A Machine Learning Concept for DTN Routing

被引：0
|
作者：
Dudukovich, Rachel [1 ]
Hylton, Alan [1 ]
Papachristou, Christos [2 ]
机构：
[1] NASA Glenn Res Ctr, Cleveland, OH 44135 USA
[2] Case Western Reserve Univ, Cleveland, OH 44106 USA
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON WIRELESS FOR SPACE AND EXTREME ENVIRONMENTS (WISEE) | 2017年
关键词：
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
This paper discusses the concept and architecture of a machine learning based router for delay tolerant space networks. The techniques of reinforcement learning and Bayesian learning are used to supplement the routing decisions of the popular Contact Graph Routing algorithm. An introduction to the concepts of Contact Graph Routing, Q-routing and Naive Bayes classification are given. The development of an architecture for a cross-layer feedback framework for DTN protocols is discussed. Finally, initial simulation setup and results are given.
引用
收藏
页码：110 / 115
页数：6
相关论文
共 50 条
  • [41] Hybrid Routing Scheme Combining with Geo-Routing and DTN in VANET
    Kikuchi, Ryohei
    Sato, Fumiaki
    2016 10TH INTERNATIONAL CONFERENCE ON INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING (IMIS), 2016, : 250 - 255
  • [42] Proposal for DTN Routing Using Helping Behavior
    Kidani, Shohei
    Ito, Nao
    Matoba, Ryuichi
    Maeda, Yoshinobu
    2017 IEEE 10TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (IWCIA), 2017, : 49 - 54
  • [43] Augmenting Coverage in a Cellular Network with DTN routing
    Mei, Haibo
    Jiang, Peng
    Bigham, John
    2011 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2011, : 516 - 521
  • [44] DTN Routing in Urban Public Transport Systems
    Doering, Michael
    Poegel, Tobias
    Wolf, Lars
    PROCEEDINGS OF THE 5TH ACM WORKSHOP ON CHALLENGED NETWORKS (CHANTS '10), 2010, : 55 - 62
  • [45] Testing Smart DTN Routing Using Cloudlab
    Lent, Ricardo
    Velusamy, Gandhimathi
    2020 IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATIONS SYSTEMS (IEEE ANTS), 2020,
  • [46] Countering Flood Attacks and Routing Misbehavior in DTN
    Priyadarshini, J. Karunya
    Jayarin, P. Jesu
    Visumathi, J.
    ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY ALGORITHMS IN ENGINEERING SYSTEMS, VOL 2, 2015, 325 : 753 - 762
  • [47] Moderate Source Routing for DTN Space Networks
    Caini, C.
    De Cola, G. M.
    Marchetti, F.
    Mazzuca, L.
    2020 10TH ADVANCED SATELLITE MULTIMEDIA SYSTEMS CONFERENCE AND THE 16TH SIGNAL PROCESSING FOR SPACE COMMUNICATIONS WORKSHOP (ASMS/SPSC), 2020,
  • [48] Adaptive DTN Routing: A Neuromorphic Networking Perspective
    Lent, Ricardo
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2021, 7 (03) : 871 - 880
  • [49] DTN Routing Hierarchical Topology for the Internet of Things
    Abdellaoui Alaoui, El Arbi
    Koumetio Tekouabou, Stephane Cedric
    Gallais, Antoine
    Agoujil, Said
    11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS, 2020, 170 : 490 - 497
  • [50] DTN Routing based on Search Theory - An Overview
    Sundararaj, Laveen
    Vellaiyan, Palanisamy
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2010, 10 (11): : 202 - 210
12345