Elsevier

Computer Networks

Volume 46, Issue 3, 22 October 2004, Pages 321-342
Computer Networks

Communication support for future earth science space missions

https://doi.org/10.1016/j.comnet.2004.06.014Get rights and content

Abstract

The NASA Earth Science Enterprise’s (ESE’s) vision for the future involves a scenario where all Earth observing spacecraft form a distributed network to provide real-time multi-sensor information transfer to users on the ground. This scenario will require sensors and instruments on spacecraft to become addressable nodes in a communication network. These include missions consisting of single spacecraft to multiple spacecraft flying in formation, in clusters, or in constellations. The present labor-intensive, mission-specific techniques for processing and routing data do not scale well and will become prohibitively expensive. To enable this vision, there is a critical need for advanced communications and dynamic network connectivity to provide broad coverage and intelligent-based real-time data delivery to scientists. These new missions will introduce a number of complex routing, network control, scheduling, data management and communication problems that need to be studied in detail. We introduce the current state-of-the-art in space communications for ESE, discuss potential benefits of a Uniform Space Network infrastructure and list some specific challenges in areas such as routing, transport layer and multiple access in this environment. We address issues related to extending this network in space and typical communication requirements and topologies for Earth Science missions and present a dynamic routing algorithm, MDRSH, for dynamically directing traffic from mission spacecraft to ground facilities. We present a simulation framework for studying future space missions and for testing newly developed protocols in such missions. We also present a case study for optimizing data downloads for a typical future mission scenario.

Introduction

The mission of NASA’s Earth Science Enterprise (ESE) is to understand the total Earth system and the effects of natural and human-induced changes on the global environment and to enable improved prediction of climate, weather, and natural hazards for present and future generations. The scientific goal of ESE is to observe, understand and model the Earth system and learn how it is changing, as well as the consequences for life on Earth. To achieve these goals, scientists on the ground need efficient means of accessing data collected by mission spacecraft. At the same time, it is essential to ensure fast and reliable ways of exchanging vital control information from ground facilities to spacecraft, from spacecraft to ground, or even between different mission spacecraft. Both requirements point to the necessity of a reliable and efficient mission communication support infrastructure.

ESE’s vision for the future involves a scenario where all Earth observing spacecraft form a distributed network to provide real-time multi-sensor information transfer directly to users on the ground. This scenario will require sensors and instruments on spacecraft to become addressable nodes in a communication network. These include missions consisting of single spacecraft to multiple spacecraft flying in formation, in clusters, or in constellations. The present labor-intensive, mission-specific techniques for processing and routing data do not scale well and will become prohibitively expensive. To enable this vision, there is a critical need for advanced communications and dynamic network connectivity to provide broad coverage and intelligent-based real-time data delivery to scientists. These new missions will introduce a number of complex routing, network control, scheduling, data management and communication problems that need to be studied in detail. Although there is related research and development work in wireless networking and some developments in the commercial satellite industry, no current work is addressing the unique topologies and special requirements of space-based networking.

We focus on work attempting to leverage current research in wireless and hybrid networks and deliver a state-of-the-art communication infrastructure design that can support IP-enabled spacecraft in a cost-efficient manner. Our ultimate goal would be to address the ESE mission communication requirements directly and provide solutions that will enable the simplest, most cost-effective delivery of science data when and where needed.

The structure of this paper is as follows: We introduce the current state-of-the-art in space communications for ESE, discuss potential benefits of a Uniform Space Network infrastructure and list some specific challenges in areas such as routing, transport layer and multiple access and some related work that can be applied in this case (Section 2). We define the communications characteristics of ESE missions (Section 3) and introduce a simple dynamic routing algorithm for space networks (Section 4). Finally, we discuss a simulation study for a sample case of a future mission (in this case a four-spacecraft constellation) (Section 5) and conclude with a summary and suggestions for further work.

Section snippets

Current state-of-the-art

NASA’s traditional mission support scheme is very labor-intensive, requiring a large support staff to monitor and maintain links between spacecraft and ground stations, as well as monitoring the health status of mission spacecraft. For every mission, NASA engineers need to develop a communication scheme before the mission is launched; that scheme, including path setup, transmission scheduling, and so on, would then be followed exactly during the course of the mission. This traditional

Characteristics of ESE missions

We are working on developing a comprehensive communications solution to support Earth Science missions and applications addressing the issues raised in the previous section. This includes work on extending TCP and IP protocols in space, on finding a dynamic and flexible way to share bandwidth and resources, on related network security issues and on optimizing routing and data download for space communications. It is important to establish an understanding of the basic communications

A dynamic routing algorithm for space communication networks

In this section, we describe a dynamic routing algorithm for supporting Earth Science Enterprise missions, which is called Minimum Distance Routing with Soft Handover (MDRSH). The MDRSH algorithm tries to find the route which introduces minimum propagation delay from the source to the destination. However, once a route is discovered, it will be used until it becomes unusable. A route becomes unusable means that the signal-to-noise-ratio (SNR) at the receiver end drops below the minimum SNR

Case study: the Magnetospheric Multiscale (MMS) mission

In this section, we present a case study for the MMS mission. We select this for our case study, as it would be one of the first missions to consist of a number of similar spacecraft in precise orbital geometries, therefore it falls under the category of “constellation” missions, which will play an increasingly important role in the future of Earth observation and space science. We discuss a simulation framework that can be adjusted and applied to study various NASA missions and present some

Summary and further work

We introduced the current state-of-the-art in space communications for ESE, discussed potential benefits of a Uniform Space Network infrastructure and list some specific challenges in areas such as routing, transport layer and multiple access in this environment. We presented a dynamic routing algorithm, MDRSH, for dynamically directing traffic from mission spacecraft to ground facilities. A discrete event simulation framework for studying future space missions and for testing newly developed

Acknowledgment

Part of this work was supported at CSHCN from the NASA Glenn Research Center, under contract NAG-3-2844.

Michael Hadjitheodosiou received the M.A. (Honours) in Electrical & Information Sciences from the University of Cambridge, UK in 1989, the M.S. in Electrical & Computer Engineering from the University of California, Irvine in 1992, and the Ph.D. in Engineering (specializing in satellite communications) from the Centre for Satellite Engineering Research (CSER) at the University of Surrey, UK, in 1995.

He worked as a Research Fellow in the Communication Systems group of CSER, University of Surrey

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  • Michael Hadjitheodosiou received the M.A. (Honours) in Electrical & Information Sciences from the University of Cambridge, UK in 1989, the M.S. in Electrical & Computer Engineering from the University of California, Irvine in 1992, and the Ph.D. in Engineering (specializing in satellite communications) from the Centre for Satellite Engineering Research (CSER) at the University of Surrey, UK, in 1995.

    He worked as a Research Fellow in the Communication Systems group of CSER, University of Surrey (1991–1995) and spent a year as a visiting fellow at the Canadian Government Communications Research Center (CRC) (1995–1996). In November 1996, he joined the Center for Satellite & Hybrid Communication Networks (CSHCN) at the Institute for Systems Research, University of Maryland, College Park, where he is currently an Assistant Research Scientist.

    Among his awards are: a scholarship award for studies at the University of Cambridge from the Cambridge Commonwealth Trust (1984–1986); a Fulbright Scholarship for post-graduate work in the United States (1989–1991); a Research Fellowship from the UK Engineering and Physical Sciences Research Council (EPSRC) (1992), and the Canadian National Science and Engineering Research Council (NSERC) post-doctoral fellowship award (1995).

    He is an expert on satellite networks and multi-satellite constellations. He has worked for several years in networking issues for VSAT networks, developed performance evaluation methods for satellite constellations, multiple access schemes for satellite networks and designs for satellite gateways. He is currently working on modeling and design of satellite systems, utilization of commercial satellite constellations for space mission support, and designing the new communications infrastructure that will support the future needs of NASA enterprises. His research interests include multimedia traffic modeling, service integration for wireless and hybrid networks, end-to-end performance optimization of satellite and mobile networks, protocol support over satellite channels, and design optimization of next generation space systems. He has published more than 100 papers on these topics in a variety of journals and conference proceedings.

    Yingyong Chen received a B.S. degree in Physics from Peking University, Beijing, China, in 1999. He is currently a Ph.D. student in the Department of Electrical and Computer Engineering at the University of Maryland. His current research interests lie in the area of satellite and wireless communications and in particular routing in satellite constellations, wireless mobile ad hoc and sensor network optimization and protocol support for hybrid communication networks. He is a student member of IEEE and the EEE Communications Society.

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