Wireless Sensor Network-based Air Quality Monitoring System

被引:0
|
作者
Mansour, Samer [1 ]
Nasser, Nidal [1 ]
Karim, Lutful [2 ]
Ali, Asmaa [3 ]
机构
[1] Alfaisal Univ, Coll Engn, Elect & Software Engn Dept, Riyadh, Saudi Arabia
[2] Seneca Coll Appl Arts & Technol, Sch ICT, King City, ON, Canada
[3] Univ Guelph, Sch Engn, Guelph, ON N1G 2W1, Canada
关键词
Wireless Sensor Network; Air Quaity Monitoring Systems (AQMS); Gas Sensing Capable Motes; LEACH; NO2; CO; Ozone;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a simple Wireless Sensor Network (WSN)-based air quality monitoring system (WSN-AQMS) for industrial and urban areas. The proposed framework comprises a set of gas sensors (ozone, CO, and NO2) that are deployed on stacks and infrastructure of a Zigbee WSN and a central server to support both short-term real-time incident management and a long-term strategic planning. This architecture would use open-hardware open-software gas sensing capable motes [6] made by Libelium. These motes use the ZigBee communication protocol and provide a real-time low cost monitoring system through the use of low cost, low data rate, and low power wireless communication technology. The proposed monitoring system can be transferred to or shared by other applications. We also introduce a simple but efficient clustering protocol dubbed hereafter "Clustering Protocol for Air Sensor network" (CPAS) for the proposed WSN-AQMS framework. CPAS proves to be efficient in terms of network energy consumption, network lifetime, and the rate at which data is communicated.
引用
收藏
页码:545 / 550
页数:6
相关论文
共 50 条
  • [1] Wireless Sensor Network-based Water Quality Monitoring System
    Tuna, Gurkan
    Nefzi, Bilel
    Arkoc, Orhan
    Potirakis, Stelios M.
    [J]. MATERIALS AND APPLICATIONS FOR SENSORS AND TRANSDUCERS III, 2014, 605 : 47 - 50
  • [2] An Efficient Wireless Sensor Network-based Water Quality Monitoring System
    Nasser, Nidal
    Ali, Asmaa
    Karim, Lutful
    Belhaouari, Samir
    [J]. 2013 ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2013,
  • [3] URBAN AMBIENT AIR QUALITY MONITORING SYSTEM BASED ON WIRELESS SENSOR NETWORK
    Zheng, Hao
    Xue, Huifeng
    Liu, Qilong
    Zhang, Feng
    [J]. JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY, 2020, 21 (06): : 2363 - 2372
  • [4] Design of indoor air quality monitoring system based on wireless sensor network
    Luo, Huirong
    Wang, Li
    Wu, Xiangcheng
    [J]. 2018 INTERNATIONAL CONFERENCE ON AIR POLLUTION AND ENVIRONMENTAL ENGINEERING (APEE 2018), 2018, 208
  • [5] Design of Outdoor Air Quality Monitoring System Based on ZigBee Wireless Sensor Network
    He, Yun-Liang
    Geng, Shu-Qin
    Peng, Xiao-Hong
    Hou, Li-Gang
    Gao, Xiang-Kai
    Wang, Jin-Hui
    [J]. 2016 13TH IEEE INTERNATIONAL CONFERENCE ON SOLID-STATE AND INTEGRATED CIRCUIT TECHNOLOGY (ICSICT), 2016, : 368 - 370
  • [6] A wireless sensor network-based monitoring system for freshwater fishpond aquaculture
    Shi, Bing
    Sreeram, Victor
    Zhao, Dean
    Duan, Suolin
    Jiang, Jianming
    [J]. BIOSYSTEMS ENGINEERING, 2018, 172 : 57 - 66
  • [7] WiSPH: A Wireless Sensor Network-Based Home Care Monitoring System
    Magana-Espinoza, Pedro
    Aquino-Santos, Raul
    Cardenas-Benitez, Nestor
    Aguilar-Velasco, Jose
    Buenrostro-Segura, Cesar
    Edwards-Block, Arthur
    Medina-Cass, Aldo
    [J]. SENSORS, 2014, 14 (04) : 7096 - 7119
  • [8] Design of Air Quality Monitoring System Based on Wireless Sensor
    Zhang, Yamei
    [J]. 2019 2ND INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC AND ENGINEERING TECHNOLOGY (MEET 2019), 2019, : 297 - 301
  • [9] Real Time Wireless Sensor Network (WSN) based Indoor Air Quality Monitoring System
    Salman, N.
    Kemp, Andrew H.
    Khan, A.
    Noakes, C. J.
    [J]. IFAC PAPERSONLINE, 2019, 52 (24): : 324 - 327
  • [10] Development of a Sensor Network-Based SMPS System: A Smart LED Monitoring Application Based on Wireless Sensor Network
    Kim, Yoon Sang
    Ko, Junho
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2014,