In this paper we design and implemented a dynamic and smart wireless mesh sensor network for aquaculture and water quality management applications. This system utilizes the Waspmote embedded systems platform developed by Libelium, mesh networking transceivers from Digi International and smart sensors from UNISM to implement a novel smart Wireless Mesh Sensor network –Aquamesh with multiple gateways of different technologies (Zigbee, GPRS and WIFI). The system is designed to continuously monitor aqua-environmental parameters and then initiate an alert or early warning to system user when certain thresholds are exceeded. The data generated from this system is stored locally on the gateway or sent to a remote web server. Data on the local database or remote web server can be accessed with smart mobile phones or personal computers. The experimental results show that the system presented in this paper is feasible to implement and present results consistent with traditional aqua-quality monitoring systems. This system will find application in the monitoring of marine and wetlands environments like fish ponds, coastal water pollution monitoring systems, effluent and sewage treatment plants, offshore oil and gas drilling facilities.
Published in | American Journal of Networks and Communications (Volume 2, Issue 3) |
DOI | 10.11648/j.ajnc.20130203.15 |
Page(s) | 81-87 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2013. Published by Science Publishing Group |
Aqua Mesh, Wireless Mesh Sensor Networks, Aquaculture, Dynamic and Smart Gateway
[1] | Marcel Busse."Algorithms for Energy Efficiency in Wireless Sensor Networks". PhD Dissertation, 2007. Accessed on 26/07/2012. Available at http://d-nb.info/987608029/34J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73. |
[2] | Holger Karl, and Andreas Willig,’’ Protocols and Architectures for Wireless Sensor Networks. John Wiley & Sons, 2005, pp.15-329. doi:10.1002/0470095121 |
[3] | Aquaculture’s growth continuing: improved management techniques can reduce environmental effects of the practice.(UPDATE)." Resource: Engineering & Technology for a Sustainable World 16.5 (2009): 20-22. Gale Expanded Academic ASAP. Web. 1 October 2009. http://find.galegroup. com/gtx/start.do?prodId=EAIM. |
[4] | Half Of Fish Consumed Globally Is Now Raised On Farms, Study Finds Science Daily, September 8, 2009. |
[5] | FAO (2006) The State of World Fisheries and Aquaculture (SOPHIA) |
[6] | Blumenthal, Les (August 2, 2010). "Company says FDA is nearing decision on genetically engineered Atlantic salmon". Washington Post. Retrieved August 2010. |
[7] | The State of World Fisheries and Aquaculture (SOFIA) 2004 |
[8] | Wired 12.05: "The Bluewater Revolution." http://www. wired.com/wired/archive /12.05/fish_pr.html. Accessed August 12th, 2010. |
[9] | Eilperin, Juliet (2005-01-24). "Fish Farming's Bounty Isn't Without Barbs". The Washington Post. |
[10] | Waspmote Technical Guide http://www.libelium.com/upl oads/2013/02/waspmote-technical_guide_eng.pdf. Accessed on 2013/03/15. |
[11] | Digi International "XBee/XBee-PRO®DigiMesh 2.4 RF Modules data sheet".http://www.digi.com/products/wir eless-wired-embedded-solutions/zigbee-rf-modules/zigbee-mesh-module/xbee-digimesh-2-4#docs. Accessed on 2013/ 03/15. |
[12] | Yaoguang Wei, Qisheng Ding, Daoliang Li, Haijiang Tai, and Jianqin Wang "Design of an Intelligent Electrical Conductivity Sensor for Aquaculture Sensor Lett. 2011, Vol. 9, No. 3 1546-198X/2011/9/1044/005 doi:10.1166 /sl.2011.1395 |
[13] | Qisheng Ding, Haijiang Tai, Daokun Ma, Daoliang Li and Linlin Zhao. "Develop ment of a Smart Dissolved Oxygen Sensor Based on IEEE1451.2" Sensor Lett. 2011, Vol. 9, No. 3 1546-198X/2011/9/1049/006 doi:10.1166/sl.2011.1397 |
[14] | Haijiang Tai, Qisheng Ding , Lihua Zeng, Shuangyin Liu , Daoliang Li An intelligent ammonia sensor based on multi-parameter for aquaculture" Sensor Lett. 2011, Vol. 9, No. 3 1546-198X/2011/9/1049/006 doi:10.1166/sl.2011.1397 |
[15] | Waspmote Prototyping Board http://www.libelium. com/uploads/2013/02/prototyping-sensor-board_2.0. Accessed on 2013/03/15. |
[16] | Akyildiz, I.F., Melodia, T., and. Chowdhury, K., A survey on wireless multimedia sensor networks. Computer Networks,vol.51, issue4: p. 921-960, 2007. |
[17] | "X-CTU Configuration & Test Utility Software". http://ftp1. digi.com/support/documentation/90001003_A.pdf. Accessed on February 2nd, 2013. |
[18] | Etherios, "Device cloud". https://my.idigi. com/home.do#. Accessed on May 2nd, 2013. |
APA Style
Adinya John Odey, Li Daoliang. (2013). AquaMesh - Design and Implementation of Smart Wireless Mesh Sensor Networks for Aquaculture. American Journal of Networks and Communications, 2(3), 81-87. https://doi.org/10.11648/j.ajnc.20130203.15
ACS Style
Adinya John Odey; Li Daoliang. AquaMesh - Design and Implementation of Smart Wireless Mesh Sensor Networks for Aquaculture. Am. J. Netw. Commun. 2013, 2(3), 81-87. doi: 10.11648/j.ajnc.20130203.15
AMA Style
Adinya John Odey, Li Daoliang. AquaMesh - Design and Implementation of Smart Wireless Mesh Sensor Networks for Aquaculture. Am J Netw Commun. 2013;2(3):81-87. doi: 10.11648/j.ajnc.20130203.15
@article{10.11648/j.ajnc.20130203.15, author = {Adinya John Odey and Li Daoliang}, title = {AquaMesh - Design and Implementation of Smart Wireless Mesh Sensor Networks for Aquaculture}, journal = {American Journal of Networks and Communications}, volume = {2}, number = {3}, pages = {81-87}, doi = {10.11648/j.ajnc.20130203.15}, url = {https://doi.org/10.11648/j.ajnc.20130203.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20130203.15}, abstract = {In this paper we design and implemented a dynamic and smart wireless mesh sensor network for aquaculture and water quality management applications. This system utilizes the Waspmote embedded systems platform developed by Libelium, mesh networking transceivers from Digi International and smart sensors from UNISM to implement a novel smart Wireless Mesh Sensor network –Aquamesh with multiple gateways of different technologies (Zigbee, GPRS and WIFI). The system is designed to continuously monitor aqua-environmental parameters and then initiate an alert or early warning to system user when certain thresholds are exceeded. The data generated from this system is stored locally on the gateway or sent to a remote web server. Data on the local database or remote web server can be accessed with smart mobile phones or personal computers. The experimental results show that the system presented in this paper is feasible to implement and present results consistent with traditional aqua-quality monitoring systems. This system will find application in the monitoring of marine and wetlands environments like fish ponds, coastal water pollution monitoring systems, effluent and sewage treatment plants, offshore oil and gas drilling facilities.}, year = {2013} }
TY - JOUR T1 - AquaMesh - Design and Implementation of Smart Wireless Mesh Sensor Networks for Aquaculture AU - Adinya John Odey AU - Li Daoliang Y1 - 2013/07/10 PY - 2013 N1 - https://doi.org/10.11648/j.ajnc.20130203.15 DO - 10.11648/j.ajnc.20130203.15 T2 - American Journal of Networks and Communications JF - American Journal of Networks and Communications JO - American Journal of Networks and Communications SP - 81 EP - 87 PB - Science Publishing Group SN - 2326-8964 UR - https://doi.org/10.11648/j.ajnc.20130203.15 AB - In this paper we design and implemented a dynamic and smart wireless mesh sensor network for aquaculture and water quality management applications. This system utilizes the Waspmote embedded systems platform developed by Libelium, mesh networking transceivers from Digi International and smart sensors from UNISM to implement a novel smart Wireless Mesh Sensor network –Aquamesh with multiple gateways of different technologies (Zigbee, GPRS and WIFI). The system is designed to continuously monitor aqua-environmental parameters and then initiate an alert or early warning to system user when certain thresholds are exceeded. The data generated from this system is stored locally on the gateway or sent to a remote web server. Data on the local database or remote web server can be accessed with smart mobile phones or personal computers. The experimental results show that the system presented in this paper is feasible to implement and present results consistent with traditional aqua-quality monitoring systems. This system will find application in the monitoring of marine and wetlands environments like fish ponds, coastal water pollution monitoring systems, effluent and sewage treatment plants, offshore oil and gas drilling facilities. VL - 2 IS - 3 ER -