Network-Hexagons: H3-LISP GeoState & Mobility Network
draft-ietf-lisp-nexagon-00
LISP Working Group S. Barkai
Internet-Draft B. Fernandez-Ruiz
Intended status: Informational S. ZionB
Expires: April 8, 2020 R. Tamir
Nexar Inc.
A. Rodriguez-Natal
F. Maino
Cisco Systems
A. Cabellos-Aparicio
J. Paillissé Vilanova
Technical University of Catalonia
D. Farinacci
lispers.net
December 8, 2019
Network-Hexagons: H3-LISP GeoState & Mobility Network
draft-ietf-lisp-nexagon-00
Abstract
This document specifies combined use of H3-LISP for geo-state & mobility:
- Enabling real-time tile by tile indexed annotation of public roads
- For sharing: hazards, blockages, conditions, maintenance, furniture..
- Between MobilityClients producing-consuming the geo-state information
- Using addressable grid of channels for physical world current-state
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This Internet-Draft will expire on October 4, 2019.
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Requirements Language . . . . . . . . . . . . . . . . . . . . 3
3. Definition of Terms . . . . . . . . . . . . . . . . . . . . . 3
4. Deployment Assumptions . . . . . . . . . . . . . . . . . . . 4
5. Mobility Clients-Network-Services . . . . . . . . . . . . . . 4
6. Mobility Unicast-Multicast . . . . . . . . . . . . . . . . . 5
7. Security Considerations . . . . . . . . . . . . . . . . . . . 6
8. Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . 6
9. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 6
10. Normative References . . . . . . . . . . . . . . . . . . . . 8
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 9
1. Introduction
(1) The Locator/ID Separation Protocol (LISP) [RFC6830] splits current IP
addresses in two different namespaces, Endpoint Identifiers (EIDs) and
Routing Locators (RLOCs). LISP uses a map-and-encap approach that relies on
(1) a Mapping System (distributed database) that stores and disseminates
EID-RLOC mappings and on (2) LISP tunnel routers (xTRs) that encapsulate
and decapsulate data packets based on the content of those mappings.
(2) H3 is a geospatial indexing system using a hexagonal grid that can be
(approximately) subdivided into finer and finer hexagonal grids,
combining the benefits of a hexagonal grid with hierarchical subdivisions.
H3 supports sixteen resolutions. Each finer resolution has cells with one
seventh the area of the coarser resolution. Hexagons cannot be perfectly
subdivided into seven hexagons, so the finer cells are only approximately
contained within a parent cell. Each cell is identified by a 64bit HID.
(3) The Berkeley Deep Drive (BDD) Industry Consortium investigates state-of-
the-art technologies in computer vision and machine learning for automotive
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