Handover Management Based on Fuzzy Logic Decision for Leo Satellite Networks

Wang, Jinlong

doi:10.1080/10798587.2005.10644215

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…Among the satellites active on 30 November 2018, 1232 of them (63%) were low Earth orbit (LEO) satellites, i.e., those orbiting at an altitude of less than 2000 km above the Earth's surface. Since LEO satellites have the property of low propagation delay, they are very suitable for use in multimedia technology, as they should be able to deliver a large amount of information such as image and video signals at a higher data rate, as well as audio signals at a relatively low data rate [7,8].…”

Section: Introductionmentioning

confidence: 99%

An Effectiveness Evaluation Model for Satellite Observation and Data-Downlink Scheduling Considering Weather Uncertainties

et al. 2019

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Low Earth orbit (LEO) satellites play an important role in human space activities, and market demands for commercial uses of LEO satellites have been increasing rapidly in recent years. LEO satellites mainly consist of Earth observation satellites (EOSs), the major commercial applications of which are various sorts of Earth observations, such as map making, crop growth assessment, and disaster surveillance. However, the success rates of observation tasks are influenced considerably by uncertainties in local weather conditions, inadequate sunlight, observation dip angle, and other practical factors. The available time windows (ATWs) suitable for observing given types of targets and for transmitting data back to ground receiver stations are relatively narrow. In order to utilize limited satellite resources efficiently and maximize their commercial benefits, it is necessary to evaluate the overall effectiveness of satellites and planned tasks considering various factors. In this paper, we propose a method for determining the ATWs considering the influence of sunlight angle, elevation angle, and the type of sensor equipped on the satellite. After that, we develop a satellite effectiveness evaluation (SEE) model for satellite observation and data-downlink scheduling (SODS) based on the Availability–Capacity–Profitability (ACP) framework, which is designed to evaluate the overall performance of satellites from the perspective of time resource utilization, the success rate of tasks, and profit return. The effects of weather uncertainties on the tasks’ success are considered in the SEE model, and the model can be applied to support the decision-makers on optimizing and improving task arrangements for EOSs. Finally, a case study is presented to demonstrate the effectiveness of the proposed method and verify the ACP-based SEE model. The obtained ATWs by the proposed method are compared with those by the Systems Tool Kit (STK), and the correctness of the method is thus validated.

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Section: Introductionmentioning

confidence: 99%