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Journal articles on the topic 'Mobile wireless propagation'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Ma, Shi Qiang, and Xiao Gang Qi. "An Adaptive Location Updates and Propagation Scheme for Mobile Sinks." Applied Mechanics and Materials 44-47 (December 2010): 772–76. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.772.

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Mobile sink can be used to balance energy consumption of sensor nodes in Wireless Sensor Networks (WSNs). Sink is required to inform sensors about its new location information whenever necessary. However, frequent location updates of mobile sink can lead to both rapid energy consumption of sensor nodes and increased collisions in wireless transmissions. We propose ALUPS (A New Solution with Adaptive Location Update and Propagation Scheme) for mobile sinks to resolve this problem. When a sink moves, it only needs to broadcast its location information within a local adaptive area other than amon

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Jing, Nan, Yu Sun, Lin Wang, and Jinxin Shan. "Fine-grained wireless propagation ambience sensing." International Journal of Distributed Sensor Networks 14, no. 10 (2018): 155014771880469. http://dx.doi.org/10.1177/1550147718804699.

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The ubiquitous wireless network infrastructure and the need of people’s indoor sensing inspire the work leveraging wireless signal into broad spectrum for indoor applications, including indoor localization, human–computer interaction, and activity recognition. To provide an accurate model selection or feature template, these applications take the system reliability of the signal in line-of-sight and non-line-of-sight propagation into account. Unfortunately, these two types of signal propagation are analyzed in static or mobile scenario separately. Our question is how to use the wireless signal

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Popov, Valentin I. "Mathematical models of radio wave propagation in heterogeneous environments for wireless networks. Review." Proceedings of the Russian higher school Academy of sciences, no. 3 (November 18, 2024): 25–42. https://doi.org/10.17212/1727-2769-2024-3-25-42.

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The issue of ensuring uniform radio coverage of service areas and the associated reliability of mobile radio systems in the 3G and 4G standards requires a lot of attention upon designing cellular mobile networks. One of the main tasks at the first stage of designing is the mathematical modeling of radio wave propagation under the influence of the environment. This work provides classification of mathematical models of radio wave propagation in cellular mobile communication systems, the algorithm of calculating radio signal strength at the receiving point depending on the distance between the m

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Jafaar, Fahad A. Rida. "Improvement for performance radio frequency in wireless communication based on impulse signal." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 2 (2020): 903–16. https://doi.org/10.11591/ijeecs.v18.i2.pp903-916.

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This research presents the improved performance of mobile wireless communication channel is based on non-line of sight because the mobile propagation channel is very hard to work with direct path between the transmitter and mobile receiver because of city-based area has objects such as rise building, trees, surround structures, and other objects. The mobile wireless spread radio channels have radio propagation mechanisms as a reflection, diffraction, and scattering effect on radio signal as lessening, and distortion or spread time. The most important thing to make real is that the wireless cha

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5

Medbo, Jonas, Pekka Kyosti, Katsutoshi Kusume, et al. "Radio propagation modeling for 5G mobile and wireless communications." IEEE Communications Magazine 54, no. 6 (2016): 144–51. http://dx.doi.org/10.1109/mcom.2016.7498102.

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6

Saligheh Rad, H., and S. Gazor. "Effects of mobile rotational movements in wireless propagation channels." IET Communications 2, no. 9 (2008): 1109. http://dx.doi.org/10.1049/iet-com:20070575.

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Khouzani, M. H. R., Saswati Sarkar, and Eitan Altman. "Optimal propagation of security patches in mobile wireless networks." ACM SIGMETRICS Performance Evaluation Review 38, no. 1 (2010): 355–56. http://dx.doi.org/10.1145/1811099.1811084.

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Varshney, Parul, Ritesh Pratap Singh, and Rakesh Kumar Jain. "Performance Analysis of Millimeter-Wave Propagation Characteristics for Various Channel Models in the Indoor Environment." International Journal of Experimental Research and Review 44 (October 30, 2024): 102–14. http://dx.doi.org/10.52756/ijerr.2024.v44spl.009.

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Due to the recent surge in the proliferation of smart wireless devices that feature higher data speeds, there has been a rise in demand for faster indoor data communication services. Moreover, there is a sharp increase in the amount of mobile data being generated worldwide, and much of this data comes from residential wireless applications like high-definition TV, device-to-device communication, and high data rate indoor networks (i.e., local and cellular). These technologies need large capacity, high data rate indoor wireless networks with huge bandwidth. Consequently, a greater interest exis

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9

Ismail, Abdul Halim, Ryosuke Tasaki, Hideo Kitagawa, and Kazuhiko Terashima. "Optimum Placement of Wireless Access Point for Mobile Robot Positioning in an Indoor Environment." Journal of Robotics and Mechatronics 28, no. 2 (2016): 162–72. http://dx.doi.org/10.20965/jrm.2016.p0162.

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[abstFig src='/00280002/07.jpg' width=""300"" text='The placement objective so that the particular arrangement could provide enough signal data to the mobile robot' ]The Wireless Positioning System (WPS) has gained increasing attention for mobile robot applications in indoor environments over conventional on-board sensors. This is mainly due to their cost effectiveness as well as adaptability for future use. Many literatures on WPS adapted existing wireless infrastructures such as WiFi for mobile robot usage, resulting in relatively impractical accuracy for mobile robot application. A systemat

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Manjula G. Hegde. "Light Weight Concurrent Scheduling of Mobile Sink routing protocol towards Minimization of Propagation Delay against Spatial and Temporal Uncertainties of Cluster based Wireless Sensor Network." Power System Technology 48, no. 1 (2024): 1258–75. http://dx.doi.org/10.52783/pst.387.

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Wireless Sensor Network highly exposed to certain security attacks due to various uncertainties of the network which lead to node compromise. Hence considerable attention has been made by researcher during scheduling of the mobile sink to data collection of sensed information from the sensor nodes. Many secure data aggregation mechanism has been proposed to withstand the network against these kind of attack. Despite of many advantageous, those architectures will lead to several limitations such as large propagation delay and high energy consumption and spatial and temporal uncertainties. In or

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11

Fayed, Ibraheem M. "Radioeng Simulation Tool for Different Wireless Mobile Network Propagation Models." Aljouf Science and Engineering Journal 2, no. 2 (2015): 1–9. http://dx.doi.org/10.12816/0023914.

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12

Yu, Xiaosheng, Peng Ji, Ying Wang, and Hao Chu. "Mean Shift-Based Mobile Localization Method in Mixed LOS/NLOS Environments for Wireless Sensor Network." Journal of Sensors 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/5325174.

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Mobile localization estimation is a significant research topic in the fields of wireless sensor network (WSN), which is of concern greatly in the past decades. Non-line-of-sight (NLOS) propagation seriously decreases the positioning accuracy if it is not considered when the mobile localization algorithm is designed. NLOS propagation has been a serious challenge. This paper presents a novel mobile localization method in order to overcome the effects of NLOS errors by utilizing the mean shift-based Kalman filter. The binary hypothesis is firstly carried out to detect the measurements which conta

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13

Dr. V. Arthi. "A Novel Channel Estimation Technique in MIMO-OFDM Mobile Communication Systems." International Journal of New Practices in Management and Engineering 9, no. 02 (2020): 08–14. http://dx.doi.org/10.17762/ijnpme.v9i02.84.

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4G Wireless communication systems have the inherent capability to foster the multimedia services in terms of bandwidth and data rate. These systems have very high integrity compared to the conventional wireless communication systems. It can fully support extended multimedia services with High Definition quality, audio and video files. Wireless internet and other broad band services provided superior quality signal transmission and reception. The degree of freedom enjoyed by the technology in terms of scalability and reliability is highly commendable. Any basic wireless transmitter sends inform

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14

Mon, Myint Myint, Hla Myo Tun, Lei Lei Yin Win, et al. "Analysis on Wideband Channel Model for High Speed Wireless Communication Systems." Journal of Novel Engineering Science and Technology 4, no. 01 (2025): 33–38. https://doi.org/10.56741/jnest.v4i01.803.

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The paper emphasizes on the analysis on wideband channel model for high speed wireless communication systems. The research problem in this study are based on the following concepts such as (i) Firstly, it is necessary to change to the appropriate physical devices that can support 5G system, (ii) It is required to design a channel that will adapt to the medium that will be convenient for the changed physical devices, and (iii) Mobile terminals that currently use 4G cannot be used in 5G system. The objectives in this study are - to analyze the existing channel model for mobile communication, to

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15

A. Rida, Jafaar Fahad. "Improvement for performance radio frequency in wireless communication based on impulse signal." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 903. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp903-916.

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<p><span>This research presents the improved performance of mobile wireless communication channel is based on non-line of sight because the mobile propagation channel is very hard to work with direct path between the transmitter and mobile receiver because of city-based area has objects such as rise building, trees, surround structures, and other objects. The mobile wireless spread radio channels have radio propagation mechanisms as a reflection, diffraction, and scattering effect on radio signal as lessening, </span>and distortion or spread time. The most important thing to

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16

Lee, Byung-Jin, Ju-Phil Cho, In-Ho Ra, and Kyung-Seok Kim. "Propagation Characterization Based on Geographic Location Variation for 5G Small Cells." Mobile Information Systems 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/7028431.

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Developments in next-generation wireless transmission technology and efficient frequency-use research are based on understanding the characteristics of the exact radio channel. With regard to developments in next-generation mobile communication systems, performance verification of the development system is essential, for which it is necessary to estimate the exact wireless-space channel. This paper presents results of the analysis of radio propagation characteristics based on location variation in outdoor environments for small-cell 5th generation (5G) mobile systems. Changes due to variation

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17

Kasem Mohammed, Abdulghani Saif, and Khalid Hamid Bilal. "Survey of mobile ad hoc networks (manets)." International Journal of Engineering and Computer Science 8, no. 02 (2019): 24484–90. http://dx.doi.org/10.18535/ijecs.v8i02.4229.

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Mobile Ad Hoc Network (MANET) is the one of the type of ad hoc network, the MANET is a collection of two or more devices or nodes or terminals with wireless communications and networking capability that communicate with each other without the aid of any centralized administrator also the wireless nodes that can dynamically form a network to exchange information without using any existing fixed network infrastructure. And it's an autonomous system in which mobile hosts connected by wireless links are free to be dynamically and sometime act as routers at the same time, In MANET, the mobile nodes

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18

P, Varun, Narayanan R. C, R. Suganthi, Mohanaprakash T. A, and S. Derisha Mahil. "Impact of Propagation Environment on the Performance of Direction Oriented Forwarding through Minimum Number of Edge Nodes (DOF-MEN) Routing Protocol In Ad Hoc Networks." International Journal of Electrical and Electronics Research 12, no. 2 (2024): 529–34. http://dx.doi.org/10.37391/ijeer.120226.

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One sort of wireless ad-hoc network is called MANET (Mobile Ad-hoc Network), which is an autonomous network made up of wireless nodes and routers connected by wireless connections. Transmission of data in effective way is important. The DOF-MEN (Direction Oriented Forwarding through Minimum Number of Edge Nodes) protocol is the protocol which lessens the amount of messages for route discovery. It attempts to choose just single node as the next following hop. The node's address is added by the sender. Therefore, only the chosen node will receive and subsequently transmit the data. This protocol

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19

Jean-François, D. Essiben1 Luc E. Ihonock1 and Yong S. Joe2. "ENHANCED PERFORMANCE BYHYPERBOLIC COMPENSATION TECHNIQUEIN CELLULAR WIRELESS NETWORKS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 8, no. 3 (2019): 126–32. https://doi.org/10.5281/zenodo.2607815.

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Being applicable for almost every scenario, a mobile localization of the cellular network has gained increasing interest in recent years. Since Received Signal Strength (RSS) information is available in all mobile phones, RSS-based techniques have become the preferred method for a localization of Global System for Mobile (GSM) communications. We use a COST 231-Hata propagation model with directional and omnidirectional antennas to determine a position of the target. To compare the performance of accurate mobile location, we consider both a classical hyperbolic technique, based on time differen

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20

Sun, Caiyun, Honglin Wang, Dasong Sun, Cheng Zhu, and Jie Zhou. "Correlation Statistics and Parameter Optimization Algorithms for RIS-Assisted Marine Wireless Communication Systems." Electronics 13, no. 17 (2024): 3478. http://dx.doi.org/10.3390/electronics13173478.

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Reconfigurable intelligent surfaces (RISs), as one of the potential key technologies in sixth generation (6G) mobile communications, feature low costs, low energy consumption, and ease of deployment. In this paper, we introduce the RIS technology into the maritime wireless communication scenario, which can transform the wireless transmission environment from uncontrollable to controllable. In the considered communication model, we derive the complex channel impulse response for the RIS propagation link and non-line-of-sight propagation link, respectively. This can be used to capture the physic

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21

Rauch, A., J. Lianghai, A. Klein, and H. D. Schotten. "Fast algorithm for radio propagation modeling in realistic 3-D urban environment." Advances in Radio Science 13 (November 3, 2015): 169–73. http://dx.doi.org/10.5194/ars-13-169-2015.

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Abstract. Next generation wireless communication systems will consist of a large number of mobile or static terminals and should be able to fulfill multiple requirements depending on the current situation. Low latency and high packet success transmission rates should be mentioned in this context and can be summarized as ultra-reliable communications (URC). Especially for domains like mobile gaming, mobile video services but also for security relevant scenarios like traffic safety, traffic control systems and emergency management URC will be more and more required to guarantee a working communi

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22

Pedraza, Luis F., Cesar A. Hernández, and Danilo A. López. "A Model to Determine the Propagation Losses Based on the Integration of Hata-Okumura and Wavelet Neural Models." International Journal of Antennas and Propagation 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/1034673.

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Radioelectric spectrum occupancy forecast has proven useful for the design of wireless systems able to harness spectrum opportunities like cognitive radio. This paper proposes the development of a model that identifies propagation losses and spectrum opportunities in a channel of a mobile cellular network for an urban environment using received signal power forecast. The proposed model integrates the Hata-Okumura (H-O) large-scale propagation model with a wavelet neural model. The model results, obtained through simulations, show that the wavelet neural model forecasts with a high degree of pr

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23

Wang, XiaoMing, ZaoBo He, XueQing Zhao, Chuang Lin, Yi Pan, and ZhiPeng Cai. "Reaction-diffusion modeling of malware propagation in mobile wireless sensor networks." Science China Information Sciences 56, no. 9 (2013): 1–18. http://dx.doi.org/10.1007/s11432-013-4977-4.

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Thavaselan, Gopinathan, and Ranganathan Rani Hemamalini. "Performance Analysis of Coded Reception in Multipath Fading Channels with Wavelet Packet Based OFDM Transmission." Applied Mechanics and Materials 573 (June 2014): 400–406. http://dx.doi.org/10.4028/www.scientific.net/amm.573.400.

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Abstract. Radio propagation on wireless channels depends on many static and dynamic factors like, buildings, trees, mountains, frequency of operation, velocity of mobile stations and interfering sources. Mathematical models for channel are considered for various communication functions like, predicting radio coverage, estimation of interferences from various sources, estimating the characteristics of an alternate transmitter and receiver, achievable data rates and for determining the location for wireless infrastructure. Signal propagation in fading channels cause degradation of signal QoS. OF

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25

Orendain-Castro, Sergio, Eduardo Murillo-Bracamontes, Oscar Edel Contreras-López, and Alberto Hernández-Maldonado. "Solid state resonant circuits and wireless electrical power propagation for mobile devices applications." Revista de Ciencias Tecnológicas 4, no. 4 (2021): 314–28. http://dx.doi.org/10.37636/recit.v44314328.

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In this work, theoretical and experimental results of solid-state resonant circuits for the transmission and reception of wireless electrical energy, for applications in mobile devices are presented. Analytical expressions are found to calculate the voltage range as a function of the distance between the emitter and the load, as well as the current at the front end of an electromagnetic wave receiver. These expressions show the parameters to be varied to achieve a greater range in the transmission of wireless electrical energy. The transmitted voltage and current are measured by an electromagn

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Colmiais, Ivo, Hugo Dinis, and Paulo M. Mendes. "Long-Range Wireless Power Transfer for Moving Wireless IoT Devices." Electronics 13, no. 13 (2024): 2550. http://dx.doi.org/10.3390/electronics13132550.

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Wireless technologies are revolutionizing communications, with recent deployments, such as 5G, playing a key role in the future of the Internet of Things (IoT). Such progress is leading to an increasingly higher number of wirelessly connected devices. These require increased battery use and maintenance, consequently straining current powering solutions. Since most wireless systems rely on radiofrequency (RF) waves for communications and feature low-power technologies, it is increasingly feasible to develop and implement wireless power transfer solutions supported by RF. In this paper, a simult

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Isabona, Joseph, Lanlege Louis Ibitome, Agbotiname Lucky Imoize, et al. "Statistical Characterization and Modeling of Radio Frequency Signal Propagation in Mobile Broadband Cellular Next Generation Wireless Networks." Computational Intelligence and Neuroscience 2023 (January 27, 2023): 1–9. http://dx.doi.org/10.1155/2023/5236566.

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An accurate assessment of the spatial and temporal radio frequency channel characteristics is essential for complex signal processing and cellular network optimization. Current research has employed numerous models to figure out how much signal propagation loss occurs along the propagation paths. However, there are issues in finding the right model for a particular terrain because these models are not universally applicable. By employing the lognormal function and the Maximum Likelihood model, a hybrid probabilistic statistical distribution model was evolved. Three LTE cell site locations in P

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Nurgaliyev, Madiyar, Askhat Bolatbek, Batyrbek Zholamanov, et al. "Machine Learning Based Localization of LoRa Mobile Wireless Nodes Using a Novel Sectorization Method." Future Internet 16, no. 12 (2024): 450. https://doi.org/10.3390/fi16120450.

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Indoor localization of wireless nodes is a relevant task for wireless sensor networks with mobile nodes using mobile robots. Despite the fact that outdoor localization is successfully performed by Global Positioning System (GPS) technology, indoor environments face several challenges due to multipath signal propagation, reflections from walls and objects, along with noise and interference. This results in the need for the development of new localization techniques. In this paper, Long-Range Wide-Area Network (LoRaWAN) technology is employed to address localization problems. A novel approach is

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Zhu, Fusheng, Weiwen Cai, Zhigang Wang, and Fang Li. "AI-Empowered Propagation Prediction and Optimization for Reconfigurable Wireless Networks." Wireless Communications and Mobile Computing 2022 (January 17, 2022): 1–10. http://dx.doi.org/10.1155/2022/9901960.

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Vehicular ad-hoc network (VANET) is one of the most important components to realizing intelligent connected vehicles, which is a high-commercial-value vertical application of the fifth-generation (5G) mobile communication system and beyond communications. VANET requires both ultrareliable low latency and high-data rate communications. In order to evolve towards the reconfigurable wireless networks (RWNs), the 5G mobile communication system is expected to adapt the key parameters of its radio nodes rapidly. However, the current propagation prediction approaches are difficult to balance accuracy

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Ahmed Mohamed Anwar, Mohamed Shehata, Safa M. Gasser, and Hesham El Badawy. "Handoff Scheme for 5G Mobile Networks Based on Markovian Queuing Model." Journal of Advanced Research in Applied Sciences and Engineering Technology 30, no. 3 (2023): 348–61. http://dx.doi.org/10.37934/araset.30.3.348361.

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Wireless and mobile communication systems are in continuous evolution every day. The fifth generation (5G) is the next major phase of the mobile telecommunication and wireless system which aims to improve Quality of Service (QoS) and integrate human-to-machine and machine-to-human communications. In 5G mobile networks, mobility and small coverage areas are the biggest challenges for mobile users. Mobile users may not have the time required to acquire network resources to transfer from one cell to another, resulting in a large number of handoff failures. In this paper, we propose a handoff sche

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31

Liu, Chao, Qinghua Luo, Xiaozhen Yan, Yang Shao, Kexin Yang, and Chunyu Ju. "A distributed localization method for mobile nodes." IOP Conference Series: Materials Science and Engineering 1207, no. 1 (2021): 012001. http://dx.doi.org/10.1088/1757-899x/1207/1/012001.

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Abstract In Wireless Sensor Networks(WSNs), the location services are the basis of many application scenarios. However, for the range-based localization method, the localization accuracy and the system robustness of the distributed localization system are difficult to guarantee, due to the uncertainty of the distance estimation and position calculation are affected by the node state and communication uncertainty. In this paper, we propose the distributed localization method based on anchor node selection and Particle Filter optimization. In this method, we analyze the uncertainty of error prop

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Ivan, Antipov, and Vasilenko Tetyana. "IMPROVING THE MODEL OF DECISION MAKING ABOUT ABNORMAL NETWORK STATE USING A POSITIONING SYSTEM." Eastern-European Journal of Enterprise Technologies 1, no. 9 (97) (2019): 6–11. https://doi.org/10.15587/1729-4061.2019.157001.

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We have proposed to supplement the model of decision making about abnormal states of a wireless network under conditions of uncertainty by another attribute ‒ the location of wireless mobile and stationary devices in a controlled network. The method of trilateration, based on the measurement of signal strength at three points, is considered. This method has a high accuracy of determining the location of a wireless device, provided that the most accurate model of radio waves propagation is constructed. However, given the specificity of radio waves propagation inside the premise, it is rather di

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Yu, Fucai, Euisin Lee, Soochang Park, and Sang-Ha Kim. "A simple location propagation scheme for mobile sink in wireless sensor networks." IEEE Communications Letters 14, no. 4 (2010): 321–23. http://dx.doi.org/10.1109/lcomm.2010.04.092330.

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Sarkar, T. K., W. Dyab, M. N. Abdallah, et al. "Electromagnetic Macro Modeling of Propagation in Mobile Wireless Communication: Theory and Experiment." IEEE Antennas and Propagation Magazine 54, no. 6 (2012): 17–43. http://dx.doi.org/10.1109/map.2012.6387779.

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Alex, Akohoule, Bamba Aliou, Kamagate Aladji, Konate Adama, Oussama Tabbabi, and Asseu Olivier. "MEASUREMENTSBASEDEVALUATION OF PATHLOSSEXPONENTS IN URBAN OUTDOORENVIRONMENTS." International Journal of Advanced Research 9, no. 03 (2021): 72–79. http://dx.doi.org/10.21474/ijar01/12556.

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In wireless networks, propagation models are used to assess the received power signal and estimate the propagation channel. These models depend on the pathloss exponent (PLE) which is one of the main parameters to characterize the propagation environment. Indeed, in the wireless channel, the path loss exponent has a strong impact on the quality of the links and must therefore be estimated with precision for an efficient design and operation of the wireless network. This paper addresses the issue of path loss exponents estimation for mobile networks in four outdoor environments. This study is b

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ZHANG, Yi, Wenfei HU, JunWu ZHANG, and Jing ZHANG. "Wireless Channel Propagation Model for Inland Waterway Bridge Scenario." Promet - Traffic&Transportation 36, no. 5 (2024): 934–45. http://dx.doi.org/10.7307/ptt.v36i5.606.

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Intelligent shipping is a crucial part of the transportation system, while inland river intelligent shipping is a major safeguard of intelligent transportation. Compared with the studies of mobile fading channels in land-based environments, less current research has focused on channel measurements and modeling for inland waterway bridge environments. In this paper, a segmenting radio channel model is proposed for inland highway and railway combined bridges. The ship's path under the bridge was divided into three phases, and the attenuation of signal strength was modelled separately for each. H

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Gradoni, Gabriele, and Marco Di Renzo. "Smart Surface Radio Environments." Reviews of Electromagnetics 1 (November 7, 2022): 1–42. http://dx.doi.org/10.53792/roe/2022.1/21012.

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This Roadmap takes the reader on a journey through the research in electromagnetic wave propagation control via reconfigurable intelligent surfaces. Metasurface modelling and design methods are reviewed along with physical realisation techniques. Several wireless applications are discussed, including beam-forming, focusing, imaging, localisation, and sensing, some rooted in novel architectures for future mobile communications networks towards 6G.

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Guo, Ruolin, Danyang Qin, Min Zhao, and Guangchao Xu. "Mobile target localization based on iterative tracing for underwater wireless sensor networks." International Journal of Distributed Sensor Networks 16, no. 7 (2020): 155014772094063. http://dx.doi.org/10.1177/1550147720940634.

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In underwater wireless sensor networks, sensor position information has important value in network protocols and collaborative detection. However, many challenges were introduced in positioning sensor nodes due to the complexity of the underwater environment. Aiming at the problem of the stratification effect of underwater acoustic waves, the long propagation delay of messages, as well as the mobility of sensor nodes, a mobile target localization scheme for underwater wireless sensor network is proposed based on iterative tracing. Four modules are established in the mobile target localization

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T., Priyanka. "Wireless Communication – A Study." Journal of Optoelectronics and Communication 5, no. 3 (2023): 40–46. https://doi.org/10.5281/zenodo.10258867.

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<i>Both wired and wireless communication systems are available, as well as directed and unguided communication media. A physical channel, such as coaxial cables, twisted pair cables, optical fiber links, etc., is the medium in wired communication, and it directs the signal's propagation from one point to another. We refer to this kind of media as Guided Medium. The transmission of data over a distance without the need of wires, cables, or other electrical conductors is referred to as wireless communication. One of the key means of sending data or information to other devices is wireless commun

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Al-Ka'bi, Amin. "Computation of Extended Suzuki Mobile Fading Channel (Type I) Parameters." ECTI Transactions on Electrical Engineering, Electronics, and Communications 15, no. 2 (2019): 18–25. http://dx.doi.org/10.37936/ecti-eec.2017152.171313.

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The analysis and modeling of mobile fading communications channels has been an active research topic since early beginnings of mobile radio systems. In mobile wireless communication systems, the multipath propagation in addition to the movement of the receiver and/or the transmitter leads to drastic and random fluctuations of the received signal. For flat fading channels, the extended Suzuki process of type (I) has been proposed as a stochastic model of such received signal fluctuations. In this paper we discuss this stochastic model and an appropriate deterministic model, and subsequently pre

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Du, Bo, Haiyan Wang, and Maoxing Liu. "An information diffusion model in social networks with carrier compartment and delay." Nonlinear Analysis: Modelling and Control 23, no. 4 (2018): 568–82. http://dx.doi.org/10.15388/na.2018.4.7.

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With the wide applications of the communication networks, the topic of information networks security is getting more and more attention from governments and individuals. This paper is devoted to investigating a malware propagation model with carrier compartment and delay to describe the process of malware propagation in mobile wireless sensor networks. Based on matrix theory for characteristic values, the local stability criterion of equilibrium points is established. Applying the linear approximation method of nonlinear systems, we study the existence of Hopf bifurcation at the equilibrium po

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Serkov, Aleksandr, Oleg Kasilov, Bogdan Lazurenko, Volodimir Pevnev, and Karyna Trubchaninova. "Strategy of building a wireless mobile communication system in the conditions of electronic counteraction." Radioelectronic and Computer Systems, no. 2 (May 25, 2023): 160–70. http://dx.doi.org/10.32620/reks.2023.2.13.

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The subject of research in this article is the process of building a mobile communication system that operates under electronic countermeasures. The aim is to develop recommendations for building a wireless mobile communication system that operates effectively in a complex interfering electromagnetic environment. The strategy for building a mobile wireless communication system is based on the use of a grouping of low-altitude UAVs with ultra-wideband signal technology circulating in control and communication channels, with the integration of artificial intelligence elements into its structure.

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Rahayu, Yusnita, and Ahmad Sofyan Lubis. "Cellular Network Planning Toward 2021 Case Study: Bukit Raya District Pekanbaru." International Journal of Electrical, Energy and Power System Engineering 1, no. 1 (2018): 21–25. http://dx.doi.org/10.31258/ijeepse.1.1.21-25.

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Due to the advancement of telecommunication platform, users are now demanding high performance application. Propagation models play a vital role in the characterization and design of wireless and mobile communications networks. However, if they are utilized in a different environment than the one they were formulated for, propagation path-loss models may produce unacceptable deviation in predictions. Nowadays every mobile service provider continues to build a telecommunications tower with little regard for its impact on the area function. This paper presents the cellular network planning in th

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Wu, Cheng Dong, Peng Da Liu, Yun Zhou Zhang, Long Cheng, and Jing Yu Ru. "A New Robust Tracking Approach in NLOS Environments." Applied Mechanics and Materials 373-375 (August 2013): 382–87. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.382.

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In wireless sensor networks, NLOS propagation often enlarges the errors of position estimates when time-of-arrival (TOA) measurements are used. To mitigate the effects caused by NLOS propagation, herein, an EKF-based robust non-parametric approach is proposed. In this paper, we utilize the variable kernel method to obtain an approximate noise density function, which is inexpensively computational and then used to improve the mobile positioning accuracy. Note that the standard EKF often works well when NLOS error is adequately low. This property could also be used to improve the accuracy of mob

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Wang, Xiao-ming, Cheng-bo Li, and Ying-shu Li. "A Stochastic Model of Malicious Data Packet Propagation in Mobile Wireless Sensor Networks." Journal of Electronics & Information Technology 35, no. 6 (2014): 1290–97. http://dx.doi.org/10.3724/sp.j.1146.2012.00945.

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Chatzigiannakis, Ioannis, Athanasios Kinalis, and Sotiris Nikoletseas. "Efficient data propagation strategies in wireless sensor networks using a single mobile sink." Computer Communications 31, no. 5 (2008): 896–914. http://dx.doi.org/10.1016/j.comcom.2007.12.011.

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Wang, Xiaoming, Zaobo He, and Lichen Zhang. "A Pulse Immunization Model for Inhibiting Malware Propagation in Mobile Wireless Sensor Networks." Chinese Journal of Electronics 23, no. 4 (2014): 810–15. https://doi.org/10.23919/cje.2014.10852003.

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الروياتي, علي عبدالحفيظ, محمد محمود الشوماني та عبد القادر محمد الروياتي. "بناء نموذج فقد المسار للاتصالات اللاسلكية في المناطق القروية بمدينة مصراتة في ليبيا باستخدام تقنيات تعلم الآلة". International Science and Technology Journal 34, № 1 (2024): 1–24. http://dx.doi.org/10.62341/ammr2324.

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Path loss prediction is of great importance in studies of designing, developing, and improving the performance of wireless networks and mobile communication systems of the 5G which requires of accuracy in performance and reduction in losses. Therefore, new models should be proposed to predict path loss propagation with high accuracy and less complexity. In this paper, a path loss model was designed and implemented using artificial intelligence and machine learning techniques, which training and testing on a real database created based on maximum measured distance and received power from the ba

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Luo, Qinghua, Chao Liu, Xiaozhen Yan, et al. "A Distributed Localization Method for Wireless Sensor Networks Based on Anchor Node Optimal Selection and Particle Filter." Sensors 22, no. 3 (2022): 1003. http://dx.doi.org/10.3390/s22031003.

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In wireless sensor networks, due to the significance of the location information of mobile nodes for many applications, location services are the basis of many application scenarios. However, node state and communication uncertainty affect the distance estimation and position calculation of the range-based localization method, which makes it difficult to guarantee the localization accuracy and the system robustness of the distributed localization system. In this paper, we propose a distributed localization method based on anchor nodes selection and particle filter optimization. In this method,

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Kazakov, Gennady. "Estimation of the Achievable Performance of Mobile Ad Hoc Networks with Optimal Link State Routing." Inventions 8, no. 5 (2023): 108. http://dx.doi.org/10.3390/inventions8050108.

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The paper explores the challenges of constructing self-organizing wireless mobile ad hoc networks (MANETs) utilizing Optimal Link State Routing (OLSR) with MPR (MultiPoint Relay) optimization and quality control through the RSVP (Resource Reservation Protocol). Analytical expressions are presented for calculating the achievable network characteristics, including route acquisition time, network efficiency (routing overhead), packet transmission delay (end-to-end delay), and signal propagation losses between nodes assuming no packet collisions within the network nodes. The possibility of network

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