InterPlanet Computer Networking: Estimating Solar Disruptions with Deep Neural Networks and a.I. in an Autonomous Satellite

EasyChair Preprint 6560

Abstract

The interplanet internet is a conceived computer network in space, consisting of a set of network nodes that can communicate with each other. These nodes are the planet’s orbiters (satellites) and landers (e.g. robots, autonomous machines, etc.) and the earth ground stations, and the data can be routed through Earth’s internal internet. In this paper, we propose an interplanetary internet system architecture to operate successfully and achieve good communication with other planets including the Earth. The architecture proposes autonomous relay satellites to the planet-to-planet direct communication with capacity to estimate  delays and solar or planetary interference in a disconnected regions of the planetary system. We propose a constellation of autonomous relay satellites  and Geosync satellites with intuition-enabled machine learning for routing information such that they always estimate beforehand and ensure they are  above the conjunction band that do not come under the influence of sun's radiation interference because that hinders the direct communication between the planets. Also propose a fuzzy logic based estimation of disruptions  and  positioning  of autonomous relay satellites such they are out of conjunction  band that addresses delays during the periods of solar  conjunctions thereby providing continuous communications access. As it is planetary based architecture outline, the results could not be tested due to unavailability of large scale wireless networks with satellite setup over long distances however, the proposed approaches would be effective in addressing delays and disruptions in a direct planetary communication.

Keyphrases: Autonomous Satellites, Fuzzy Logic Controller, InterPlanet Computer Network, InterPlanet Internet, Multilayer Perceptron Model, Solar Radiation and Conjunctions

@booklet{EasyChair:6560,
  author    = {Poondru Prithvinath Reddy},
  title     = {InterPlanet Computer Networking: Estimating Solar Disruptions with Deep Neural Networks and a.I. in an Autonomous Satellite},
  howpublished = {EasyChair Preprint 6560},
  year      = {EasyChair, 2021}}