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

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.


Results from three topology control algorithms (RAT, , MST) showing total received packets (a) and average packet loss rate (b).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC5375731&req=5

sensors-17-00445-f009: Results from three topology control algorithms (RAT, , MST) showing total received packets (a) and average packet loss rate (b).

Mentions: Figure 9a shows the total packets received varying with the simulation time. When the network works with MST, the received packets increase slowly, especially after s. The network with performs slightly better compared to MST. Comparing the situation without control with RAT (s), it is clear that the results of two conditions are nearly the same. The without control scenario receives a total of 10,125 packets, while RAT (s) receives 10,123 packets with just two packets left. This means that the topology with RAT (s) maintains the most reliable ISLs compared to other algorithms. Additionally, when η in RAT increases, the performance of received packets goes down, but it also performs better than and MST. Furthermore, when the simulation runs at time interval , all of the algorithms show the interruption of received data increasing, the reason being that the topology during that time changes so rapidly that the routing protocol on every satellite cannot find possible routing paths on time.


A Topology Control Strategy with Reliability Assurance for Satellite Cluster Networks in Earth Observation
Results from three topology control algorithms (RAT, , MST) showing total received packets (a) and average packet loss rate (b).
© Copyright Policy - open-access
Related In: Results  -  Collection

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

sensors-17-00445-f009: Results from three topology control algorithms (RAT, , MST) showing total received packets (a) and average packet loss rate (b).
Mentions: Figure 9a shows the total packets received varying with the simulation time. When the network works with MST, the received packets increase slowly, especially after s. The network with performs slightly better compared to MST. Comparing the situation without control with RAT (s), it is clear that the results of two conditions are nearly the same. The without control scenario receives a total of 10,125 packets, while RAT (s) receives 10,123 packets with just two packets left. This means that the topology with RAT (s) maintains the most reliable ISLs compared to other algorithms. Additionally, when η in RAT increases, the performance of received packets goes down, but it also performs better than and MST. Furthermore, when the simulation runs at time interval , all of the algorithms show the interruption of received data increasing, the reason being that the topology during that time changes so rapidly that the routing protocol on every satellite cannot find possible routing paths on time.

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.