Integrated Sensing: ScalableSensorSim - A Simulation Environment for Large-Scale Sensor Networks

集成传感：ScalableSensorSim - 大规模传感器网络的仿真环境

• 批准号: 0225417
• 负责人: George Riley
• 金额: $ 24.99万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-10-01 至 2006-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0225417&HistoricalAwards=false
• 关键词: Integrated; Sensing; ScalableSensorSim; Simulation; Environment

In this project, we will extend and advance the state--of--the--artin the field of sensor network research in two important ways.First, we will design, implement, and distribute a simulation environmentdesigned specifically for sensor networks of hundreds of thousands ofnetwork elements. The basic simulator will be designed from the beginningwith scalability in mind, and will use distributed simulation methodsto increase the available memory and CPU power that and be utilizedto conduct the simulation experiments.Secondly, we will design and demonstrate a set of protocols designedspecifically for data dissemination in a very large--scale sensornetwork environment. These protocols will be power and bandwidth aware,allowing a maximization of data throughput while at the same timeextending the overall life of the network by limiting energy costsat individual network elements. The protocols will be designed tosupport a hierarchical view of the network, and will support primitivesfor data aggregation methods and selective attention of high--prioritymeasurements.Our simulation environment will be freely available to allresearchers working on large--scale wireless networks, and will fosterincreased attention to network performance as the network scales totens or hundreds of thousands of elements.Our power and bandwidth aware protocolswill encourage deployment of inexpensive environmental sensing devicesthat interact in a cooperative manner to insure sensor data is reliablydelivered to the end--user on a timely basis.

在这个项目中，我们将在两个重要方面扩展和推进传感器网络研究领域的最新研究成果：首先，我们将设计、实现和分发一个专门为具有数十万个网络单元的传感器网络设计的仿真环境。 基本的模拟器将从可扩展性的考虑，并将使用分布式仿真方法，以增加可用的内存和CPU的权力，并利用进行模拟实验。其次，我们将设计和演示一套协议designedspecifically在一个非常大规模的传感器网络环境中的数据传播。 这些协议将是功率和带宽感知的，允许最大化数据吞吐量，同时通过限制单个网络元素的能量成本来延长网络的整体寿命。 这些协议将被设计为支持网络的层次视图，并将支持数据聚合方法和高优先级测量的选择性注意的连续性。我们的模拟环境将免费提供给所有研究大规模无线网络的研究人员，随着网络扩展到数万或数十万个元素，我们的功率和带宽感知协议将鼓励部署廉价的环境传感设备，以合作的方式进行交互，以确保传感器数据及时可靠地传递给最终用户。