SPECTRUMNET: Cooperative Spectrum Monitoring Using Deep Neural Networks by M. Suriya, M. G. Sumithra

“…A deep neural network model for intelligent wireless signal identification to perform spectrum monitoring is proposed to perform efficient sensing at low SNR (signal to noise ratio) and preserve hyperspectral image features. …”
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Optimal transmission strategy of diamond channel with limited battery capacity of source node by Taoshen LI, Li SUN, Zhe WANG

“…In order to solve the problem that the energy harvesting uncertainty of node in wireless energy harvesting network makes it difficult for the system to design a reasonable transmission strategy, a diamond channel with limited battery capacity of the source node were constructed.The goal was to maximize the end-to-end throughput of the system.Under the conditions of meeting the constraints of energy and data causality between transmission nodes and no battery energy overflow, a model to maximize the end-to-end throughput of the system was built, and an optimal offline transmission power and rate allocation strategy was proposed.Firstly, based on theoretical analysis and formula derivation, the strategy transformed the optimal transmission problem into the optimal transmission problem on the side of the broadcast channel, and used the water-filling algorithm to solve the optimal total power from the source node to the relay node.Then, the throughput of the source node to each relay node was analyzed based on the cutoff power level in the broadcast channel throughput maximization problem.Finally, according to the data arrival of the relay node, the iterative water-filling method was used to solve the optimal transmission power from the relay node to the destination node, and the optimal rate was solved by extending the optimal rate of the multiple access channel.Simulation results demonstrate the feasibility and correctness of the proposed optimization policies.…”
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Modulation recognition driven by signal enhancement by CHENG Fengyun, ZHOU Jin

“…To achieve recognition of debugging signals in complex channels, reconstructed signals representing global features were for training, and IQ baseband signals which experienced wireless fading were used for testing. The experimental results show that the proposed method can achieve better recognition accuracy performance in small sample training sets and fading channel environments compared to existing recognition methods based on long short-term memory (LSTM), convolutional neural network (CNN), attention mechanism, etc.…”
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Design of Remote Monitoring Iot System Based on 5G and New Optical Fiber Intelligent Structure by Lei Hu

“…The remote monitoring system is mainly a network system with convenient layout, simple maintenance, and high security performance built on the basis of the wireless network, which can realize real-time monitoring, and collects transmit information. …”
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A Study on Zone-Based Secure Multicast Protocol Technique to Improve Security Performance and Stability in Mobile Ad-Hoc Network by Hwanseok Yang

“…Since MANET consists of only nodes and is in wireless communication with limited resources, cooperation between nodes is very important. …”
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Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN by Xiaoqing Hu, Ming Bao, Yu-Hen Hu, Bugong Xu

“…Energy efficient collaborative target tracking in a wireless sensor network (WSN) is considered. It is assumed that the distance estimates of range sensors are contaminated by distance-dependent multiplicative observation noises. …”
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Utilizing sensors networks to develop a smart and context-aware solution for people with disabilities at the workplace (design and implementation) by Ghassan Kbar, Ahmad Al-Daraiseh, Syed Hammad Mian, Mustufa Haider Abidi

“…This has been achieved through the designing and the implementation of a smart unified interface to guide and assist the PWDs. A wireless sensor network has been employed in this context-aware smart solution in order to track and determine user’s location. …”
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Wi-Pest:a method for detecting stored grain pests based on CSI by Shaowei SHAN, Weidong YANG, Le XIAO, Ke WANG

“…The environmental and biological factors that affect the food security during the food storage,such as the food temperature,environment humidity,moisture,gas,mildew,pests and others pose a threat to the food storage security,among which the pest is an important factor threatening food storage security.Therefore,a fast and effective detection method is needed to detect stored grain pests.Some of the existing methods are time consuming,using expensive equipment,potentially harmful to health and inefficient.A non-contact,fast and low-cost detection method for stored grain pests based on the amplitude of the channel state information (CSI) was proposed,namely,wireless-pest (Wi-Pest).The feasibility of the pest detection in the stored grain was verified by using CSI amplitude data.On this basis,a Wi-Pest detection method was designed.Firstly,the amplitude data of CSI was preprocessed by outliers removal,data normalization and noise elimination.Then the principal component analysis (PCA) was used to compress the data and extract the main feature components.Finally,random forest (RF) classification method was used to detect stored grain pests.Experiments show that the abnormal density of live pests in grain heaps can be detected under the line of sight (LOS) scenario,and the detection accuracy of the proposed method can reach 97% on average.…”
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Deployment of Agriculture 4.0 with the Integration of IoT by Sheila Maria Muniz

“…In this Paper, it is proposed to develop a SA System that uses advantages of cutting-edge technologies such as Arduino, IOT and Wireless Sensor Network (WSN). Internet of Things (IoT)-based smart sensors is the new technique for the SA system. …”
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High-accuracy localization for indoor group users based on extended Kalman filter by Tian Wang, Yuzhu Liang, Yaxin Mei, Muhammad Arif, Chunsheng Zhu

“…Moreover, we design a mobile group localization method based on extended kalman filter and believable factor of non-localized nodes, which can alleviate the influence caused by environmental noisy and unstable wireless signals to improve the localization accuracy. …”
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Miniaturized Mechanical Antennas: Advances, Challenges, and Future Directions by Hao Ren

“…By adopting new materials for mechanical antennas, adopting array configurations, adopting receiving antennas with higher sensitivity, and building new electromagnetic‐electromechanical coupled simulation methods, the maximum operation distance may be significantly improved, making mechanical antennas widely implemented in the Internet of Things (IoT), wireless sensor networks (WSN), implantable medical devices (IMD), and portable electronics applications.…”
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A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight Information by Xiaodi Liu, Zengwen Wang, Shitao Zhang

“…Firstly, based on the idea of the water-filling theory in the field of wireless communications, a mathematical programming model that can convert the attribute values into a compatible scale and eliminate the influence of different physical dimensions is constructed to determine the attribute weights. …”
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Quorum Systems towards an Asynchronous Communication in Cognitive Radio Networks by Sylwia Romaszko, Petri Mähönen

“…Recently, quorum systems have been also started to be applied to wireless communications. The objective of this paper is threefold. …”
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Modification of Load Calculation in The Dijkstra Algorithm to Achieve High Throughput and Low Latency on 5G Networks by Eko Kuncoro Adiyanto, Sri Wahjuni, Hendra Rahmawan

“… throughput for high-resolution remote video surveillance. 5G cellular network as today's most advanced wireless technology will be the perfect match for Agriculture 4.0 requirements. …”
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The optimal design of an LNA by using of CAD tool based on the modified inclined planes system optimization by Najmeh Shahraki, Ali Mohammadi

“…Low Noise Amplifier (LNA) is the first critical and important element in the designing of analog VLSI systems and wireless communications technology. In this paper, in order to establish an appropriate trade-off between the contradictory design objectives of an LNA circuit and the improvement of its efficiency and optimality indexes, a Computer-Aided Design (CAD) tool has been used based on the use of soft computing techniques including meta-heuristic intelligent optimization methods. …”
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Non-Terrestrial Network Based Positioning Technologies for Direct-to-Satellite Service by SUN Xiaonan, ZHOU Shidong, KANG Shaoli

“…With the rapid evolution of wireless communication technologies, positioning technologies are undergoing a transformation from dedicated navigation satellite systems towards communication system-assisted positioning and even standalone positioning. …”
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Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network by Meinan ZHANG, Mingqi ZHANG, Fei DING, Hengheng ZHUANG, Hairong MA

“…The integrated satellite-terrestrial relay network (ISTRN) is a necessary part of the next-generation wireless communication system, and has important practical significance for accelerating the construction of my country's air-space-terrestrial integrated network system.In the traditional ISTRN architecture, a large amount of signaling needs to be forwarded to the ground control center for processing, which increases the delay of network control and management.A new cloud fog computing architecture was proposed, which constructs a sub-regional edge fog computing layer between the ground access and the central cloud to improve the flexibility of business flow management and control.Under the cloud network framework, a Q-learning based edge computing offloading strategy was designed, and the offloading performance was evaluated by time delay and energy consumption.Simulation results show that, compared with Min-min algorithm and backtracking algorithm, Q-learning based computational offload algorithm has better performance in terms of time delay and energy consumption, and can achieve a balance between the joint optimization of time delay and energy consumption.…”
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Compact Sine Cosine Algorithm with Multigroup and Multistrategy for Dispatching System of Public Transit Vehicles by Minghui Zhu, Shu-Chuan Chu, Qingyong Yang, Wei Li, Jeng-Shyang Pan

“…This paper studies the problem of intelligence optimization, a fundamental problem in analyzing the optimal solution in a wide spectrum of applications such as transportation and wireless sensor network (WSN). To achieve better optimization capability, we propose a multigroup Multistrategy Compact Sine Cosine Algorithm (MCSCA) by using the compact strategy and grouping strategy, which makes the initialized randomly generated value no longer an individual in the population and avoids falling into the local optimum. …”
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Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic Monitoring by Zhimin Tao, Wei Quan, Hua Wang

“…In this paper, an innovative sensor network of smart road stud (SRS) is developed to enhance traffic detection infrastructure characterized by its functionality in traffic data collection, long/short range wireless data transmission, self-sustained power supply, and remote custom controlled lighting-based traffic guidance. …”
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Improvement in the Gain of UWB Antenna for GPR Applications by Using Frequency-Selective Surface by Iftikhar Ud Din, Sadiq Ullah, Syeda Iffat Naqvi, Raza Ullah, Shakir Ullah, Esraa Mousa Ali, Mohammad Alibakhshikenari

“…The performance of the proposed antenna determines its suitability for the modern day wireless UWB and GPR applications.…”
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