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Traffic-aware contact plan design for disruption-tolerant space sensor networks

机译:容错空间传感器网络的流量感知联系计划设计

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Delay and disruption tolerant networks (DTNs) are becoming an appealing solution for extending Internet boundaries across challenged network environments. In particular, if node mobility can be predicted as in space sensor networks (SSNs), routing schemes can take advantage of the a-priori knowledge of a contact plan comprising forthcoming communication opportunities. However, the design of such a plan needs to consider available spacecraft resources whose utilization can be optimized by exploiting the expected data which is largely foreseeable in typical Earth observation missions. In this work, we propose Traffic-Aware Contact Plan (TACP): a novel contact plan design procedure based on a Mixed Integer Linear Programming (MILP) formulation which exploits SSNs predictable properties in favor of delivering efficient and implementable contact plans for spaceborne DTNs. Finally, we analyze a low orbit SSN case study where TACP outperforms existing mechanisms and proves to be of significant impact on enhancing the delivery of sensed data from future space networks. (C) 2016 Elsevier B.V. All rights reserved.
机译:延迟和中断容忍网络(DTN)成为一种吸引人的解决方案,可以在受挑战的网络环境中扩展Internet边界。特别是,如果可以像在空间传感器网络(SSN)中那样预测节点的移动性,则路由选择方案可以利用包括即将到来的通信机会在内的联系计划的先验知识。但是,这种计划的设计需要考虑可用的航天器资源,这些资源的利用率可以通过利用在典型的地球观测任务中可以预见的预期数据来优化。在这项工作中,我们提出了流量感知联系计划(TACP):一种基于混合整数线性规划(MILP)公式的新颖联系计划设计程序,该计划利用SSN的可预测属性,从而为星载DTN提供有效且可实施的联系计划。最后,我们分析了一个低轨SSN案例研究,其中TACP优于现有机制,并被证明对增强未来太空网络中感测数据的传递具有重大影响。 (C)2016 Elsevier B.V.保留所有权利。

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