Journal of Aeronautics & Aerospace Engineering
Open Access

Intelligent peer to peer mesh satellite-extraterrestrial deep space network: Interplanetary communication and data collection based on semantic artificial bee colony algorithm using autonomous cooperative agents

2^nd International Conference and Exhibition on Satellite & Space Missions

July 21-23, 2016 Berlin, Germany

Trevor Watkins

Kent State Univeristy Libraries, USA

Posters & Accepted Abstracts: J Aeronaut Aerospace Eng

Abstract :

NASA��?s Deep Space Network (DSN) is a network of satellites, antennas, and interplanetary probes. While effective, the current two-way communication link used for probe control and data collection, has some limitations. This paper dicusses how to scale and improve the current Deep Space Network by integrating a new peer-to-peer mesh satellite architecture based on Artificial Bee Colony Algorithm (ABCA) using autonomous cooperative agents. This paper is divided into three parts. First, the architecture is discussed. It is composed of a new central semantic routing algorithm between satellites, a data forwarding mechanism, and a winter cluster resiliency scheme. Second the interaction, responsibilities, and cooperation between autonomous software agents that govern each satellite is discussed. Finally the integration of this infrastructure with the existing DSN infrastructure is discussed.

Biography :

Email: twatkin6@kent.edu