Real Time Universal Scalable Wireless Sensor Network for Environmental Monitoring Application

Full Text (PDF, 958KB), PP.68-75

Views: 0 Downloads: 0

Author(s)

Idakwo Monday Abutu 1,* Umoh J. Imeh 1 Tekanyi M.S Abdoulie 2 Adedokun E. Adewale 1 Muazu M. Bashir 1

1. Computer and Control Engineering/Ahmadu Bello University, Zaria, Nigeria

2. Communication Engineering/Ahmadu Bello University Zaria, Nigeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2018.06.07

Received: 19 Mar. 2018 / Revised: 25 Mar. 2018 / Accepted: 19 Apr. 2018 / Published: 8 Jun. 2018

Index Terms

Auto Detection, Auto Configuration Base Station, Calibration, Real Time, Sensor Node, Wireless Sensor Network

Abstract

There are several wireless sensor network use for environmental monitoring applications. However, most wireless sensor network designed for real time environmental monitoring application are application specific and static in nature. Hence, the need for reprogramming of base station for every change in sensor type or the introduction of new sensor node into the network. More so, since these sensors nodes are deploy by end users in a random region of interest, it is necessary to develop a new plug and play mechanisms with more software modules and more user-friendly interface that is scalable to ease larger area deployment, installation and maintenance. Hence, this paper developed a base station with an auto detection and configuration system for detecting new sensor node, faulty nodes, and update user in real time. The developed system is implemented on a mesh topology network and was calibrated using standard Davis vantage pro2 weather station in Ahmadu Bello University Liquefied Natural Gas Environmental Laboratory and a mean error of 0.12 and root mean square error of 0.14 were obtained.

Cite This Paper

Idakwo Monday Abutu, Umoh J. Imeh, Tekanyi M.S Abdoulie, Adedokun E. Adewale, Muazu M. Bashir, "Real Time Universal Scalable Wireless Sensor Network for Environmental Monitoring Application", International Journal of Computer Network and Information Security(IJCNIS), Vol.10, No.6, pp.68-75, 2018. DOI:10.5815/ijcnis.2018.06.07

Reference

[1]Jasvir Kaur, Sukhchandan Randhawa, Sushma Jain," A novel Energy Efficient Cluster Head Selection Method for Wireless Sensor Networks", International Journal of Wireless and Microwave Technologies (IJWMT), Vol.8, No.2, pp. 37-51, 2018.DOI: 10.5815/ijwmt.2018.02.04.
[2]Ramesh, M.V. (2012). Real-time wireless sensor network for landslide detection. Sensor Technologies and Applications,3(1), 405-409.
[3]Man, K.L.; Hughes, D.; Guan, S.U.; and Wong, P.W. (2016). Middleware Support for Dynamic Sensing Applications. Platform Technology and Service (PlatCon), 2016 International Conference, 1-4.
[4]Mikhaylov, K.; Pet?j?j?rvi, J.; M?kel?inen, M.; Paatelma, A.; and H?nninen, T.(2015). Extensible modular wireless sensor and actuator network and IoT platform with Plug & Play module connection. Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 386-387.
[5]Kaur, G., & Garg, R.M. (2012). Energy efficient topologies for wireless sensor networks. International Journal of Distributed and Parallel Systems, 3(5), 179.
[6]Man, K.L.; Hughes, D.; Guan, S.U.; and Wong, P. W. (2016). Middleware Support for Dynamic Sensing Applications. Platform Technology and Service (PlatCon), 2016 International Conference, 1-4.
[7]Oliveira L.M.; and Rodrigues, J.J. (2011).Wireless Sensor Networks: A Survey on Environmental Monitoring,” Journal of Communication, 6(2), 143-151.
[8]Ferdoush, S. and Li, X. (2014). Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications. Procedia Computer Science, 34, 103-110.
[9]Mohsen Salehi, Jamal Karimian," A Trust-based Security Approach in Hierarchical Wireless Sensor Networks", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.7, No.6, pp. 58-67, 2017.DOI: 10.5815/ijwmt.2017.06.06
[10]Lee, H.C.; Banerjee, A.; Fang, Y.M.; Lee, B.J.; and King, C.T.(2010). Design of a multifunctional wireless sensor for in-situ monitoring of debris flows. IEEE Transactions on Instrumentation and Measurement, 59(11), 2958-2967.
[11]Araujo, A.; García-Palacios, J.; Blesa, J.; Tirado, F.; Romero, E.;.Samartín, A.; and Nieto-Taladriz, O.(2012). Wireless measurement system for structural health monitoring with high time-synchronization accuracy,” IEEE Transactions on Instrumentation and Measurement, 61(3), 801-810.
[12]Idakwo M.A.; Umoh I.J.; and Man-Yahaya S. (2017). Real Time Wireless Sensor Network for Environmental Data Prediction and Monitoring. International Journal of Scientific & Engineering Research, 8(1), 2229-5518.
[13]Raghavan V.; and Shahnasser, H. (2015). Embedded Wireless Sensor Network for Environment Monitoring. Journal of Advances in Computer Networks, 3(1)
[14]Ye, D.; Gong, D.; and Wang, W. (2009). Application of wireless sensor networks in environmental monitoring. Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference, 1, 205-208.
[15]Mesas-Carrascosa, F.; Santano, D.V.; Merono, J.; Orden, M.S.; and García-Ferrer, A. (2015). Open source hardware to monitor environmental parameters in precision agriculture. Biosystems Engineering, 137, 73-83.
[16]Singh R.; and Singh, S. (2015). Development of a Low Cost Wireless Temperature Monitoring System for Industrial & Research Application. International Journal of Current Engineering Technology, 5, 355-361.
[17]Yao-lin, Z.; Gao-qiang, Z.; Lei, Z., and Jin, X. (2011). Design of wireless multi-point temperature transmission system based on nRF24L01. Business Management and Electronic Information, 3, 780-783.
[18]Instruments, D. (2014). Wireless Vantage Pro & Vantage Pro Plus Stations. Specification sheet for Wireless Vantage Pro2? Plus with.
[19]Esau, I.; Zilitinkevich, S.; Djolov, G.; and Rautenbach, C. (2011). A micro-meteorological experiment in the atmospheric boundary layer in Highveld region. IOP Conference Series: Earth and Environmental Science, 13(1), 01.
[20]Majid, A.;. Chen, L.; Chen, G.; Mirza, H.T.; and Hussain, I. (2012). GoThere: travel suggestions using geotagged photos. Proceedings of the 21st International Conference on World Wide Web, 577-578.
[21]Oliveira, L. M., & Rodrigues, J. J. (2011). Wireless sensor networks: a survey on environmental monitoring. Journal of communications, 6(2), 143-151
[22]Solak, S., & Bolat, E. D. (2013, November). Real time industrial application of single board computer based color detection system. In Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on (pp. 353-357). IEEE
[23]ünsal, E., Milli, M., & ?EB?, Y. (2016). Low Cost Wireless Sensor Networks for Environment
Monitoring. The Online Journal of Science and Technology-April, 6(2)
[24]Singh, A., & Snigdh, I. (2017). Modelling failure conditions in zigbee based wireless sensor networks. International Journal of Wireless and Microwave Technologies (IJWMT), 2, 25-34.
[25]Palani, S. (2017). Providing useful data reliably to mobile cloud users from random wireless sensor network. International Journal of Wireless and Microwave Technologies (IJWMT), 1, 49-62.
[26]Saha, T., Jewel, M. K. H., Mostakim, M. N., Bhuiyan, N. H., Ali, M. S., Rahman, M. K., & Hossain, M. K. (2017). Construction and Development of an Automated Greenhouse System Using Arduino Uno. International Journal of Information Engineering and Electronic Business, 9(3), 1.