Performance Evaluation of a Single Microsatellite Data Collection System using Small Ground Terminals

Zantou, El Bachir; Kherras, Abdelhaq; Addaim, Adnane

doi:10.2514/1.19097

Cited by 3 publications

(3 citation statements)

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“…The Nanosatellite requires employment of a simple store-and-forward payload, due to the Cubesat dimensions of 10×10×10 cm 3 , whereas all the complexity is brought back to the RNs. The RNs are equipped with a Control Unit which uses the orbitography software to recognize the moments of the Nanosatellite passage.…”

Section: Sensor Node Designmentioning

confidence: 99%

“…SNs located in specified predetermined sensing locations send the gathered physical information to a RN, which in turn forwards the data to the LEO Nanosatellite. Noted that the number of passes per day of the Nanosatellite, with altitude of 650Km, over the same service area on the earth is equal to four [3]. A central station could gather data via the Nano-satellite from worldwide remote sites, where human presence is expensive and difficult to support (montains, deserts, oceans, dams, …).…”

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Design of WSN with Relay Nodes Connected Directly with a LEO Nanosatellite

Addaim¹,

Kherras²,

Guennoun³

2014

IJCCE

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Abstract-There have been a few studies in the literature about using a Low Earth Orbit (LEO) satellite as a component of wireless sensor network (WSN). The satellite, as small as a Nanosatellite with a lifetime of three months, requires employment of a very simple payload whereas all the complexity is brought back to the relay nodes (RNs) which are connected directly to the Nanosatellite using a random access protocol. The mainly constraint on the design of this type of RN is its energy consumption which determine the lifetime of the WSN network. In this article, in order to calculate the energy comsumption of each RN, we will establish a mathematical model which takes into account all parameters involved for determining the lifetime of a RN for direct Communication with a LEO Nanosatellite. This model is completted by using discret event simulator. The simulations show that we could reach the maximum number of RNs that can be served by the Nanosatellite by implementing an optimized method of energy-saving on these RNs.Index Terms-LEO satellite, data aggregation, slotted ALOHA, WSN, satellite communication. I. INTRODUCTIONRecent advances in the development of Wireless Sensor Networks (WSNs) [1] reveal a new architecture [2] for WSN network using direct communication between typical RNs and a satellite. In this paper, each RN plays the role of cluster head node which consists of aggregating received data from many sensor nodes into an aggregated data packet and then forwarding the aggregated data packet to the Nanosatellite.The network architecture under consideration consists of SNs, RNs, a satellite and a Central Station (see Fig. 1). SNs located in specified predetermined sensing locations send the gathered physical information to a RN, which in turn forwards the data to the LEO Nanosatellite. Noted that the number of passes per day of the Nanosatellite, with altitude of 650Km, over the same service area on the earth is equal to four [3]. A central station could gather data via the Nano-satellite from worldwide remote sites, where human presence is expensive and difficult to support (montains, deserts, oceans, dams, …). Then the gathered data will be archived to a database and accessed by Internet. In this article, we will focus on the direct communication between the RNs and the Nanosatellite and especially on the energy consumption of a RN which is the key parameter to design such WSN. Manuscript received February 12, 2014; revised April 28, 2014. A. Addaim is with the Ecole Nationale des Sciences Appliqué es (ENSA), Kenitra, B.P 241,.A. Kherras and Z. Guennoun are with the Mohammadia Engineering School, Rabat, B.P 765, Morocco (e-mail: kherras@emi.ac.ma, guennoun@emi.ac.ma). II. SYSTEM DESCRIPTION Consider a communication network comprising one LEO Store and forward Cubesat Nanosatellite and a finite number of RNs on the ground. The instantaneous coverage of the satellite depends on the minimum angle of elevation E min under which any RN can be serviced by the Nanosatellite. Because of the spherical shape...

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Section: Sensor Node Designmentioning

confidence: 99%

mentioning

confidence: 99%

Design of WSN with Relay Nodes Connected Directly with a LEO Nanosatellite

Addaim¹,

Kherras²,

Guennoun³

2014

IJCCE

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“…Although this kind of transmission results in large numbers of collisions between simultaneously transmitted packets and low performance, but its simplicity is strong enough that even now we see some research on its basic idea. In the paper, 4 we evaluated the use of Unslotted Aloha by terminals situated in specific limited area (Morocco country). Here we will evaluate the use of a variant Slotted Aloha by terminals situated in general satellite service area.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Store-and-Forward Data Collection Network using Low-cost LEO Nanosatellite and Intelligent Terminals

Addaim

Kherras

Zantou

2008

Journal of Aerospace Computing, Information, and Communication

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There have been a lot of studies about Low Earth Orbit satellite constellations but very few have dealt with a single LEO satellite. The Picosatellite, as small as the Cubesat concept, requires employment of a simple store-and-forward payload whereas all the complexity is brought back to the terminals. This paper describes the design and analysis of store-andforward data collection network using low-cost LEO Picosatellite and intelligent ground terminals. The study will employ the SlottedAloha multiple access in the uplink and will assess its efficiency in terms of the maximum number of ground terminals that can be served by the satellite. In this work, we will establish a mathematical model for evaluating the performance of the Slotted Aloha system and then we will present some simulation results by using discrete event simulations. In such a system, two appropriate measures of the performance are the throughput and the average delay; thus, we will use these measures in this paper. A good correlation between analytical model and the discrete event simulations was found.

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