Staying Alive: System Design for Self-Sufficient Sensor Networks
Staying Alive: System Design for Self-Sufficient Sensor Networks
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DOI：
10.1145/2700269
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发表时间：
2015-05-01
影响因子：
4.1
通讯作者：
Rossi, Michele
中科院分区：
文献类型：
--
作者：
Bui, Nicola;Rossi, Michele
自我可持续性是现代传感器网络的关键一步。在这里，我们提供了一个由可再生能源驱动的自主传感器网络的原始和全面的框架。我们将我们的设计分解为两个嵌套的优化步骤：内部步骤描述了平均能耗约束下的最佳网络操作点，而外部步骤提供了在线能源管理策略，使系统在不可预测和间歇性能源的存在下能够自给自足。我们的框架揭示了新的光到务实的计划，用于控制能量收集传感器网络的设计，并允许衡量关键的传感器网络参数的影响，如电池容量，收割机的大小，信息传输速率，和无线电占空比。我们分析的情况下，节点有不同的能量流入统计和拓扑结构的变化可能会发生，设计有效的策略的能量管理策略的鲁棒性。我们的能源管理政策最终评估考虑真实的太阳辐射痕迹，验证他们对国家的最先进的解决方案，并描述相关的设计选择的影响，可实现的网络吞吐量和电池级动态。
Self-sustainability is a crucial step for modern sensor networks. Here, we offer an original and comprehensive framework for autonomous sensor networks powered by renewable energy sources. We decompose our design into two nested optimization steps: the inner step characterizes the optimal network operating point subject to an average energy consumption constraint, while the outer step provides online energy management policies that make the system energetically self-sufficient in the presence of unpredictable and intermittent energy sources. Our framework sheds new light into the design of pragmatic schemes for the control of energy-harvesting sensor networks and permits to gauge the impact of key sensor network parameters, such as the battery capacity, the harvester size, the information transmission rate, and the radio duty cycle. We analyze the robustness of the obtained energy management policies in the cases where the nodes have differing energy inflow statistics and where topology changes may occur, devising effective heuristics. Our energy management policies are finally evaluated considering real solar radiation traces, validating them against state-of-the-art solutions, and describing the impact of relevant design choices in terms of achievable network throughput and battery-level dynamics.