An Efficient Wireless Sensor Network Based on the ESP-MESH Protocol for Indoor and Outdoor Air Quality Monitoring

被引:16
|
作者
Khan, Anwar Ulla [1 ]
Khan, Mohammad Ehtisham [2 ]
Hasan, Mashhood [1 ]
Zakri, Waleed [3 ]
Alhazmi, Waleed [3 ]
Islam, Tarikul [4 ]
机构
[1] Jazan Univ, Dept Elect Engn Technol, CAIT, Jazan 45142, Saudi Arabia
[2] Jazan Univ, Dept Chem Engn Technol, CAIT, Jazan 45142, Saudi Arabia
[3] Jazan Univ, Dept Mech Engn Technol, Jazan 45142, Saudi Arabia
[4] Jamia Millia Islamia, Dept Elect Engn, New Delhi 110025, India
关键词
air quality; ESP-MESH; humidity; PM2; 5; sensor nodes; temperature; SYSTEM;
D O I
10.3390/su142416630
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The main aim of this work is to establish a sensor MESH network using an ESP-MESH networking protocol with the ESP32 MCU (a Wi-Fi-enabled microcontroller) for indoor and outdoor air quality monitoring in real time. Each sensor node is deployed at a different location on the college campus and includes sensor arrays (CO2, CO, and air quality) interfaced with the ESP32. The ESP-MESH networking protocol is a low-cost, easy-to-implement, medium-range, and low-power option. ESP32 microcontrollers are inexpensive and are used to establish the ESP-MESH network that allows numerous sensor nodes spread over a large physical area to be interconnected under the same wireless network to monitor air quality parameters accurately. The data of different air quality parameters (temperature, humidity, PM2.5, gas concentrations, etc.) is taken (every 2 min) from the indoor and outdoor nodes and continuously monitored for 72 min. A custom time-division multiple-access (TDMA) scheduling scheme for energy efficiency is applied to construct an appropriate transmission schedule that reduces the end-to-end transmission time from the sensor nodes to the router. The performance of the MESH network is estimated in terms of the package loss rate (PLR), package fault rate (PFR), and rate of packet delivery (RPD). The value of the RPD is more than 97%, and the value of the PMR and PER for each active node is less than 1.8%, which is under the limit. The results show that the ESP-MESH network protocol offers a considerably good quality of service, mainly for medium-area networks.
引用
收藏
页数:21
相关论文
共 50 条
  • [31] A Network Model of GUI-Based Implementation of Sensor Node for Indoor Air Quality Monitoring
    Girish, Siva V.
    Prakash, R.
    Swetha, S. N. H.
    Pareek, Gargi
    Kumar, T. Senthil
    Ganesh, A. Balaji
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING SYSTEMS, ICSCS 2015, VOL 1, 2016, 397 : 209 - 217
  • [32] Multi-protocol Wireless Mesh Sensor Network
    Wei, Woon Jun
    Jovian, Low Hong Sheng
    How, Benjamin Loh Choon
    Richie, Wang Rongqi
    Yuan, Poon Xiang
    Abhishek, Nalam Venkata
    Bin Abast, Muhamed Fauzi
    2024 IEEE VTS ASIA PACIFIC WIRELESS COMMUNICATIONS SYMPOSIUM, APWCS 2024, 2024,
  • [33] PATIENT MONITORING SYSYTEM USING WIRELESS SENSOR BASED MESH NETWORK
    Vijayalakshmi, B.
    Kumar, C. Ram
    2012 THIRD INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION & NETWORKING TECHNOLOGIES (ICCCNT), 2012,
  • [34] MUETSenses: A Wireless Sensor Network Based Indoor Environment Monitoring System
    Baloch, J. A.
    Ahmed, S.
    Shigrii, S.
    Bhatti, J. R.
    2015 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), 2015,
  • [35] Wireless Sensor Network Indoor Environment Monitoring System Based on LabVIEW
    Wang, Xi
    Lu, Xiao
    Wang, Haixia
    INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4, 2013, 241-244 : 948 - 951
  • [36] Wireless Sensor Network Based Outdoor and Indoor Positioning System (WOIPS) Featured with IoT
    Alnahari, Abdulqudos Y.
    Ahmad, Noor Azurati
    Yusof, Yusnaidi
    PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON IMAGING, SIGNAL PROCESSING AND COMMUNICATION, 2015, : 153 - 157
  • [37] Wireless Sensor Network Combined with Cloud Computing for Air Quality Monitoring
    Arroyo, Patricia
    Luis Herrero, Jose
    Ignacio Suarez, Jose
    Lozano, Jesus
    SENSORS, 2019, 19 (03):
  • [38] Sensor-based Wireless Air Quality Monitoring Network (SWAQMN) - A smart tool for urban air quality management
    Gulia, Sunil
    Prasad, Poonam
    Goyal, S. K.
    Kumar, Rakesh
    ATMOSPHERIC POLLUTION RESEARCH, 2020, 11 (09) : 1588 - 1597
  • [39] Mobile Wireless System for Outdoor Air Quality Monitoring
    Koval, Anton
    Irigoyen, Eloy
    INTERNATIONAL JOINT CONFERENCE SOCO'16- CISIS'16-ICEUTE'16, 2017, 527 : 345 - 354
  • [40] IOT Based Wireless Sensor Network for Air Pollution Monitoring
    Chaturvedi, Ajay
    Shrivastava, Laxmi
    2020 IEEE 9TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT 2020), 2020, : 78 - 81