Localization is the basic feature of wireless sensor networks (WSN) and estimating time difference arrival (TDoA), angle (AoA) most used schemes for localization. Underwater network (UWSN) extensively data collection in an underwater environment both military civilian applications. Nevertheless, efficient accurate localization algorithms are essential UWSN because dynamical property surrounding. Also, management, collection, processing WSNs have become a more active topic nowadays computer...

Intelligent reflecting surface (IRS) technology has emerged as a promising way to improve the energy efficiency of wireless communication systems with less complexity and hardware cost. Most existing studies are conducted ideal hardware, however, both physical transceiver IRS suffer from non-negligible impairments which may greatly degrade system performance. In this paper, by considering impairments, we focus on analysis system. Our first contribution is derive optimal receive combining...

In this paper, we study the outage probability minimizing problem in a two-hop cooperative relay network. To reduce probability, existing studies propose many schemes for selection and power allocation, which are usually based on assumption of exact channel state information (CSI). However, it is difficult to obtain perfect instantaneous CSI practical situations where states change rapidly, thus traditional methods would not perform well. Considering these factors, turn emerging...

Route planning is important in transportation. Existing works focus on finding the shortest path solution or using metrics such as safety and energy consumption to determine planning. It noted that most of these studies rely prior knowledge road network, which may be not available certain situations. In this paper, we design a route algorithm based deep reinforcement learning (DRL) for pedestrians. We use travel time metric, plan by predicting pedestrian flow network. put an agent,...

In this letter, we study the outage probability (OP) of intelligent reflecting surface (IRS) assisted full duplex two-way (TW) communication systems, which characterizes performance overcoming transmitted data loss caused by long deep fades. To end, first derive distribution cascaded end-to-end equivalent channel with an arbitrarily given IRS beamformer. Our analysis shows that deriving such in considered case is more challenging than phase-matched Then, derived channel, obtain closed-form...

With the rapid development and application of information technology, blockchain technology (BT) has become an important means to promote integration real economy digital economy. BT reached a certain level for in asset transactions, finance, traceability. However, existing provides no reasonable trading method framework use peer-to-peer (P2P) transactions. This article proposed blockchain-based P2P transaction method, which we simulated using Go programming language. We apply smart...

The rise of the Internet Things (IoT) encourages an emerging computing paradigm - edge which leverages innovations in "last mile" communications infrastructure to provide improved quality service guarantees compute-intensive services such as autonomous driving and support for connected devices. Many high-value applications benefit from integration privacy-sensitive resource-constrained local data streams data-hungry analytic tools like deep neural networks. We propose a practical method...

An extended peridynamic approach for crack propagation analysis in concrete structures was proposed. In the constitutive model, material described as a series of interacting particles, and short-range repulsive force anisotropic behavior were taken into account expression interactive bonding force, which given terms classical elastic constants horizon. The damage defined locally at level pairwise bond, critical stretch bond function fracture strength failure theory. efficiency accuracy...

This paper introduces a distributed spectrum sharing scheme in the context of cognitive radio which enables efficient usage spectrum. is achieved by using past experience based on reinforcement learning. It shows that provides good solution and has potential to significantly improve system performance. Several learning strategies different sets weighting factors are investigated. Comparisons performance given illustrate importance process.

This paper is devoted to the development of cognitive routing techniques for a wireless ad hoc network in order improve scalability and effectively supportable capacity. Different strategies are examined novel capacity-based strategy emphasized. Its capacity performance evaluated using conventional shortest path as benchmark. It shows proposed can reduce overall interference level system by shifting traffic edge network. also support more originating compared with where each node has maximum...

Ultra Dense network (UDN) is considered as one of the promising and efficient communication solution for high throughput large connection numbers scenarios. Due to densification users perspective massive-access opportunities, how optimize multiple access in UDN an important complicated problem. The traditional multi-user schemes may be no longer suitable. Thus, this paper, we investigate issue with densely-deployed points (APs) UDN. Moreover, further enhance system meet rate demands users,...

In this paper, we present a novel distributed spectrum sharing scheme for cognitive radio which can effectively reduce the need sensing. This is achieved by utilizing experience of reinforcement learning. Instead sensing all available arbitrarily, designed to share based on an optimum strategy discovered agents from their interaction with wireless communication environment. It shows that learning enables efficient approach The performance investigated and comparisons no are given illustrate...

Point-of-interest (POI) recommendation is the prevalent personalized service in location-based social networks (LBSNs). A single use of matrix factorization (MF) or deep neural cannot effectively capture complex structure user–POI interactions. In addition, to alleviate data-sparsity problem, current methods primarily introduce auxiliary information users and POIs. Auxiliary often judged be equally valued, which will dissipate some valuable information. Hence, we propose a novel POI method...

With the continuous expansion of distribution system, structure power grid is becoming increasingly complex, and limitations traditional analysis methods are more obvious. In this study, a reliability prediction model network based on back-propagation neural genetic algorithm proposed. Strong correlation factors extracted as input for training, trained used to predict system level in future. The improved by momentum adaptive learning rate, initial weight threshold optimised realise rapid...

Perfect channel state information (CSI) is usually required when considering relay selection and power allocation in cooperative communication. However, it difficult to get an accurate CSI practical situations. In this letter, we study the outage probability minimizing problem based on optimizing transmission power. We propose a prioritized experience replay aided deep deterministic policy gradient learning framework, which can find optimal solution by dealing with continuous action space,...

Abstract In smart cities, the Internet-of-Thing (IoT) provides an enabling communication infrastructure to support tremendous amount of data exchange. Most IoT applications, e.g., wireless local area network, Bluetooth and so forth, utilize channel-hopping scheme suppress transmission security threats. this paper, reduce mutual interference external jamming attacks, multiple novel patterns, i.e., traditional no-hit-zone (NHZ) hopping pattern generalized NHZ pattern, are introduced suit...

With the continuous increase of mobile Internet traffic, user-centric ultra-dense network (UUDN) is proposed as one promising solutions to provide very high area throughput density and flexible access service for users. The limited radio resources cause serious competition among numerous APs. Thus, Non-orthogonal multiple (NOMA), which supports signals transmission on same frequency resource, introduced into UUDN. Then, it an interesting still open problem how organize APs serve user in...