiently address routing problem networks, we integrate cost and stability into utility...

A wireless sensor network becomes dynamic if it is monitoring a time-variant event (e.g., expansion of oil spill in ocean). In such applications, on-line boundary detection crucial function, as allows us to track the variation timely fashion. However, problem very challenging demands highly efficient algorithm cope with dynamics introduced by evolving event. Moreover, many physical events occupy volumes rather than surfaces again), has work for 3D cases. To this end, we propose UNiform Fast...

Owing to the proliferation of sophisticated satellite applications and rapid growth in data-consuming services, refining spectrum efficiency remains a critical issue for systems has been promoted by research community, mainly from perspectives reuse dynamic access. In this paper, we propose new approach optimization multibeam systems-introducing market-based pricing mechanism. key point be highlighted is challenge building market-inspired model that takes into consideration communication...