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Journal articles on the topic 'Communications opportunistes'

Author: Grafiati

Published: 21 December 2024

Last updated: 19 July 2025

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1

Martín-Pascual, Miguel Ángel, and Celia Andreu-Sánchez. "Practical Application of Mesh Opportunistic Networks." Applied System Innovation 6, no. 3 (2023): 60. http://dx.doi.org/10.3390/asi6030060.

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Opportunistic networks allow for communication between nearby mobile devices through a radio connection, avoiding the need for cellular data coverage or a Wi-Fi connection. The limited spatial range of this type of communication can be overcome by using nodes in a mesh network. The purpose of this research was to examine a commercial application of electronic mesh communication without a mobile data plan, Wi-Fi, or satellite. A mixed study, with qualitative and quantitative strategies, was designed. An experimental session, in which participants tested opportunistic networks developing differe

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2

Carreras, Iacopo, Andrea Zanardi, Elio Salvadori, and Daniele Miorandi. "A Distributed Monitoring Framework for Opportunistic Communication Systems An Experimental Approach." International Journal of Adaptive, Resilient and Autonomic Systems 2, no. 3 (2011): 45–62. http://dx.doi.org/10.4018/jaras.2011070104.

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Opportunistic communication systems aim at producing and sharing digital resources by means of localized wireless data exchanges among mobile nodes. The design and evaluation of systems able to exploit this emerging communication paradigm is a challenging problem. This paper presents the authors’ experience in developing U-Hopper, a middleware running over widely diffused mobile handsets and supporting the development of context-aware services based on opportunistic communications. The authors present the design of the platform, and describe the distributed monitoring framework that was set up

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3

Pajevic, Ljubica, and Gunnar Karlsson. "Modeling opportunistic communication with churn." Computer Communications 96 (December 2016): 123–35. http://dx.doi.org/10.1016/j.comcom.2016.04.018.

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4

Helgason, Olafur, Sylvia T. Kouyoumdjieva, and Gunnar Karlsson. "Opportunistic Communication and Human Mobility." IEEE Transactions on Mobile Computing 13, no. 7 (2014): 1597–610. http://dx.doi.org/10.1109/tmc.2013.160.

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5

Amin, Osama, and Lutz Lampe. "Opportunistic Energy Efficient Cooperative Communication." IEEE Wireless Communications Letters 1, no. 5 (2012): 412–15. http://dx.doi.org/10.1109/wcl.2012.061212.120206.

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6

Gorbil, Gokce, and Erol Gelenbe. "Opportunistic Communications for Emergency Support Systems." Procedia Computer Science 5 (2011): 39–47. http://dx.doi.org/10.1016/j.procs.2011.07.008.

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7

Nagananda, K. G. "Secure communications over opportunistic-relay channels." Physical Communication 7 (June 2013): 105–21. http://dx.doi.org/10.1016/j.phycom.2012.11.002.

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8

Davoli, Luca, Emanuele Pagliari, and Gianluigi Ferrari. "Hybrid LoRa-IEEE 802.11s Opportunistic Mesh Networking for Flexible UAV Swarming." Drones 5, no. 2 (2021): 26. http://dx.doi.org/10.3390/drones5020026.

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Unmanned Aerial Vehicles (UAVs) and small drones are nowadays being widely used in heterogeneous use cases: aerial photography, precise agriculture, inspections, environmental data collection, search-and-rescue operations, surveillance applications, and more. When designing UAV swarm-based applications, a key “ingredient” to make them effective is the communication system (possible involving multiple protocols) shared by flying drones and terrestrial base stations. When compared to ground communication systems for swarms of terrestrial vehicles, one of the main advantages of UAV-based communic

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9

Ciobanu, Radu Ioan, and Ciprian Dobre. "Opportunistic Networks." International Journal of Virtual Communities and Social Networking 5, no. 2 (2013): 11–26. http://dx.doi.org/10.4018/jvcsn.2013040102.

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When mobile devices are unable to establish direct communication, or when communication should be offloaded to cope with large throughputs, mobile collaboration can be used to facilitate communication through opportunistic networks. These types of networks, formed when mobile devices communicate only using short-range transmission protocols, usually when users are close, can help applications still exchange data. Routes are built dynamically, since each mobile device is acting according to the store-carry-and-forward paradigm. Thus, contacts are seen as opportunities to move data towards the d

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10

Johnston, Matthew, Isaac Keslassy, and Eytan Modiano. "Channel Probing in Opportunistic Communication Systems." IEEE Transactions on Information Theory 63, no. 11 (2017): 7535–52. http://dx.doi.org/10.1109/tit.2017.2717580.

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11

Zhang, Qian, Qi Xi, Chen He, and Lingge Jiang. "User Clustered Opportunistic Beamforming for Stratospheric Communications." IEEE Communications Letters 20, no. 9 (2016): 1832–35. http://dx.doi.org/10.1109/lcomm.2016.2584038.

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12

Gozalvez, Javier, and Miguel Sepulcre. "Opportunistic technique for efficient wireless vehicular communications." IEEE Vehicular Technology Magazine 2, no. 4 (2007): 33–39. http://dx.doi.org/10.1109/mvt.2008.917448.

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13

Bletsas, Aggelos, Hyundong Shin, and Moe Win. "Cooperative Communications with Outage-Optimal Opportunistic Relaying." IEEE Transactions on Wireless Communications 6, no. 9 (2007): 3450–60. http://dx.doi.org/10.1109/twc.2007.06020050.

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14

Passarella, Andrea, and Konstantinos Oikonomou. "Special Section on Autonomic and Opportunistic Communications." Computer Communications 33, no. 13 (2010): 1471. http://dx.doi.org/10.1016/j.comcom.2010.05.004.

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15

Chen, L., R. A. Carrasco, and I. J. Wassell. "Opportunistic nonorthogonal amplify-and-forward cooperative communications." Electronics Letters 47, no. 10 (2011): 626. http://dx.doi.org/10.1049/el.2011.0487.

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16

Khalil, Ayman, and Besma Zeddini. "A Secure Opportunistic Network with Efficient Routing for Enhanced Efficiency and Sustainability." Future Internet 16, no. 2 (2024): 56. http://dx.doi.org/10.3390/fi16020056.

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The intersection of cybersecurity and opportunistic networks has ushered in a new era of innovation in the realm of wireless communications. In an increasingly interconnected world, where seamless data exchange is pivotal for both individual users and organizations, the need for efficient, reliable, and sustainable networking solutions has never been more pressing. Opportunistic networks, characterized by intermittent connectivity and dynamic network conditions, present unique challenges that necessitate innovative approaches for optimal performance and sustainability. This paper introduces a

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17

Boldrini, C., K. Lee, M. Önen, J. Ott, and E. Pagani. "Opportunistic networks." Computer Communications 48 (July 2014): 1–4. http://dx.doi.org/10.1016/j.comcom.2014.04.007.

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18

Shaqfeh, Mohammad. "Opportunistic Cooperative Communication Using Buffer-Aided Relays." Qatar Foundation Annual Research Forum Proceedings, no. 2013 (November 2013): ICTP 025. http://dx.doi.org/10.5339/qfarf.2013.ictp-025.

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19

Hadzi-Velkov, Zoran, Ivana Nikoloska, Hristina Chingoska, and Nikola Zlatanov. "Opportunistic Scheduling in Wireless Powered Communication Networks." IEEE Transactions on Wireless Communications 16, no. 6 (2017): 4106–19. http://dx.doi.org/10.1109/twc.2017.2691785.

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20

Valerio, Lorenzo, and Matteo Mordacchini. "Special Section on Opportunistic Communication and Computation." Computer Communications 96 (December 2016): 109. http://dx.doi.org/10.1016/j.comcom.2016.11.004.

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21

Kouyoumdjieva, Sylvia T., and Gunnar Karlsson. "Impact of Duty Cycling on Opportunistic Communication." IEEE Transactions on Mobile Computing 15, no. 7 (2016): 1686–98. http://dx.doi.org/10.1109/tmc.2015.2478470.

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22

Kokuti, Andras, and Erol Gelenbe. "Directional Navigation Improves Opportunistic Communication for Emergencies." Sensors 14, no. 8 (2014): 15387–99. http://dx.doi.org/10.3390/s140815387.

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23

YUAN, Runping, Taiyi ZHANG, Jing ZHANG, Jianxiong HUANG, and Zhenjie FENG. "Opportunistic Cooperative Communications over Nakagami-m Fading Channels." IEICE Transactions on Communications E93-B, no. 10 (2010): 2812–16. http://dx.doi.org/10.1587/transcom.e93.b.2812.

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24

Park, Gwangwoo, Youngjun Shim, Insun Jang, and Sangheon Pack. "Bloom-filter-aided redundancy elimination in opportunistic communications." IEEE Wireless Communications 23, no. 1 (2016): 112–19. http://dx.doi.org/10.1109/mwc.2016.7422413.

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25

Hui, Pan, and Jon Crowcroft. "Human mobility models and opportunistic communications system design." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1872 (2008): 2005–16. http://dx.doi.org/10.1098/rsta.2008.0010.

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In this paper, we seek to improve understanding of the structure of human mobility, with a view to using this for designing algorithms for the dissemination of data among mobile users. We analyse community structures and node centrality from the human mobility traces and use these two metrics to design efficient forwarding algorithms in terms of delivery ratio and delivery cost for mobile networks. This is the first empirical study of community and centrality using real human mobility datasets.

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26

Lee, Il-Gu. "Opportunistic Secure Communications for Wireless Local Area Networks." International Journal of Control and Automation 10, no. 12 (2017): 109–20. http://dx.doi.org/10.14257/ijca.2017.10.12.10.

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27

Asadi, Arash, and Vincenzo Mancuso. "A Survey on Opportunistic Scheduling in Wireless Communications." IEEE Communications Surveys & Tutorials 15, no. 4 (2013): 1671–88. http://dx.doi.org/10.1109/surv.2013.011413.00082.

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28

Qiao, Liqiang. "Mobile Data Traffic Offloading through Opportunistic Vehicular Communications." Wireless Communications and Mobile Computing 2020 (December 22, 2020): 1–12. http://dx.doi.org/10.1155/2020/3093581.

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To cope with an exponentially increasing demand on mobile data traffic in cellular network, proximity-based opportunistic vehicular communications can be exploited as a complementary mean to offload and reduce the load of cellular network. In this paper, we propose a two-phase approach for mobile data traffic offloading, which exploits opportunistic contact and future utility with user mobility. The proposed approach includes one phase of initial source selection and subsequent phase of data forwarding. In phase 1, we build a weighted reachability graph, which is a very useful high-level abstr

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29

Shao, Wenjuan, Qingguo Shen, and Liaoruo Huang. "Social-aware content dissemination through opportunistic D2D communications." Transactions on Emerging Telecommunications Technologies 30, no. 1 (2018): e3542. http://dx.doi.org/10.1002/ett.3542.

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30

Nawaz, Farhan, Hemant Kumar, Syed Ali Hassan, and Haejoon Jung. "Opportunistic Large Array Propagation Models: A Comprehensive Survey." Sensors 21, no. 12 (2021): 4206. http://dx.doi.org/10.3390/s21124206.

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Enabled by the fifth-generation (5G) and beyond 5G communications, large-scale deployments of Internet-of-Things (IoT) networks are expected in various application fields to handle massive machine-type communication (mMTC) services. Device-to-device (D2D) communications can be an effective solution in massive IoT networks to overcome the inherent hardware limitations of small devices. In such D2D scenarios, given that a receiver can benefit from the signal-to-noise-ratio (SNR) advantage through diversity and array gains, cooperative transmission (CT) can be employed, so that multiple IoT nodes

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31

Singh, Vishal, Andy Dong, and John S. Gero. "Social learning in design teams: The importance of direct and indirect communications." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 27, no. 2 (2013): 167–82. http://dx.doi.org/10.1017/s0890060413000061.

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AbstractThis paper discusses the effects of direct and indirect communications on social learning and task coordination in design teams. The findings reported in this paper are based on a computational model that simulates the formation of transactive memory (TM) through social learning from direct and indirect communications. Direct communications are explicit information exchanged between team members whereas indirect communication may be opportunistic and coincidental, resulting in learning and information gained through observations of the actions of others. However, team structure mediate

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32

Kang Kim, Hojin, Raimundo Becerra, Sandy Bolufé, Cesar A. Azurdia-Meza, Samuel Montejo-Sánchez, and David Zabala-Blanco. "Neuroevolution-Based Adaptive Antenna Array Beamforming Scheme to Improve the V2V Communication Performance at Intersections." Sensors 21, no. 9 (2021): 2956. http://dx.doi.org/10.3390/s21092956.

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The opportunistic exchange of information between vehicles can significantly contribute to reducing the occurrence of accidents and mitigating their damages. However, in urban environments, especially at intersection scenarios, obstacles such as buildings and walls block the line of sight between the transmitter and receiver, reducing the vehicular communication range and thus harming the performance of road safety applications. Furthermore, the sizes of the surrounding vehicles and weather conditions may affect the communication. This makes communications in urban V2V communication scenarios

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33

Wang, Kun, Guoli Feng, Lizhong Zhang, and Jia Wu. "Energy Transmission and Equilibrium Scheme in Data Communication Opportunistic Networks." Applied System Innovation 3, no. 4 (2020): 54. http://dx.doi.org/10.3390/asi3040054.

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In data communication, a good communication scheme can improve the transmission of data packets among nodes. The opportunistic network is a convenient wireless communication network and its model is easily applied in data communication. Energy consumption among nodes in the opportunistic network is an important parameter. The over-consumption of energy may cause the nodes to be dead, and then many useful data packets would be lost. Especially in data communication, this tendency is obvious. However, many researchers rarely consider energy consumption in the opportunistic network. This paper su

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34

Abbas, Asad, Moez Krichen, Roobaea Alroobaea, Sharaf Malebary, Usman Tariq, and Md Jalil Piran. "An opportunistic data dissemination for autonomous vehicles communication." Soft Computing 25, no. 18 (2021): 11899–912. http://dx.doi.org/10.1007/s00500-020-05542-y.

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35

Wei, Hao, and Zhang Xing. "Distributed Mobile Computing Mechanism Based on Opportunistic Communication." Information Technology Journal 12, no. 23 (2013): 7255–59. http://dx.doi.org/10.3923/itj.2013.7255.7259.

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36

Rajpoot, Nidhi, and Rajendra Singh Kushwah. "An Efficient Opportunistic Routing Protocol in Underwater Communication." International Journal of u- and e-Service, Science and Technology 8, no. 6 (2015): 135–46. http://dx.doi.org/10.14257/ijunesst.2015.8.6.13.

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37

Ashraf, Manzur, Aruna Jayasuriya, and Sylvie Perreau. "Distributed opportunistic communication protocol for wireless multihop networks." International Journal of Mobile Network Design and Innovation 3, no. 2 (2009): 112. http://dx.doi.org/10.1504/ijmndi.2009.030843.

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38

Xiao, Hongjiang, Qionghai Dai, and Xiangyang Ji. "Opportunistic video communication over cooperative decode-forward networks." Tsinghua Science and Technology 15, no. 2 (2010): 209–15. http://dx.doi.org/10.1016/s1007-0214(10)70052-3.

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39

Lio’, Pietro, and Sasitharan Balasubramaniam. "Opportunistic routing through conjugation in bacteria communication nanonetwork." Nano Communication Networks 3, no. 1 (2012): 36–45. http://dx.doi.org/10.1016/j.nancom.2011.10.003.

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40

Zorba, Nizar, and Ana I. Perez-Neira. "Opportunistic Grassmannian Beamforming for Multiuser and Multiantenna Downlink Communications." IEEE Transactions on Wireless Communications 7, no. 4 (2008): 1174–78. http://dx.doi.org/10.1109/twc.2008.060972.

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41

Sciancalepore, Vincenzo, Domenico Giustiniano, Albert Banchs, and Andreea Hossmann-Picu. "Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization." IEEE Journal on Selected Areas in Communications 34, no. 1 (2016): 122–37. http://dx.doi.org/10.1109/jsac.2015.2452472.

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42

Han, Bo, Pan Hui, V. S. Anil Kumar, Madhav V. Marathe, Jianhua Shao, and Aravind Srinivasan. "Mobile Data Offloading through Opportunistic Communications and Social Participation." IEEE Transactions on Mobile Computing 11, no. 5 (2012): 821–34. http://dx.doi.org/10.1109/tmc.2011.101.

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43

Yan, Yan, Baoxian Zhang, and Cheng Li. "Opportunistic network coding based cooperative retransmissions in D2D communications." Computer Networks 113 (February 2017): 72–83. http://dx.doi.org/10.1016/j.comnet.2016.12.004.

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44

Hang Li, Qinghua Guo, Defeng Huang, and YingJun Zhang. "User Identification for Opportunistic OFDM-Based Multiuser Wireless Communications." IEEE Transactions on Vehicular Technology 61, no. 4 (2012): 1673–84. http://dx.doi.org/10.1109/tvt.2012.2187936.

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45

Shatila, Hazem, Mohamed Khedr, and Jeffrey H. Reed. "Opportunistic channel allocation decision making in cognitive radio communications." International Journal of Communication Systems 27, no. 2 (2012): 216–32. http://dx.doi.org/10.1002/dac.2350.

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46

Javidi, Tara, Giuseppe Van Buhler, and Eric Liva. "Opportunistic Routing in Wireless Networks." Foundations and Trends® in Networking 11, no. 1-2 (2016): 1–137. http://dx.doi.org/10.1561/1300000021.

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47

Liebeherr, Jörg. "Opportunistic Routing in Wireless Networks." Foundations and Trends® in Networking 11, no. 3-4 (2017): 139–282. http://dx.doi.org/10.1561/1300000059.

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48

Trifunovic, Sacha, Maciej Kurant, Karin Anna Hummel, and Franck Legendre. "Preventing spam in opportunistic networks." Computer Communications 41 (March 2014): 31–42. http://dx.doi.org/10.1016/j.comcom.2013.12.003.

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49

Hu, Qingsong, Juan Ding, and Shiyin Li. "A Novel Cognitive Opportunistic Communication Framework for Coal Mines." Mathematical Problems in Engineering 2019 (January 3, 2019): 1–10. http://dx.doi.org/10.1155/2019/6109303.

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The dynamic advancement and harsh environment of coal mines often result in intermittent or regional wireless connection between sending nodes and receiving nodes and then lead to the decrease of transmission success ratio and even failure. To solve this problem, the environmental cognition and best-effort transmission are both demanded. Here we proposed a novel communication framework for coal mines based on a cognitive opportunistic concept to address the wireless network communication problems in coal mines, which consists of the node mobility model in coal mines, cooperative cognition of t

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50

Grossi, Emanuele, Marco Lops, Antonia Maria Tulino, and Luca Venturino. "Opportunistic Sensing Using mmWave Communication Signals: A Subspace Approach." IEEE Transactions on Wireless Communications 20, no. 7 (2021): 4420–34. http://dx.doi.org/10.1109/twc.2021.3058775.

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