In industrial Internet of things (IIoT), peer-to-peer (P2P) energy trading ubiquitously takes place in various scenarios, e.g., microgrids, harvesting networks, and vehicle-to-grid networks. However, there are common security privacy challenges caused by untrusted nontransparent markets these scenarios. To address the challenges, we exploit consortium blockchain technology to propose a secure system named blockchain. This can be widely used general scenarios P2P getting rid trusted...

UAVs-enabled Mobile Crowdsensing (UMCS) has gained considerable attention recently, but it is challenging to meet the data collection needs of entire city using only UAV with limited energy. Furthermore, how effectively minimize Age-of-Information (AoI) and ensure quality not been well solved in previous studies. Therefore, this paper proposes a hybrid optimization framework for AoI minimization, which recruits massive distributed workers as main force collection, while acts collaborator...

Due to high costs and power consumptions, fully digital baseband precoding schemes are usually prohibitive in millimeter-wave massive MIMO systems. Therefore, hybrid strategies become promising solutions. In this paper, we present a novel real-time yet high-performance strategy. Specifically, the eigenvectors corresponding larger eigenvalues of right unitary matrix after singular value decomposition on an array response used abstract angle information analog matrix. As obtained correspond...

Cloud-edge collaboration can overcome the shortcomings of high latency centralized model cloud computing and insufficient power edge computing, better meet needs various application scenarios, which has become a research hotspot in recent years. The 6 G network is driven by deep integration will further accelerate collaborative integrated development datacenter, servers, end devices, application. This paper considers combination studies problem task offloading with optimization objectives...

Field Programmable Gate Array (FPGA) has become an efficient accelerator for convolutional neural network (CNN) inference due to its high performance and flexibility. To further improve the of CNN on FPGAs, Intellectual Property core (IP core) called Deep Learning Processor Unit (DPU) is released by Xilinx. Unlike previous FPGA-based hardware designs focusing specific functions or CNNs, DPU IP supports ample basic deep learning, developers can take advantage DPUs accelerate conveniently. In...

Compressed sensing technology is one of the effective techniques to effectively reduce amount data transmission in wireless sensor networks. can that a node undertakes from n m, where m ≪ n, but we still hope further bears improve network lifetime. In this paper, Compressive Sensing based Clustering Joint Annular Routing Data Gathering (CS-CARDG) scheme proposed life. The key adopted by CS-CARDG is: collected cluster. first forms cluster, and each cluster sends packet head. Each...

Multi-Access Edge Computing (MEC) is a promising paradigm that providing cloud-like service for handling the high-complexity and latency-sensitive applications on user equipment (UE) via computation offloading. However, execution reliability rarely considered in current MEC studies, which an important factor to guarantee quality of (QoS). For that, this paper considers energy-saving offloading satisfy latency requirements application. Specifically, we formulate optimization problem minimize...

The technology of software-defined devices has great prospect in updating the programs sensing to enable adapt new environments and applications. However, effectively spread code each node software-defined-based wireless sensor networks (WSNs) is still a challenging task. In this paper, proportion duty cycle length-based broadcast (PDLB) scheme proposed disseminate cycle-based WSNs fast energy-efficient style. PDLB scheme, sink first initiates broadcast. Then, nodes that have received start...

Cognitive femtocell has emerged as one of the promising ways to solve indoor coverage and spectrum shortage problems in cellular networks. However, it is a challenge motivate both macro base station (MBS) access points (FAPs) adopt this hybrid policy. In paper, we propose systematic dynamic sharing framework for orthogonal frequency-division multiple-access-based cognitive macro-femtocell framework, MBS offloads some user equipments (MUEs) FAP improve transmission performance save energy....

In recent years, the rapid development of urbanization has posed enormous challenges to transportation, security management, quality life, and so on, which makes research smart city important. As an information-driven project, strong communication infrastructures are required for connecting objects, people, sensors together. a consequence, optimization wireless network is primary premise support improve services. The challenge lies in difficulty achieve quantitative description networks due...

Abstract The Internet of Things (IoT) is the latest development, with billions Internet-connected devices and a wide range industrial applications. Wireless sensor networks are an important part Things. It has received extensive attention from researchers due to its large-scale, self-organizing, dynamic characteristics been widely used in industry, traffic information, military, environmental monitoring, so on. With development microprocessor technology, nodes becoming more powerful, which...

Cyber-physical-social (CPS) systems integrate Big Data Collectors (BDCs), Service Organizers (SOs) and users to build a unified data-centric computing framework. In CPS systems, BDCs leverage vast variety of sensing devices collect cyber-physical-social data, report these data SOs orchestrate various services provided users, thus offering great potential for solving complex network tasks that are far beyond the capabilities existing networks. However, due lack an economic model describe such...

Product codes (PCs) are typically decoded using iterative bounded distance decoding (iBDD) to ensure a low complexity. To obtain further performance gain, soft-aided algorithm, termed the iBDD with scaled reliability (iBDD-SR), was proposed for PCs. In this paper, we propose an enhanced iBDD-SR by introducing threshold and memory when passing messages between component decoders. The resulting algorithm is referred as threshold-based binary message (TB-BMP) memory. soft of BDD output at...

Rapid, reliable and energy-efficient programing code dissemination is a challenging issue offers programmable flexible network architecture for software-defined wireless networks (SDWNs). However, many schemes codes in large-scale incur longer convergence time (DCT) lower energy efficient loss nature of channels. In this paper, an adaptive broadcast (ABD) scheme proposed to achieve low DCT high lifetime SDWNs. An ABD makes full use left nodes areas far from the sink. scheme, are constantly...

With the development of software-defined network (SDN) technology, sensor nodes can update soft codes to enable themselves have new functions so as make wireless (WSN) full vitality. However, how spread code every node in quickly and energy-efficient is a challengeable issue. In this paper, Two-hop Neighborhood Information joint Double Broadcast Radius (TNI-DBR) scheme proposed disseminate duty cycle-based WSNs fast style. The main innovations paper are follows. TNI-DBR makes use unbalanced...

Wireless Power Transfer (WPT) technology is considered as a promising approach to make Rechargeable Sensor Network (WRSN) work perpetually. In WRSN, vehicle exists, termed mobile charger, which can move close sensor nodes and charge them wirelessly. Due the charger’s limited traveling distance speed, not every node that needs be charged may serviced in time. Thus, such scenario, how route plan for charger determine should first critical issue related network’s Quality of Service (QoS). this...