Auswahl der wissenschaftlichen Literatur zum Thema „Interest Forwarding Strategy“
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Zeitschriftenartikel zum Thema "Interest Forwarding Strategy"
Akinwande, Olumide. „Interest Forwarding in Named Data Networking Using Reinforcement Learning“. Sensors 18, Nr. 10 (08.10.2018): 3354. http://dx.doi.org/10.3390/s18103354.
Der volle Inhalt der QuelleBazmi, Parisa, und Manijeh Keshtgary. „A NEURAL NETWORK BASED TRAFFIC-AWARE FORWARDING STRATEGY IN NAMED DATA NETWORKING“. IIUM Engineering Journal 17, Nr. 2 (30.11.2016): 59–69. http://dx.doi.org/10.31436/iiumej.v17i2.617.
Der volle Inhalt der QuellePu, Cong. „Pro NDN : MCDM-Based Interest Forwarding and Cooperative Data Caching for Named Data Networking“. Journal of Computer Networks and Communications 2021 (18.03.2021): 1–16. http://dx.doi.org/10.1155/2021/6640511.
Der volle Inhalt der QuelleAkther, Nazma, Kingshuk Dhar, Shahid Md Asif Iqbal, Mohammed Nurul Huda und Asaduzzaman. „Interest forwarding strategy in Named Data Networks (NDN) using Thompson Sampling“. Journal of Network and Computer Applications 205 (September 2022): 103458. http://dx.doi.org/10.1016/j.jnca.2022.103458.
Der volle Inhalt der Quelledin, Muhammad Salah ud, Muhammad Atif Ur Rehman und Byung-Seo Kim. „CIDF-WSN: A Collaborative Interest and Data Forwarding Strategy for Named Data Wireless Sensor Networks“. Sensors 21, Nr. 15 (30.07.2021): 5174. http://dx.doi.org/10.3390/s21155174.
Der volle Inhalt der Quellede Sousa, Antonio M., Francisco R. C. Araujo und Leobino N. Sampaio. „A Link-Stability-Based Interest-Forwarding Strategy For Vehicular Named Data Networks“. IEEE Internet Computing 22, Nr. 3 (Mai 2018): 16–26. http://dx.doi.org/10.1109/mic.2018.032501512.
Der volle Inhalt der QuelleGuo, Xian, Baobao Wang, Yongbo Jiang, Di Zhang und Laicheng Cao. „Homomorphic encryption based privacy-aware intelligent forwarding mechanism for NDN-VANET“. Computer Science and Information Systems, Nr. 00 (2022): 51. http://dx.doi.org/10.2298/csis220210051g.
Der volle Inhalt der QuelleBellaj, Mohammed, Najib Naja und Abdellah Jamali. „Distributed Mobility Management Support for Low-Latency Data Delivery in Named Data Networking for UAVs“. Future Internet 16, Nr. 2 (10.02.2024): 57. http://dx.doi.org/10.3390/fi16020057.
Der volle Inhalt der QuelleWang, Fei, YongJun Xu, Lin Wu, Longyijia Li, Dan Liu und Liehuang Zhu. „A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks“. International Journal of Distributed Sensor Networks 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/469076.
Der volle Inhalt der QuelleBuvanesvari, Ramachandira, und Kanagaraj Joseph. „An Efficient Secured PIT Management and Attack Detection Strategy Enhanced by CSOA-DCNN Algorithm in a Named Data Networking (NDN)“. International Journal of Intelligent Engineering and Systems 14, Nr. 1 (28.02.2021): 103–12. http://dx.doi.org/10.22266/ijies2021.0228.11.
Der volle Inhalt der QuelleDissertationen zum Thema "Interest Forwarding Strategy"
Malik, Hirah. „Efficient Network Coding Protocols for Information-Centric Networks“. Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG096.
Der volle Inhalt der QuelleThe amount of data exchanged over the Internet has grown drastically over the past decades. The increasing number of users, connected devices, and the popularity of video content have surged the demand for new communication methods that can deal with the growing volume of data traffic. Information-Centric Networking (ICN) has been proposed as an alternative to traditional IP-based networks. In ICN, consumers request named content via Interest packets to the network and receive data as a response to their request without taking care of the location of the content in the network. ICN allows in-network caching and naturally supports the use of multiple paths. Nevertheless, the maximum throughput can only be achieved if the content is requested over an optimal set of multicast trees. The computation of such multicast trees is hard to scale over large dynamic networks and requires coordination among network entities. Network coding has been recently introduced in ICN to improve multi-path dissemination and caching of content without the need for coordination. The challenge in the case of network coding is to get independent coded content in response to multiple parallel Interests by one or several consumers. In this thesis, we analyze some previous works that integrate network coding and ICN and identify some key issues these works face. We introduce an efficient solution where clients add compact information to Interest packets in order to ensure linear independence of content in network-coded ICN. This thesis proposes an architecture, MICN, that provides network coding on top of an Interest-based ICN implementation: Named Data Networking (NDN). The proposed architecture helps alleviate the issues faced by network coding-enabled ICN solutions presented in the past. A novel construction called MILIC (Multiple Interests for Linearly Independent Content) is introduced that imposes constraints on how the replies to Interests are coded, intending to get linearly independent contents in response to multiple Interests. Numerical analysis and simulations illustrate that the MILIC construction performs well with network-coded NDN, and the MICN protocol yields close to optimal throughput in some scenarios. The performance of MICN compares favorably to existing protocols. It shows significant benefits when considering the total number of transmitted packets in the network and in the case of lossy links. Several modified forwarding techniques integrated into the MICN protocol are proposed to optimize the network resource utilization while keeping a high throughput. MILIC led us to consider the problem of constructing subsets of vectors from a given vector space, such that when drawing arbitrarily one vector from each subset, the selected vectors are linearly independent. This thesis considers it as a mathematical problem and studies some alternative solutions to the MILIC construction. Finally, the thesis proves that a large family of solutions to this problem are equivalent to MILIC
Bücher zum Thema "Interest Forwarding Strategy"
Liu, Jun. Shifting Dynamics of Contention in the Digital Age. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190887261.001.0001.
Der volle Inhalt der QuelleBuchteile zum Thema "Interest Forwarding Strategy"
Gao, Qiang, Tetsuya Shigeyasu und Chunxiang Chen. „Routing Strategy for Avoiding Obstacles During Message Forwarding in Mobile Ad-Hoc Network“. In Innovative Mobile and Internet Services in Ubiquitous Computing, 132–43. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79728-7_14.
Der volle Inhalt der QuelleFgee, El-Bahlul, Shyamala Sivakumar, William J. Phillips und William Robertson. „Scalable Intra and Inter Domain IPv6 QoS Management and Pricing Scheme“. In Intelligent Quality of Service Technologies and Network Management, 256–79. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-791-6.ch014.
Der volle Inhalt der QuelleRodger, James A. „Using Continuous Voice Activation Applications in Telemedicine to Transform Mobile Commerce“. In Advances in Mobile Commerce Technologies, 258–97. IGI Global, 2003. http://dx.doi.org/10.4018/978-1-59140-052-3.ch012.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Interest Forwarding Strategy"
Khan, Muhammad Toaha Raza, Malik Muhammad Saad, Junho Seo, Syed Hassan Ahmed und Dongkyun Kim. „Reliable interest forwarding strategy for underwater vehicular NDN“. In SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3412841.3442061.
Der volle Inhalt der QuelleGarcia-Luna-Aceves, J. J. „A fault-tolerant forwarding strategy for interest-based information centric networks“. In 2015 IFIP Networking Conference (IFIP Networking). IEEE, 2015. http://dx.doi.org/10.1109/ifipnetworking.2015.7145302.
Der volle Inhalt der QuelleAhdan, Syaiful, Galih Nugraha Nurkahfi, Ade Nurhayati, Ratna Mayasari, Ridha Muldina Negara und Nana Rachmana Syambas. „Forwarding Strategy Performance using Interest Variation Scheme in Named Data Networking“. In 2022 8th International Conference on Wireless and Telematics (ICWT). IEEE, 2022. http://dx.doi.org/10.1109/icwt55831.2022.9935402.
Der volle Inhalt der QuelleKalghoum, Anwar, Sonia Mettali Gammar und Leila Azouz Saidane. „Performance evaluation of interest traffic generation and forwarding strategy impact in ICN“. In 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA). IEEE, 2016. http://dx.doi.org/10.1109/aiccsa.2016.7945734.
Der volle Inhalt der QuelleQian, Jie, Yantao Yu und Xing Chang. „A Delay-based Interest Packet Forwarding Strategy in Vehicular Named Data Networking“. In 2022 2nd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS). IEEE, 2022. http://dx.doi.org/10.1109/acctcs53867.2022.00078.
Der volle Inhalt der QuelleUdugama, Asanga, Xinyi Zhang, Koojana Kuladinithi und Carmelita Goerg. „An On-demand Multi-Path Interest Forwarding strategy for content retrievals in CCN“. In NOMS 2014 - 2014 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2014. http://dx.doi.org/10.1109/noms.2014.6838389.
Der volle Inhalt der QuelleYan, Xianyi, und Bo Xiao. „Hybrid forwarding strategy pressure-based routing for underwater wireless sensor network“. In Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), herausgegeben von Shiling Zhang und Hongzhi Wang. SPIE, 2023. http://dx.doi.org/10.1117/12.3010400.
Der volle Inhalt der QuelleCao, Jiabao, Lijuan Wang, Jinfeng Dou, Lei Chu und Changrui Qu. „Objective Function Optimization Based Time-competition Forwarding Strategy in Internet of Marine Things“. In ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3404555.3404631.
Der volle Inhalt der QuelleShi, Shanshan, Jun Li, Bin Han, Haibo Wu, Yuxiang Ma, Qian Dong und Hans D. Schotten. „Multi-Path Forwarding Strategy for Named Data Networking Based on Pending Interests and Available Bandwidth“. In 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2021. http://dx.doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00105.
Der volle Inhalt der QuelleBarbosa Cunha, Ilane Karise, Joaquim Celestino Junior, Marcial Porto Fernandez, Ahmed Patel und Maxwell E. Monteiro. „VNDN-Fuzzy - A strategy to mitigate the forwarding interests broadcast storm problem in VNDN networks“. In 2023 International Conference on Information Networking (ICOIN). IEEE, 2023. http://dx.doi.org/10.1109/icoin56518.2023.10049030.
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