Research in Automobile Exhaust Gas of Sulfur Dioxide and Nitrogen Dioxide Monitoring WSN and Optimization Coverage Algorithm

摘要：

　　For help solving the air pollution problem caused by the mass increasing of Sulfur Dioxide And Nitrogen Dioxide automobile exhaust gas,we have designed a Zigbee wireless monitoring network to monitor the Sulfur Dioxide And Nitrogen Dioxide in automobile exhaust gas,and build this monitoring system in hardware and software.Also,we use a Artificial Fish Swarm Algorithm to optimize the network covering area.According to a simulation result,the network coverage could be increased to more than 95%,and it makes the network nodes more efficient,reduced the redundancy nodes,lower the system energy consumption,to meet the design qualification.

关键词： component automobile exhaust gas wireless sensor network coverage Artificial Fish Swarm Algorithm

作者: Zhou Yushan Zhang Yiwei Chu Linlin Liu Congning Shi Yunbo

作者单位: The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentation of Heilongjiang Province Institute of Measurement-Control Technology & Communications Engineering, Harbin University of Science and Technology, Harbin, China

会议类型: 国际会议

会议名称: 2015 Fifth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2015)(第五届仪器测量、计算机通信与控制国际会议)

会议地点: 秦皇岛

会议语种:英文

页码: 1202-1205

在线出版日期: 2015-09-18（万方平台首次上网日期，不代表论文的发表时间）