Abstract:Space information network (SIN) is an innovative networking architecture to achieve near-realtime mass data observation, processing and transmission over the globe. In the SIN environment, it is essential to coordinate multi-dimensional heterogeneous resources (i.e., observation resource, computation resource and transmission resource) to improve network performance. However, the time varying property of both the observation resource and transmission resource is not fully exploited in existing studies. Dynamic… Show more
“…On the contrary, the extended graph model expands the network topology in the time dimension, and multiple replicas of nodes coexist and are connected with additional edges representing the storage process. Similarly, due to the topology evolution can be regarded as a serial of snapshots with fixed time discretization interval τ t , Time Expanded Graph [19], shown as Fig. 1 with network topology defined in Table. 2.…”
Section: B Graph Model For Rs-dtnetmentioning
confidence: 99%
“…Equation 16 18is related with task data model, which indicates the data injected into RS-DTNet. Equation (19) imposes restrictions on the flow, from different task transferred on the same edge. Due to the F j and Cap v u is evaluated by bundle, f j u,v is defined as nonnegative integer, as demonstrated in Equation 20.…”
Benefiting from the extensive coverage, remote sensing satellites have been playing important roles in surveillance for regions on the earth surface. In order to accommodate with intermittent connected and partitioned characteristics of satellite topology, disruption-tolerant network (DTN) develops a feasible solution for networking among such satellites. However, utilized widely and frequently in the future, numerous image covering hundreds of spectral bands and kilometers width is supposed to be delivered simultaneously. Due to the timeliness constrain, efficient routing design with minimum delivery delay for bulk and concurrent image data has become the bottleneck of remote sensing application. Considering data transmission initiated as different tasks, therefore, the Task-driven Updated Discrete Graph (TUDG) is designed to depict the topology evolution, with task data and edge capacity model for BP/LTP incorporated Remote Sensing DTN Network (RS-DTNet). In particular, the multitask-based delivery delay analytical framework is proposed based on the TUDG graph model, by solving a mixed integer Max-Min optimization problem. The Multi-Task Minimum Delay Routing (MTMDR) is designed with the delay-optimal flow distribution, dispatching appropriate bundle data to edges in the TUDG. This flow-based routing avoids the path selection procedure, which may degenerate the delivery delay performance. Through numerical simulation based on the representative RS-DTNet scene, the proposed MTMDR routing strategy shows to advantage on delivery delay, compared with typical path-based routing. INDEX TERMS Delivery delay, disruption-tolerant network, min-max optimization, remote sensing.
“…On the contrary, the extended graph model expands the network topology in the time dimension, and multiple replicas of nodes coexist and are connected with additional edges representing the storage process. Similarly, due to the topology evolution can be regarded as a serial of snapshots with fixed time discretization interval τ t , Time Expanded Graph [19], shown as Fig. 1 with network topology defined in Table. 2.…”
Section: B Graph Model For Rs-dtnetmentioning
confidence: 99%
“…Equation 16 18is related with task data model, which indicates the data injected into RS-DTNet. Equation (19) imposes restrictions on the flow, from different task transferred on the same edge. Due to the F j and Cap v u is evaluated by bundle, f j u,v is defined as nonnegative integer, as demonstrated in Equation 20.…”
Benefiting from the extensive coverage, remote sensing satellites have been playing important roles in surveillance for regions on the earth surface. In order to accommodate with intermittent connected and partitioned characteristics of satellite topology, disruption-tolerant network (DTN) develops a feasible solution for networking among such satellites. However, utilized widely and frequently in the future, numerous image covering hundreds of spectral bands and kilometers width is supposed to be delivered simultaneously. Due to the timeliness constrain, efficient routing design with minimum delivery delay for bulk and concurrent image data has become the bottleneck of remote sensing application. Considering data transmission initiated as different tasks, therefore, the Task-driven Updated Discrete Graph (TUDG) is designed to depict the topology evolution, with task data and edge capacity model for BP/LTP incorporated Remote Sensing DTN Network (RS-DTNet). In particular, the multitask-based delivery delay analytical framework is proposed based on the TUDG graph model, by solving a mixed integer Max-Min optimization problem. The Multi-Task Minimum Delay Routing (MTMDR) is designed with the delay-optimal flow distribution, dispatching appropriate bundle data to edges in the TUDG. This flow-based routing avoids the path selection procedure, which may degenerate the delivery delay performance. Through numerical simulation based on the representative RS-DTNet scene, the proposed MTMDR routing strategy shows to advantage on delivery delay, compared with typical path-based routing. INDEX TERMS Delivery delay, disruption-tolerant network, min-max optimization, remote sensing.
“…In recent years, with the rapid development of manufacture level of satellites, launch technology of rockets, and interstellar communication technology, the role of the Space Information Network (SIN) is more important to national defense and people's livelihoods [1][2][3]. There are many countries of the world that are fully aware of the important role of SIN in international competition and national economic development.…”
As an important national strategy infrastructure, the Space Information Network (SIN) is a powerful platform for future information support. The architecture model of the SIN is of great significance to the construction and development of the SIN. For the problems related to the poor versatility, portability, and recombination of the existing architecture modeling methods of the SIN, in this paper, based on the Data as a Center (DaaC) modeling idea, we propose a reconfigurable model of the task-oriented architecture of the SIN. Combining with the typical characteristics of the SIN, and drawing on the advantages of activity-based flexibility, service-oriented integrity, and object-oriented reusability, we propose a DaaC modeling idea with space data. The DaaC modeling idea can solve the problems related to the poor versatility and portability of the SIN architecture. Based on the DaaC idea, we analyze the requirements of the task-oriented architecture, and define the basic concepts of SIN reorganization, including the reconfigurable target, reconfigurable scheme, and reconfigurable SIN. We establish the reconfigurable principles of loose coupling, compatibility, isolation, and deconstruction. Meanwhile, we analyze the realization mechanism and methods of the task-oriented reconfigurable model of the SIN based on DaaC. Finally, we take a typical SIN as an example, and make a case study on land-based anti-missile combat activities as the task background based on the DoDAF2.0 (Department of Defense Architectural Framework 2.0) framework and the STK (Satellite Tool Kit) simulation platform. The case results are consistent with the theoretical expectation, and it verifies the feasibility and effectiveness of our proposed method.
“…With the space information network (SIN) unprecedented evolution, the limited communication capacity of traditional single satellite service model cannot meet users' requirements [1] - [3]. It is crucial to the next generation of SIN to enhance the satellites cooperation and resources sharing, which can lead to the better performance.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.