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A Topology Control Strategy with Reliability Assurance for Satellite Cluster Networks in Earth Observation

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ABSTRACT

This article investigates the dynamic topology control problem of satellite cluster networks (SCNs) in Earth observation (EO) missions by applying a novel metric of stability for inter-satellite links (ISLs). The properties of the periodicity and predictability of satellites’ relative position are involved in the link cost metric which is to give a selection criterion for choosing the most reliable data routing paths. Also, a cooperative work model with reliability is proposed for the situation of emergency EO missions. Based on the link cost metric and the proposed reliability model, a reliability assurance topology control algorithm and its corresponding dynamic topology control (RAT) strategy are established to maximize the stability of data transmission in the SCNs. The SCNs scenario is tested through some numeric simulations of the topology stability of average topology lifetime and average packet loss rate. Simulation results show that the proposed reliable strategy applied in SCNs significantly improves the data transmission performance and prolongs the average topology lifetime.

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An example of topology changing varying with time.
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sensors-17-00445-f002: An example of topology changing varying with time.

Mentions: Similar to MWSNs [28,29], this paper first supposes that there are N satellites in the SCNs. Then, the network can be described as using the Graph Theory, where denotes the vertex of nodes positions in an Earth-centered inertial reference frame (ECI) and is the set of undirected ISLs among satellites. Let the network be composed of u clusters, and each cluster has satellites and links, i.e., . Figure 1 shows the structure of SCNs with four clusters and the cluster A and D run cooperatively to accomplish EO missions (satellites in cluster D are responsible for target detection and clusters A transmits the data of images to the ground station). Moreover, due to satellites in SCNs moves around each other varying the time, the network topology using snapshot can be represented as: , where, denotes the initial time of network topology, η is the time interval of every-two snapshots, and n denotes any positive integer. For an example, Figure 2 illustrates the topology snapshots of dynamic time varying network, where nodes a to f represent the satellites running with each other in a known range [30].


A Topology Control Strategy with Reliability Assurance for Satellite Cluster Networks in Earth Observation
An example of topology changing varying with time.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5375731&req=5

sensors-17-00445-f002: An example of topology changing varying with time.
Mentions: Similar to MWSNs [28,29], this paper first supposes that there are N satellites in the SCNs. Then, the network can be described as using the Graph Theory, where denotes the vertex of nodes positions in an Earth-centered inertial reference frame (ECI) and is the set of undirected ISLs among satellites. Let the network be composed of u clusters, and each cluster has satellites and links, i.e., . Figure 1 shows the structure of SCNs with four clusters and the cluster A and D run cooperatively to accomplish EO missions (satellites in cluster D are responsible for target detection and clusters A transmits the data of images to the ground station). Moreover, due to satellites in SCNs moves around each other varying the time, the network topology using snapshot can be represented as: , where, denotes the initial time of network topology, η is the time interval of every-two snapshots, and n denotes any positive integer. For an example, Figure 2 illustrates the topology snapshots of dynamic time varying network, where nodes a to f represent the satellites running with each other in a known range [30].

View Article: PubMed Central - PubMed

ABSTRACT

This article investigates the dynamic topology control problem of satellite cluster networks (SCNs) in Earth observation (EO) missions by applying a novel metric of stability for inter-satellite links (ISLs). The properties of the periodicity and predictability of satellites’ relative position are involved in the link cost metric which is to give a selection criterion for choosing the most reliable data routing paths. Also, a cooperative work model with reliability is proposed for the situation of emergency EO missions. Based on the link cost metric and the proposed reliability model, a reliability assurance topology control algorithm and its corresponding dynamic topology control (RAT) strategy are established to maximize the stability of data transmission in the SCNs. The SCNs scenario is tested through some numeric simulations of the topology stability of average topology lifetime and average packet loss rate. Simulation results show that the proposed reliable strategy applied in SCNs significantly improves the data transmission performance and prolongs the average topology lifetime.

No MeSH data available.