CAREER: M-ary Distributed Detection in Wireless Sensor Networks

职业：无线传感器网络中的多进制分布式检测

• 批准号: 1054687
• 负责人: Azadeh Vosoughi
• 金额: $ 42.98万
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-02-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1054687&HistoricalAwards=false
• 关键词: CAREER; ary; Distributed; Detection; Wireless

This research focuses on integrating M-ary distributed detection and communications, and makes a significant impact on the theory and practice of wireless sensor networks (WSNs) and cognitive radio networks (CRNs). In particular, the following four problems are tackled.(1) M-ary distributed detection: The PI develops fusion rules and local decision rules for M-ary distributed detection systems with different wireless channel models, and studies how the erroneous channels fundamentally limit the performance of these systems. Furthermore, two composite M-ary distributed detection problems that have applications in WSNs and CRNs are investigated: joint detection and localization of multiple acoustic sources and spectrum sensing in a multi-channel system. (2) Sequential methods for wireless distributed detection systems: Striving to gain a profound understanding of the tradeoffs between static and sequential distributed detection in wireless networks, the PI designs two sequential distributed detection systems with i) sequential tests only at the sensors and ii) sequential test only at the fusion center, and studies how the detection reliability and delay of static and sequential detection systems are affected by the adopted wireless channel model. (3) Impact of imperfect channel state information on the performance of wireless distributed detection systems: The PI studies the effects of channel estimation errors on the designs of static and sequential distributed detection systems and investigates how these errors further limit the system detection performance. (4) Cooperation in wireless distributed detection systems: For both static and sequential distributed detection systems cooperative schemes are developed, based on local information passing among neighboring nodes, and conditions under which cooperation provides gain, in terms of both detection reliability and delay, are explored and the relationships between the cooperative gain and different channel models are sought.

该研究将多元分布式检测与通信相结合，对无线传感器网络（WSNs）和认知无线电网络（CRNs）的理论与实践具有重要意义。特别是要解决以下四个问题。(1)M-ary分布式检测：PI为具有不同无线信道模型的M元分布式检测系统开发了融合规则和局部判决规则，并研究了错误信道如何从根本上限制这些系统的性能。此外，两个复合M-ary分布式检测问题，有在无线传感器网络和CRNs的应用进行了研究：联合检测和定位的多个声源和频谱感知在一个多通道系统。(2)用于无线分布式检测系统的顺序方法：为了深入理解无线网络中静态和顺序分布式检测之间的权衡，PI设计了两个顺序分布式检测系统，i）仅在传感器处进行顺序测试，ii）仅在融合中心进行顺序测试，研究了所采用的无线信道模型对静态检测系统和顺序检测系统的检测可靠性和时延的影响。(3)不完善的信道状态信息对无线分布式检测系统性能的影响：PI研究了信道估计误差对静态和顺序分布式检测系统设计的影响，并研究了这些误差如何进一步限制系统检测性能。(4)无线分布式检测系统中的合作：对于静态和顺序分布式检测系统的合作方案的开发，基于本地信息相邻节点之间的传递，并在合作提供增益的条件下，在检测可靠性和延迟方面，探索和合作增益和不同的信道模型之间的关系。