CAREER: Coverage, Capacity, and Connectivity of Wireless Sensor Networks

职业：无线传感器网络的覆盖范围、容量和连接性

• 批准号: 0953620
• 负责人: Benyuan Liu
• 金额: $ 40.3万
• 依托单位: University of Massachusetts Lowell
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-01 至 2016-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0953620&HistoricalAwards=false
• 关键词: CAREER; Coverage; Capacity; Connectivity; Wireless

Wireless sensor networks play an important role in a wide variety of applications such as environment monitoring and battlefield surveillance. The basic function of a wireless sensor network is to monitor its deployed region and transport sensor data to certain designated nodes. Therefore, coverage, capacity, and connectivity are three most fundamental properties for the operation and performance of a wireless sensor network. A deep understanding of these properties and their interrelationship is of great importance for the network planning, algorithm design, and performance of wireless sensor networks.This project aims to establish a strong theoretical foundation and design practical protocols to provide high performance coverage, capacity, and connectivity in wireless sensor networks. Wireless sensor networks have many unique characteristics differing from other wireless networks, including heterogeneous sensing, communication, and mobility capabilities of sensor nodes, limited infrastructure and power supply, and traffic pattern where data mainly flow from sensors to data sinks rather than between peer nodes. This research integrates the concepts and techniques in wireless communications, stochastic modeling, geometry, and combinatorial optimizations to construct analytical models and develop practical solutions.The expected outcomes include: (i) fundamental limits of the coverage, capacity, and connectivity under various network scenarios; (ii) efficient algorithms for robust coverage, connectivity, and data transportation; (iii) a test-bed to validate the analytical results and evaluate the performance of algorithms via real experiments. This project also includes a strong educational component that promotes teaching, training, and learning through the active involvement of research students.

无线传感器网络在环境监测、战场监视等领域有着广泛的应用。无线传感器网络的基本功能是监测其部署的区域，并将传感器数据传输到指定的节点。因此，覆盖、容量和连通性是无线传感器网络运行和性能的三个最基本的属性。深入了解这些特性及其相互关系对于无线感测器网路的网路规划、演算法设计与效能评估具有重要的意义，本计画旨在建立坚实的理论基础，并设计实用的协定，以提供高效能的无线感测器网路复盖、容量与连通性。 无线传感器网络具有许多不同于其他无线网络的独特特征，包括传感器节点的异构感知、通信和移动能力，有限的基础设施和电源，以及数据主要从传感器流向数据汇而不是在对等节点之间流动的流量模式。本研究整合无线通信、随机建模、几何学和组合优化等概念和技术，构建分析模型并开发实用解决方案，预期成果包括：（i）各种网络场景下覆盖、容量和连通性的基本限制;（ii）鲁棒覆盖、连通性和数据传输的有效算法;（iii）网络覆盖、连通性和数据传输的优化算法;（iv）网络覆盖、连通性和数据传输的优化算法。（iii）通过真实的实验验证分析结果并评估算法性能的测试平台。该项目还包括一个强有力的教育组成部分，通过研究学生的积极参与促进教学，培训和学习。