【作者】 胡黎黎；

【导师】 陈向东；

【作者基本信息】 西南交通大学 ， 通信与信息系统， 2007， 硕士

【摘要】 无线传感器网络(WSN)是由大量低成本且具有传感、数据处理和无线通信能力的传感器节点自组织构成的多跳网络。由于无线传感器网络不受有线网络约束，组网快捷，具有广阔的应用空间，因而吸引了大量研究者的注意。无线传感器网络中的节点一般采用电池供电，可以使用的电量非常有限，而且电池的更换是非常困难，但是其的生存时间却要求长达数月甚至数年，因此，大部分研究都致力于如何建立有效的方案来增长网络的生存期。本文针对无线传感器网络的动态网络环境和节点能源受限且通常无法补充的能源特性等不利因素，提出了一种可以实现能量最优的QoS路由发现方法。该方法利用节点选择机制和节点邻居表来建立满足QoS带宽需求的可供选择的节点集合，从而减少路由发现过程中的所要监测的节点数量。所提方法还构建了无线传感器网络的能量评价模型和节点能耗权重模型，使用遗传算法从可供选择的节点集合中构建可实现能量最优的QoS路由，自适应的实现对节点调度，从而延长无线传感器网络的寿命。通过实验仿真与分析，给出了本文遗传算法的控制参数的选择区间。实验结果显示本文提出的可实现能量最优的QoS路由发现方法对无线传感器网络具有更好的适应性且能保证其有更长的寿命。更多还原

【Abstract】 The wireless sensor networks (WSN), composed by sensors, microprocessor and wireless communication interface, is a multiple-hop and self-organized networks. The research of WSN has attracted lots of attentions because of its wide applications in resent years.Since WSN is characterized by its limited battery-supplied power, extensive research efforts have been devoted to the design of efficient power saving policy to increase its lifetime.In order to overcome the negative factors due to the natural characteristics of WSN, we present a new quality of QoS route discovery method which could guarantee the requirement of QoS and has better network lifetime. The method utilizes the node selection system and node’s neighbor table to construct the set of candidate node in which the node’s left bandwidth meet the requirement of the mission. So the number of the node which is supposed to be detected will reduce. In order to maximize the WSN’s lifetime, the genetic algorithm (GA) utilizes the energy estimate model and node energy consumption weight model which are constructed to adaptive deal with the nodes’s scheduling problem in WSN. The simulations and the analysis show the choosing interval of the controlling parameters proposed by the GA. The experiment results show the QoS route discovery method with the implementation of best energy for WSN has better adaptability and longer lifetime.更多还原