Wireless Communication Project Proposal

本文探讨了无线传感器网络(WSN)在多个领域的应用,包括环境监测、智能电网的支持等,并提出了分布式检测与估计的研究方向。文章还概述了几篇关键文献,涵盖了从网络监测到能量预测等方面的内容。

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Research people 

Yuxiang Zhou(13010199035)



Title

Distributed detection and estimationin wireless sensor networks

Background

Wireless sensor networks (WSN) are receiving a lot of attention from both the theoretical and application sides, in view of the many applications spanning from environmental monitoring, as a tool to control physical parameters such as temperature, vibration, pressure, or pollutant concentration, to the monitoring of civil infrastructures, such as roads, bridges, buildings, etc. [1]. Some new areas of applications are emerging rapidly and have great potentials. A field that is gaining more and more interest is the use of WSN’s as a support for smart grids. In such a case, a WSN is useful to: i) monitor and predict energy production from renewable sources of energy such as wind or solar energy, ii) monitor energy consumption; iii) detect anomalies in the network. 

Plan

My research of problem in ride sharing is based on the paper list in below:

[1] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci “Wireless sensor networks: a survey,” Computer Networks, pp.393-422, 2002.

[2] A. Nedi´c, Asuman Ozdaglar, “Cooperative distributed multi-agent optimization,”, in D.P.Palomar, Y.C.Eldar, ConvexOptimization in Signal Processing and Communications, Cambridge Univ. Press, 2010.

[3] A. Tahbaz Salehi and A. Jadbabaie, “Consensus over ergodic stationary graph processes,” IEEE Transactions on AutomaticControl, vol. 55, no. 1, Jan. 2010.

[4] A. Giridhar and P. R. Kumar, “Computing and Communicating Functions Over Sensor Networks,” IEEE J. on SelectedAreas in Commun. pp. 755–764, April 2005.

[5] A. Giridhar and P. R. Kumar, “Toward a Theory of In-Network Computation in Wireless Sensor Networks,” IEEE Commun.Mag., pp. 98–107, April 2006.


内容概要:该研究通过在黑龙江省某示范村进行24小时实地测试,比较了燃煤炉具与自动/手动进料生物质炉具的污染物排放特征。结果显示,生物质炉具相比燃煤炉具显著降低了PM2.5、CO和SO2的排放(自动进料分别降低41.2%、54.3%、40.0%;手动进料降低35.3%、22.1%、20.0%),但NOx排放未降低甚至有所增加。研究还发现,经济性和便利性是影响生物质炉具推广的重要因素。该研究不仅提供了实际排放数据支持,还通过Python代码详细复现了排放特征比较、减排效果计算和结果可视化,进一步探讨了燃料性质、动态排放特征、碳平衡计算以及政策建议。 适合人群:从事环境科学研究的学者、政府环保部门工作人员、能源政策制定者、关注农村能源转型的社会人士。 使用场景及目标:①评估生物质炉具在农村地区的推广潜力;②为政策制定者提供科学依据,优化补贴政策;③帮助研究人员深入了解生物质炉具的排放特征和技术改进方向;④为企业研发更高效的生物质炉具提供参考。 其他说明:该研究通过大量数据分析和模拟,揭示了生物质炉具在实际应用中的优点和挑战,特别是NOx排放增加的问题。研究还提出了多项具体的技术改进方向和政策建议,如优化进料方式、提高热效率、建设本地颗粒厂等,为生物质炉具的广泛推广提供了可行路径。此外,研究还开发了一个智能政策建议生成系统,可以根据不同地区的特征定制化生成政策建议,为农村能源转型提供了有力支持。
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