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Journal articles on the topic 'The coverage area'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Papatheodorou, Sotiris, Anthony Tzes, and Yiannis Stergiopoulos. "Collaborative visual area coverage." Robotics and Autonomous Systems 92 (June 2017): 126–38. http://dx.doi.org/10.1016/j.robot.2017.03.005.

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2

Larionova, Svetlana, Nuno Almeida, Lino Marques, and A. T. de Almeida. "Olfactory coordinated area coverage." Autonomous Robots 20, no. 3 (2006): 251–60. http://dx.doi.org/10.1007/s10514-006-7099-7.

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3

陈, 奇. "Video Sensor Area Coverage Algorithm." Computer Science and Application 12, no. 04 (2022): 913–22. http://dx.doi.org/10.12677/csa.2022.124093.

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4

Li, Nan, and Elena Dubrova. "Area-efficient high-coverage LBIST." Microprocessors and Microsystems 38, no. 5 (2014): 368–74. http://dx.doi.org/10.1016/j.micpro.2014.05.002.

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5

Fazli, Pooyan, Alireza Davoodi, and Alan K. Mackworth. "Multi-robot repeated area coverage." Autonomous Robots 34, no. 4 (2013): 251–76. http://dx.doi.org/10.1007/s10514-012-9319-7.

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6

anter, Emam. "Investigation of Blockage Upstream Box Coverage on the Scour Pattern in the Open Channel." International Journal of Engineering and Advanced Technology 11, no. 6 (2022): 53–59. http://dx.doi.org/10.35940/ijeat.f3693.0811622.

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Under sub-critical flow conditions, the presence of blockage (solid wastes and weeds) upstream of box coverage and the scours pattern downstream of the coverage was explored in this study. The upstream blocking was simulated using 48 runs in an artificial trapezoidal cross-section with three square box coverages of side dimensions 8.80, 10.40, and 12.90 cm, four water flows of 2, 5, 8, and 11 L/s, and four blockage ratios of 0, 10, 20, and 30% relative to the coverage cross-section area. To estimate the scour hole characteristics, a 2.00 m long, 0.60 m bed width, and 0.30 m deep sand basin fil

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7

Yu, Jiguo, Shengli Wan, Xiuzhen Cheng, and Dongxiao Yu. "Coverage Contribution Area Based $k$ -Coverage for Wireless Sensor Networks." IEEE Transactions on Vehicular Technology 66, no. 9 (2017): 8510–23. http://dx.doi.org/10.1109/tvt.2017.2681692.

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8

Deng, Xiu, Jiguo Yu, Dongxiao Yu, and Congcong Chen. "Transforming Area Coverage to Target Coverage to Maintain Coverage and Connectivity for Wireless Sensor Networks." International Journal of Distributed Sensor Networks 8, no. 10 (2012): 254318. http://dx.doi.org/10.1155/2012/254318.

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Area coverage is one of the key issues for wireless sensor networks. It aims at selecting a minimum number of sensor nodes to cover the whole sensing region and maximizing the lifetime of the network. In this paper, we discuss the energy-efficient area coverage problem considering boundary effects in a new perspective, that is, transforming the area coverage problem to the target coverage problem and then achieving full area coverage by covering all the targets in the converted target coverage problem. Thus, the coverage of every point in the sensing region is transformed to the coverage of a

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9

Dudhat, Amitkumar, and Tatik Mariyanti. "Indoor Wireless Network Coverage Area Optimization." International Journal of Cyber and IT Service Management 2, no. 1 (2022): 55–69. http://dx.doi.org/10.34306/ijcitsm.v2i1.86.

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The presence of interference has a significant impact on wireless network connections indoors. Because of the effects of multipath propagation, such as reflection, refraction, and scattering of radio waves by the structure of the building, the sent signal can usually be received in free space or via more than one pathway, and the consequence might be a phenomenon known as multipath fading. For different results, propagation models have been identified, which provide the propagation features of the initial evaluation. There are two types of wireless propagation models: empirical and theoretical

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10

Ulfah, Maria. "Analisa Coverage Area Jaringan 4G LTE." JTT (Jurnal Teknologi Terpadu) 5, no. 1 (2017): 63. http://dx.doi.org/10.32487/jtt.v5i1.213.

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11

Nevill, Penelope. "Area-Based Management Tools, Including Marine Protected Areas." Proceedings of the ASIL Annual Meeting 111 (2017): 247–51. http://dx.doi.org/10.1017/amp.2017.77.

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Area based management tools (ABMTs) such as marine protected areas (MPAs) are recognized by scientists and the international community as essential to promote the conservation and management of oceans and fisheries. They have been shown to enhance population resilience to climate-driven disturbance. In 2005 the Conference of the Parties to the Convention on Biological Diversity 1992 adopted a target MPA coverage of 10 percent of coastal and marine areas by 2012. In 2010 it extended the target deadline to 2020. By then the global MPA coverage was just over 1 percent. Recent statistics are more

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12

Wu, Yue, Jiang Zhu, and Kai Gao. "Multi-UAVs Area Decomposition and Coverage Based on Complete Region Coverage." IOP Conference Series: Materials Science and Engineering 490 (April 12, 2019): 062009. http://dx.doi.org/10.1088/1757-899x/490/6/062009.

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13

Cascarini de Torre, L. E., J. L. Llanos, and E. J. Bottani. "Nitrogen cross-sectional area on standard graphite." Collection of Czechoslovak Chemical Communications 53, no. 2 (1988): 251–57. http://dx.doi.org/10.1135/cccc19880251.

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Nitrogen physical adsorption at 77.5 and 80.4 K on a standard graphite was studied with the purpose too analyze adsorption models and to determine nitrogen cross-sectional areas for each model. With this intention different models, such as Van der Waals, Langmuir, and BET, which describe the adsorption process at different surface coverages were employed. Molar differential entropies and isosteric heats of adsorption were calculated. A two-dimensional phase transition was confirmed. Adsorbed molecule cross-sectional areas were determined at different surface coverages, by direct comparison wit

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14

Munawar, Hafiz Suliman, Ahmed W. A. Hammad, and S. Travis Waller. "Disaster Region Coverage Using Drones: Maximum Area Coverage and Minimum Resource Utilisation." Drones 6, no. 4 (2022): 96. http://dx.doi.org/10.3390/drones6040096.

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The purpose of this study is to develop a design for maximum area drone coverage in a post-disaster flood situation. When it comes to covering a disaster-region for monitoring and detection of the extent of damage and losses, a suitable and technically balanced approach is vital to achieving the best solution while covering the maximum affected area. Therefore, a mathematical optimisation model is proposed to effectively capture maximum images of the impacted region. The particle swarm optimisation (PSO) algorithm is used to solve the optimisation problem. Modern relief missions heavily rely o

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15

Tao, Wang, and Zhang Jin. "Remote Sensing Image Characteristics and Typical Area Analysis of Taiyuan Xishan Ecological Restoration Area." Sensors 23, no. 4 (2023): 2108. http://dx.doi.org/10.3390/s23042108.

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The Taiyuan Xishan Ecological Restoration Zone is located in the west of Taiyuan City and belongs to the Xishan Coalfield. Due to the resource development activity of coal mining, which is caused by coal gangue accumulation, surface vegetation degradation, bare surfaces, and other phenomena, it is most common in this area. These have an impact on the surface ecology; however, after ecological restoration, the surface ecology has been greatly improved. There are many extraction models of vegetation coverage based on pixel dichotomology combined with multispectral vegetation index, but we believ

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16

Agarwal, Saurav, and Srinivas Akella. "Area Coverage With Multiple Capacity-Constrained Robots." IEEE Robotics and Automation Letters 7, no. 2 (2022): 3734–41. http://dx.doi.org/10.1109/lra.2022.3146952.

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17

Swiatek, Anna, Iwona Stanislawska, Zbigniew Zbyszynski, and Beata Dziak-Jankowska. "Extension of EGNOS ionospheric correction coverage area." Acta Geophysica 62, no. 1 (2013): 259–69. http://dx.doi.org/10.2478/s11600-013-0166-5.

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18

Matisziw, Timothy C., and Alan T. Murray. "Area coverage maximization in service facility siting." Journal of Geographical Systems 11, no. 2 (2009): 175–89. http://dx.doi.org/10.1007/s10109-009-0081-0.

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19

Sancholuz, Arturo G. "Oblique orientation augments UV detector coverage area." Fire Technology 24, no. 2 (1988): 100–109. http://dx.doi.org/10.1007/bf01041335.

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20

Tominaga, Ayumu, Eiji Hayashi, and Ryusuke Fujisawa. "Graph-Based Path Generation for Area Coverage." Proceedings of International Conference on Artificial Life and Robotics 25 (January 13, 2020): 183–86. http://dx.doi.org/10.5954/icarob.2020.os23-6.

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21

Braga, José, Pedro Calado, P. B. Sujit, and J. B. Sousa. "Fault Tolerant Area Coverage Using Underwater Vehicles." IFAC Proceedings Volumes 45, no. 5 (2012): 94–99. http://dx.doi.org/10.3182/20120410-3-pt-4028.00017.

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22

Priyadarshi, Rahul, and Bharat Gupta. "Coverage area enhancement in wireless sensor network." Microsystem Technologies 26, no. 5 (2019): 1417–26. http://dx.doi.org/10.1007/s00542-019-04674-y.

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23

Siqueira, Isabela G., Linnyer Beatrys Ruiz, Antonio A. F. Loureiro, and José Marcos Nogueira. "Coverage area management for wireless sensor networks." International Journal of Network Management 17, no. 1 (2007): 17–31. http://dx.doi.org/10.1002/nem.604.

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24

Dr., Emam A. Osman. "Investigation of Blockage Upstream Box Coverage on the Scour Pattern in the Open Channel." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 6 (2022): 53–60. https://doi.org/10.35940/ijeat.F3693.0811622.

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<strong>Abstract: </strong>Under sub-critical flow conditions, the presence of blockage (solid wastes and weeds) upstream of box coverage and the scours pattern downstream of the coverage was explored in this study. The upstream blocking was simulated using 48 runs in an artificial trapezoidal cross-section with three square box coverages of side dimensions 8.80, 10.40, and 12.90 cm, four water flows of 2, 5, 8, and 11 L/s, and four blockage ratios of 0, 10, 20, and 30% relative to the coverage cross-section area. To estimate the scour hole characteristics, a 2.00 m long, 0.60 m bed width, and

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25

Song, Jiaman. "Evaluation Method for Road Area Coverage of Roadside Surveillance Cameras." Highlights in Science, Engineering and Technology 126 (January 10, 2025): 65–71. https://doi.org/10.54097/6pmvxv78.

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As the number of surveillance cameras has increased rapidly, the issues of coverage blindness, coverage overlap and lack of vision resulting from an irrational surveillance layout have become increasingly prominent. This has led to a waste of resources and a reduction in surveillance quality. The conventional methodology for evaluating road coverage is inadequate for accurately assessing the actual monitoring capacity of the camera. In light of the aforementioned issues, this paper puts forth a novel road coverage assessment method based on the monitoring camera perception model. This approach

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26

Siswanto, Ahmad Nur. "Design and Build a Smartphone-Based Budget Coverage Area Link Application Module." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 3, no. 2 (2016): 14–19. http://dx.doi.org/10.33795/jartel.v3i2.215.

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Coverage is needed to determine the amount of signal coverage that can be reached by the antenna at the base station. Therefore, in order to know the coverage area of ??a base station, a link budget coverage area application is needed. The purpose of making a link budget coverage area calculation application system at a base station is to assist in calculating the link budget to determine the coverage area of ??a base station and is also used as a learning module for mobile communication systems at State Polytechnic of Malang. The method of determining the coverage area is done in 2 ways, name

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27

Qin, Ning-ning, and Jia-le Chen. "An area coverage algorithm for wireless sensor networks based on differential evolution." International Journal of Distributed Sensor Networks 14, no. 8 (2018): 155014771879673. http://dx.doi.org/10.1177/1550147718796734.

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Lifetime requirements and coverage demands are emphasized in wireless sensor networks. An area coverage algorithm based on differential evolution is developed in this study to obtain a given coverage ratio [Formula: see text]. The proposed algorithm maximizes the lifetime of wireless sensor networks to monitor the area of interest. To this end, we translate continuous area coverage into classical discrete point coverage, so that the optimization process can be realized by wireless sensor networks. Based on maintaining the ε-coverage performance, area coverage algorithm based on differential ev

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28

Peng, Song, and Yonghua Xiong. "An Area Coverage and Energy Consumption Optimization Approach Based on Improved Adaptive Particle Swarm Optimization for Directional Sensor Networks." Sensors 19, no. 5 (2019): 1192. http://dx.doi.org/10.3390/s19051192.

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Coverage is a vital indicator which reflects the performance of directional sensor networks (DSNs). The random deployment of directional sensor nodes will lead to many covergae blind areas and overlapping areas. Besides, the premature death of nodes will also directly affect the service quality of network due to limited energy. To address these problems, this paper proposes a new area coverage and energy consumption optimization approach based on improved adaptive particle swarm optimization (IAPSO). For area coverage problem, we set up a multi-objective optimization model in order to improve

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29

Rachman, Herlambang Aulia, and Abd Rahman As-Syakur. "Spatio-Temporal Annual Changes of Mangrove Vegetation Coverages in Porong Estuary Based on Sentinel-2 Imagery." Rekayasa 16, no. 1 (2023): 35–41. http://dx.doi.org/10.21107/rekayasa.v16i1.18882.

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Mangrove is a typical coastal ecosystem with high productivity and has a number of ecosystem services. However this ecosystem is vulnerable particularly in urban areas due to land use change and illegal logging. Sidoarjo is one of the most developed urban area in the East Java Province, with mangrove ecpsystem scattered along the Porong estuary. This estuary is also the location of mudflow from the famous Lapindo mud disaster since 2006. This study aims to analyze the changes of mangrove coverages around the Porong estuary using satellite imagery data. Fractional Vegetation Coverage (Fv) was u

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30

Wang, Shen Shen, Wan Fang Che, Jin Fu Feng, and Ming Zhong Li. "A New Approach for Coverage Area Computing of Radar Network." Advanced Materials Research 328-330 (September 2011): 1990–94. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.1990.

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Traditional methods regard coverage area of radar network as the union of every radar’s coverage area. Aiming at this issue, the relationship among radar detection range, radar cross section, signal-to-noise ratio, detection probability and false alarm probability is analyzed. Detection probability model for single radar is established. Calculation method of detection probability for radar network is also researched. Coverage area of radar network can be obtained according to the detection probability. Simulation results show coverage area of radar network is not simply the union of every rada

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31

Tossa, Frantz, Wahabou Abdou, Keivan Ansari, Eugène C. Ezin, and Pierre Gouton. "Area Coverage Maximization under Connectivity Constraint in Wireless Sensor Networks." Sensors 22, no. 5 (2022): 1712. http://dx.doi.org/10.3390/s22051712.

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Wireless sensor networks (WSNs) have several important applications, both in research and domestic use. Generally, their main role is to collect and transmit data from an ROI (region of interest) to a base station for processing and analysis. Therefore, it is vital to ensure maximum coverage of the chosen area and communication between the nodes forming the network. A major problem in network design is the deployment of sensors with the aim to ensure both maximum coverage and connectivity between sensor node. The maximum coverage problem addressed here focuses on calculating the area covered b

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32

Lu, W. J., Q. Xu, C. Z. Lan, et al. "DATA-DRIVEN REAL-TIME ANALYSIS SERVICE FOR SATELLITE AREA COVERAGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 8, 2020): 769–74. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-769-2020.

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Abstract. Satellite area coverage analysis is complex, especially when the satellite operating state changes. Traditional algorithms cannot quickly and efficiently obtain the satellite area coverage analysis results, and are incapable of providing efficient online services. To overcome these shortcomings and meet the needs of 21st century geospatial science and applications for real-time response and online services for handling high concurrent requests, a data-driven real-time analysis service for satellite area coverage is proposed. Firstly, to optimize traditional algorithms, an extended bo

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33

Lee, Sangyup, Choong-Yong Lee, Wonse Jo, Sang Yep Nam, and Dong-Han Kim. "Passive RFID system for Efficient Area Coverage Algorithm." Journal of the Institute of Electronics and Information Engineers 51, no. 2 (2014): 220–26. http://dx.doi.org/10.5573/ieie.2014.51.2.220.

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34

Jiang, Wanling, Weijuan Xi, Utpal Sarkar, Robert Ulichney, and Jan P. Allebach. "Color halftoning based on Neugebauer Primary Area Coverage." Electronic Imaging 2017, no. 18 (2017): 91–102. http://dx.doi.org/10.2352/issn.2470-1173.2017.18.color-041.

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35

Liang, Chiu Kuo, Yin Chung Hsu, and Ting Hao Chu. "Area coverage enhancement schemes in directional sensor networks." International Journal of Internet Protocol Technology 6, no. 4 (2011): 200. http://dx.doi.org/10.1504/ijipt.2011.047225.

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36

Dr.T.Jayasingh, T. S. Arulananth,. "GSM Optimization of Coverage Area Using Agilant Tool." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 04, no. 05 (2015): 4093–98. http://dx.doi.org/10.15662/ijareeie.2015.0405042.

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37

Wang, Guojun, Weijia Jia, and Zhimin Liu. "Area coverage estimation model for directional sensor networks." International Journal of Embedded Systems 1, no. 1 (2016): 1. http://dx.doi.org/10.1504/ijes.2016.10006059.

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38

Liu, Zhimin, Weijia Jia, and Guojun Wang. "Area coverage estimation model for directional sensor networks." International Journal of Embedded Systems 10, no. 1 (2018): 13. http://dx.doi.org/10.1504/ijes.2018.089432.

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39

Liu, Shufan, and Michael E. Hodgson. "Optimizing large area coverage from multiple satellite-sensors." GIScience & Remote Sensing 50, no. 6 (2013): 652–66. http://dx.doi.org/10.1080/15481603.2013.866782.

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40

Zhang, Pengfei, Xiang Cheng, Sen Su, and Ning Wang. "Area coverage-based worker recruitment under geo-indistinguishability." Computer Networks 217 (November 2022): 109340. http://dx.doi.org/10.1016/j.comnet.2022.109340.

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41

Habib, Sami J., and Paulvanna N. Marimuthu. "Restoring coverage area for WSN through simulated annealing." International Journal of Pervasive Computing and Communications 7, no. 3 (2011): 205–19. http://dx.doi.org/10.1108/17427371111173004.

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42

Papatheodorou, Sotiris, Anthony Tzes, Konstantinos Giannousakis, and Yiannis Stergiopoulos. "Distributed area coverage control with imprecise robot localization." International Journal of Advanced Robotic Systems 15, no. 5 (2018): 172988141879749. http://dx.doi.org/10.1177/1729881418797494.

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This article examines the static area coverage problem by a network of mobile, sensor-equipped agents with imprecise localization. Each agent has uniform radial sensing ability and is governed by first-order kinodynamics. To partition the region of interest, a novel partitioning scheme, the Additively Weighted Guaranteed Voronoi diagram is introduced which takes into account both the agents’ positioning uncertainty and their heterogeneous sensing performance. Each agent’s region of responsibility corresponds to its Additively Weighted Guaranteed Voronoi cell, bounded by hyperbolic arcs. An app

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43

Papatheodorou, Sotiris, and Anthony Tzes. "Fault tolerant area coverage control for multiagent systems." MATEC Web of Conferences 188 (2018): 05010. http://dx.doi.org/10.1051/matecconf/201818805010.

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The fault tolerance characteristics of a distributed multi-agent coverage algorithm are examined. A team of sensor-equipped mobile agents is tasked with covering a planar region of interest. A distributed, gradient-based control scheme is utilized for this purpose. The agents are assumed to consist of three subsystems, each one of which may fail. The subsystems under examination are the actuation, sensing and the communication subsystem. Partial and catastrophic faults are examined. Several simulation studies are conducted highlighting the robustness of the distributed nature of the control sc

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44

Gallais, Antoine, Jean Carle, David Simplot-Ryl, and Ivan Stojmenovi. "Localized Sensor Area Coverage with Low Communication Overhead." IEEE Transactions on Mobile Computing 7, no. 5 (2008): 661–72. http://dx.doi.org/10.1109/tmc.2007.70793.

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45

Reif, Juergen, Christian Martens, Sebastian Uhlig, et al. "On large area LIPSS coverage by multiple pulses." Applied Surface Science 336 (May 2015): 249–54. http://dx.doi.org/10.1016/j.apsusc.2014.11.153.

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46

Лукьянчиков, А. В. "LOW-ELEMENT ANTENNA ARRAY WITH INCREASED COVERAGE AREA." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, no. 3 (June 28, 2023): 112–19. http://dx.doi.org/10.36622/vstu.2023.19.3.016.

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интенсивное развитие современного общества требует наличия современных систем связи, в частности, пятого поколения. Использование нелицензируемого диапазона Wi-Fi в качестве «последней мили» сетей 5G может ускорить их внедрение. Однако пропускная способность системы может стать узким местом, так как она зависит от соотношения сигнал/шум в радиоканале. Для увеличения бюджета радиоканала можно использовать антенны с управляемой диаграммой направленности, которые, как правило, реализуются с помощью фазированных антенных решеток. Малоэлементная решетка может быть использована для обеспечения макси

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47

Azmi, Intan Nabina, Yusnani Mohd Yussoff, Murizah Kassim, and Nooritawati Md Tahir. "Coverage Area of Path Planning Mobility Model for Screening Post-Disaster Area." Journal of Electrical & Electronic Systems Research 19, OCT2021 (2021): 74–79. http://dx.doi.org/10.24191/jeesr.v19i1.010.

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48

Li, Qiangyi, and Ningzhong Liu. "Coverage Blind Area Repair Based on Perceived Multimedia Data Driven in Mobile Wireless Sensor Networks." Advances in Multimedia 2022 (April 12, 2022): 1–10. http://dx.doi.org/10.1155/2022/2354024.

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Wireless sensor networks deploy a large number of wireless sensor nodes in the monitoring area to complete the target monitoring task. The coverage effect is an important index to evaluate wireless sensor networks. The effect of network coverage is realized by the wireless sensor nodes deployed in the monitoring area, because the reasonable deployment of sensor nodes can affect the accuracy, reliability, real time, and integrity of monitoring target data collection. The main purpose of network coverage is to use the least number of wireless sensor nodes to complete the monitoring task of targe

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49

SAITO, Hiroshi. "Theoretical Optimization of Sensing Area Shape for Target Detection, Barrier Coverage, and Path Coverage." IEICE Transactions on Communications E99.B, no. 9 (2016): 1967–79. http://dx.doi.org/10.1587/transcom.2016snp0005.

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50

So-In, Chakchai, Tri Gia Nguyen, and Nhu Gia Nguyen. "An efficient coverage hole-healing algorithm for area-coverage improvements in mobile sensor networks." Peer-to-Peer Networking and Applications 12, no. 3 (2018): 541–52. http://dx.doi.org/10.1007/s12083-018-0675-8.

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