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E-CGR: Energy-Aware Contact Graph Routing Over Nanosatellite Networks

机译:E-CGR:通过纳米卫星网络路由能量感知的联系图路由

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摘要

Satellite constellations are envisioned as meaningful transport networks to forward data throughout the world, both as a solution for areas where there are no other telecommunication infrastructures or as a backup solution to support the terrestrial network. Low Earth Orbit (LEO) satellites are the most appealing for this purpose due to the achievable performance keeping low design and deployment costs. Mega-constellation made of thousands of small LEO satellites are planned to be employed to cover the entire Earth’s surface. However, smaller is the size and weight of satellites, higher are the technological challenges and stricter are the hardware constraints which affect the data forwarding process and have to be taken into account. Energy is one of them. Telecommunication hardware energy consumption is considerable, especially in case of high traffic volumes, while energy storage capacity and battery recharge rate are limited due to the small battery size and solar panel surface area, respectively. In this paper, we propose a novel energy-aware routing algorithm based on the Contact Graph Routing (CGR) called E-CGR. E-CGR exploits static and known a priori information about contacts to compute routing paths from sources to destinations which are then “validated” and “confirmed” from the energy viewpoint.
机译:卫星星座被设想为在全球范围内转发数据的有意义的传输网络,这都是没有其他电信基础架构或支持地面网络的备份解决方案的解决方案。由于可实现的性能保持低设计和部署成本,低地球轨道(LEO)卫星是最吸引人的目的。兆 - 星座由成千上万的小狮子座卫星制成,计划用于覆盖整个地球表面。然而,较小的是卫星的尺寸和重量,技术挑战越高,更严格的是影响数据转发过程的硬件约束,并且必须考虑到。能量是其中之一。电信硬件能耗相当大,特别是在高流量体积的情况下,由于小电池尺寸和太阳能电池板表面积,储能容量和电池充电率受到限制。在本文中,我们提出了一种基于COLTAL图路由(CGR)的新型能量感知路由算法(CGR)。 E-CGR利用静态并已知有关联系人的先验信息,以计算来自源的路由路径,然后从能量视点“验证”和“确认”。

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