@techreport{ietf-lisp-nexagon-52,
    number =    {draft-ietf-lisp-nexagon-52},
    type =      {Internet-Draft},
    institution =   {Internet Engineering Task Force},
    publisher = {Internet Engineering Task Force},
    note =      {Work in Progress},
    url =       {https://datatracker.ietf.org/doc/draft-ietf-lisp-nexagon/52/},
    author =    {Sharon Barkai and Bruno Fernandez-Ruiz and Rotem Tamir and Alberto Rodriguez-Natal and Fabio Maino and Albert Cabellos-Aparicio and Jordi Paillisse and Dino Farinacci},
    title =     {{Network-Hexagons:Geolocation Mapping Network Based On H3 and LISP}},
    pagetotal = 32,
    year =      2023,
    month =     dec,
    day =       24,
    abstract =  {This specification describes functionality of LISP Nexagon networks. The network shares a joint vision of any number of producing sources, fleets, drones, and satellite, with any number of consuming clients, maps, GIS, and path planning copilots. Specifically it outlines: - joint-vision tiled enumeration geolocation language channels - addressing change notifications, overlaps, points of view, - freshness, privacy, localization, seamless context-switching, - via stateful driving of stateless models by EID location agents Safety applications of this network are: 1. Safety on-road: blockages \& hazards beyond line of sight 2. Safety off-road: traffic-ability and varying risk degrees 3. Safety during disasters: fires, floods, snow, abrupt change The use of LISP enables the network to function securely uninterrupted while vision producers and consumers are constantly moving due to the connectivity-anchoring properties of LISP EIDs. Since EIDs are logical being based on mapping-system, it provides semantic-anchoring as well. Semantic joint vision consolidation uses H3 EID unicast and multicast.},
}