Network-Hexagons: H3-LISP Based Mobility Network
draft-barkai-lisp-nexagon-05

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Last updated 2019-06-30
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LISP Working Group                                                    S. Barkai
Internet-Draft                                                B. Fernandez-Ruiz
Intended status: Experimental                                          S. ZionB
Expires: November 30, 2019                                             Nexar Inc.
                                                             A. Rodriguez-Natal
                                                                       F. Maino
                                                                  Cisco Systems
                                                           A. Cabellos-Aparicio
                                                          J. Paillissé Vilanova
                                              Technical University of Catalonia
                                                                   D. Farinacci
                                                                    lispers.net
                                                                   June 30 2019

                  Network-Hexagons: H3-LISP Based Mobility Network
                            draft-barkai-lisp-nexagon-05

Abstract

   This document specifies combined use of H3 and LISP for mobility-networks:
   - Enabling real-time localized indexed-annotation of roads, tile by tile
   - For sharing - hazards, blockages, conditions, maintenance, furniture..
   - Between MobilityClients producing and consuming road-state information
   - Via in-network-state, an indirection by an addressable physical world grid.

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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
  applications, and, for taxonomy of published automotive scene classification.
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