TP-Satellite: A New Transport Protocol for Satellite IP Networks

Jiong, Liu; Cao, Zhigang; Junaid, K.M.

doi:10.1109/taes.2009.5089537

Cited by 14 publications

(4 citation statements)

References 38 publications

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“…Weighting-based routing is effective in satellite communications, enhancing the prioritization process of network traffic [24]. The introduction of the TP-Satellite protocol significantly improves the throughput and fairness of resource allocation, which is critical for mission classification in satellite networks [25]. Adaptive transmission models set a new standard for energy-efficient satellite mission management [26].…”

Section: Dynamic Task Priority and Satellite Schedulingmentioning

confidence: 99%

“…Given the system model developed in the previous sections and the understanding of the optimal solution algorithm, we now present a comprehensive algorithmic framework to optimize the task scheduling problem. The framework is designed based on the mathematical relationships and constraints previously outlined in Equation (20) through Equation (25) and is intended to refine the solution space further and provide enhanced performance.…”

Section: Constructing An Algorithmic Frameworkmentioning

confidence: 99%

“…Equation (24) specifies that the sum of the start times of all tasks is 1. This is the initial condition of the model and ensures that all tasks are considered equally and initialized correctly in the scheduling model and that there is no time overlap (see Equation (25)). These formulas form a powerful mathematical model for solving the dynamic priority adjustment problem in satellite mission scheduling.…”

mentioning

confidence: 99%

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Remote-Sensing Satellite Mission Scheduling Optimisation Method under Dynamic Mission Priorities

Li,

Sun,

Fan

et al. 2024

Mathematics

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Mission scheduling is an essential function of the management control of remote-sensing satellite application systems. With the continuous development of remote-sensing satellite applications, mission scheduling faces significant challenges. Existing work has many inherent shortcomings in dealing with dynamic task scheduling for remote-sensing satellites. In high-load and complex remote sensing task scenarios, there is low scheduling efficiency and a waste of resources. The paper proposes a scheduling method for remote-sensing satellite applications based on dynamic task prioritization. This paper combines the and Bound methodologies with an onboard task queue scheduling band in an active task prioritization context. A purpose-built emotional task priority-based scheduling blueprint is implemented to mitigate the flux and unpredictability characteristics inherent in the traditional satellite scheduling paradigm, improve scheduling efficiency, and fine-tune satellite resource allocation. Therefore, the Branch and Bound method in remote-sensing satellite task scheduling will significantly save space and improve efficiency. The experimental results show that comparing the technique to the three heuristic algorithms (GA, PSO, DE), the BnB method usually performs better in terms of the maximum value of the objective function, always finds a better solution, and reduces about 80% in terms of running time.

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Section: Dynamic Task Priority and Satellite Schedulingmentioning

confidence: 99%

Section: Constructing An Algorithmic Frameworkmentioning

confidence: 99%

mentioning

confidence: 99%

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Remote-Sensing Satellite Mission Scheduling Optimisation Method under Dynamic Mission Priorities

Li,

Sun,

Fan

et al. 2024

Mathematics

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“…A traffic-light-based routing protocol relying on preliminary routing planning is proposed in [8] for non-geostationary satellite IP networks. By contrast, an end-to-end transport protocol is proposed in [9] for satellite IP networks, which adopts a prompt bootstrapping algorithm to increase the transmission rate at the beginning of the session. However, the aforementioned advances in the context of satellite-based IP networks rely on TCP-like end-to-end transmission, hence they remain vulnerable to the mobilityinduced intermittence of satellite networks.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Resilience of Low Earth Orbit Remote Sensing Satellite Networks

Yang

Jiang

et al. 2020

IEEE Network

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The Low earth orbit Remote Sensing (LRS) satellite network is envisioned as an essential component of bolstering space information applications, thus extending conventional ground information applications to the on-board space information applications. However, it inevitably faces grave challenges imposed by the dynamics of the satellite network's topology, by the intermittence of Inter-Satellite communication Links (ISLs) as well as by the mobility-induced satellite-access switching of mobile terminals. Hence, this is a very different networking landscape from that of the terrestrial Internet. Against these challenging problems, we propose a resilient networking architecture for LRS Satellite Networks (LRS-SNs), with special emphasis on their dynamic routing, resilient transmission and their intrinsic mobility. Specifically, path-quality aided and lifetimeaware dynamic routing is proposed for enhancing the routing against dynamic topology changes. Hop-by-hop data transmission is relied upon for providing transmission resilience against ISL intermittence. Furthermore, data caching is invoked for providing resilience against intermittent communications imposed by dynamic satellite access switching. We employ on semi-physical simulation platform for evaluating the achievable performance of the proposed resilient network architecture.

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Technical Challenges of Integration of Space and Terrestrial Systems

Walker¹,

Hoeber²

2013

Handbook of Satellite Applications

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TP-Satellite: A New Transport Protocol for Satellite IP Networks

Cited by 14 publications

References 38 publications

Remote-Sensing Satellite Mission Scheduling Optimisation Method under Dynamic Mission Priorities

Remote-Sensing Satellite Mission Scheduling Optimisation Method under Dynamic Mission Priorities

Enhancing the Resilience of Low Earth Orbit Remote Sensing Satellite Networks

Technical Challenges of Integration of Space and Terrestrial Systems

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