无线可充电传感网的能量补充及数据收集研究

发布时间：2018-06-30 09:44

本文选题：无线可充电传感器网络 + 移动充电器　；参考：《南京邮电大学》2017年硕士论文

【摘要】：无线传感器网络最大研究瓶颈是网络总能量受限的问题。随着微电子集成电路、无线能量传输技术的飞速发展,可充电式的无线传感器网络将传统使用一次性电池的传感网取而代之。采用移动充电设备为传感器网络提供可持续工作的能量,成为当前新兴的研究热点和发展趋势。本文首先研究了在不考虑数据收集情况下单个充电器的移动充电方案提出了一种区域优先充电的概念,将原来针对单个节点充电请求顺序、剩余能量和位置距离的研究扩展为针对子区域范围内整体节点的剩余能量、位置距离的讨论。我们提出了最大化充电有用功和最大化网络寿命的联合充电策略MJRL,区域优先充电的方法减少了充电器的总移动距离,提高了充电器充电开销比并延长了网络寿命。通过搭建仿真平台,我们对算法进行了验证,仿真结果表明MJRL移动充电策略能有效地提高网络充电有用功,减少充电器总移动距离。然后,本文继续讨论了在考虑数据收集情况下移动充电和数据采集的联合研究问题。移动充电器不仅对低电量的节点进行能量补充,可同时进行数据收集工作。针对这种模型,约束充电器最大移动距离,我们通过数学建模得到了优化模型,设计出了一种最大化节点最低剩余能量的充电方法MMRE,仿真结果可以验证新的充电方案能有效提高网络中节点的最低剩余能量,延长网络寿命。
[Abstract]:The biggest bottleneck of wireless sensor networks is the limitation of total network energy. With the rapid development of microelectronic integrated circuits and wireless energy transmission technology, rechargeable wireless sensor networks replace the traditional sensor networks with disposable batteries. The use of mobile charging devices to provide sustainable energy for sensor networks has become a new research hotspot and development trend. In this paper, we first study the mobile charging scheme of single charger without considering the data collection. A concept of regional priority charging is proposed, and the original charging request order for a single node is put forward. The study of residual energy and position distance is extended to discuss the residual energy and position distance of the whole node in the subregion. We propose a combined charging strategy, MJRL, which maximizes charging power and network lifetime. The area priority charging method reduces the total moving distance of the charger, improves the charging cost ratio and prolongs the network life. The simulation results show that the MJRL mobile charging strategy can effectively improve the network charging power and reduce the total moving distance of the charger. Then, this paper discusses the joint research of mobile charging and data acquisition considering data collection. The mobile charger can not only replenish the energy of low-power nodes, but also collect data at the same time. For this model, we obtain the optimization model by mathematical modeling, which constrains the maximum moving distance of the charger. A charging method MMREE is designed to maximize the minimum residual energy of the nodes. The simulation results show that the new charging scheme can effectively improve the minimum residual energy of the nodes in the network and prolong the network life.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5;TP212.9

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