eprintid: 66058 rev_number: 8 eprint_status: archive userid: 1903 dir: disk0/00/06/60/58 datestamp: 2021-02-26 09:48:37 lastmod: 2021-02-26 09:49:54 status_changed: 2021-02-26 09:48:37 type: conference_item metadata_visibility: show creators_name: Sevilla De Pablo, Andres creators_name: Fernández Anta, Antonio title: Routing in Generalized Geometric Inhomogeneous Random Graphs publisher: Springer rights: by-nc-nd ispublished: pub subjects: informatica full_text_status: public pres_type: paper abstract: In this paper we study a new random graph model that we denote (k, p)-KG and new greedy routing algorithms (of deterministic and probabilistic nature). The (k,p)-KG graphs have power-law degree distribution and small- world properties. (k,p)-KG roots on the Geometric Inhomogeneous Random Graph (GIRG) model, and hence they both preserve the properties of the hyperbolic graphs and avoid the problems of using hyperbolic cosines. In order to construct (k, p)-KG graphs, we introduce two parameters k and p in the process of building a (k,p)-KG graph. With these parameters we can generate Klein- berg and power-law networks as especial cases of (k, p)-KG. Also, we propose two new greedy routing algorithms to reduce the fail ratio and maintaining a good routing performance. The first algorithm is deterministic and the second is, in essence, a weighted random walk. We use simulation techniques to test our network model, and evaluate the new routing algorithms on the two graph models (GIRG and (k, p)-KG). In our simulations, we evaluate the number of hops to reach a destination from a source and the routing fail ratio, and measure the impact of the parameters (k and p) on the performance of the new routing algorithms. We observe that our graph model (k, p)-KG is more flexible than GIRG, and the new routing algorithms have better performance than the routing algorithms previously proposed. date_type: published date: 2020 volume: 12129 pagerange: 368-373 event_title: NETYS 2020. The 8th Edition of International Conference on NETworked Systems event_location: Marrakech, Morocco event_dates: 03-06-2020 / 05-06-2020 event_type: conference id_number: 10.1007/978-3-030-67087-0_25 institution: ETSI_Sistemas_Infor department: Sistemas_informaticos_2014 refereed: TRUE isbn: 978-3-030-67087-0 book_title: Networked Systems. NETYS 2020 official_url: http://netys.net/history/netys2020/netys.net/index.html comprojects_type: CM comprojects_type: MINECO comprojects_code: P2018/TCS-4499 comprojects_code: TIN2017-88749-R comprojects_acronym: EDGEDATA-CM comprojects_title: Una infraestructura para sistemas híbridos altamente descentralizados comprojects_title: Almacenamiento y computación distribuida en el borde (de la red) citation: Sevilla De Pablo, Andres and Fernández Anta, Antonio (2020). Routing in Generalized Geometric Inhomogeneous Random Graphs. In: "NETYS 2020. The 8th Edition of International Conference on NETworked Systems", 03-06-2020 / 05-06-2020, Marrakech, Morocco. ISBN 978-3-030-67087-0. pp. 368-373. https://doi.org/10.1007/978-3-030-67087-0_25 . document_url: https://oa.upm.es/66058/1/INVE_MEM_2020_315933.pdf