Development of environmental monitoring system with wireless sensor networks

MODSIM 2011 - 19th International Congress on Modelling and Simulation - Sustaining Our Future: Understanding and Living with Uncertainty

Volumn , Issue , 2011, Pages 1125-1131

  Ghobakhlou, A ^a   Zandi, S ^a   Sallis, P ^a  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

Author keywords

Environmental monitoring; Modular sensor node; Vineyard monitoring; Wireless Sensor Networks (WSN)

Indexed keywords

ASSOCIATED SOFTWARES; DISTRIBUTED INTELLIGENCE; DOWN TIME; DYNAMIC WEB APPLICATIONS; END USERS; ENVIRONMENT SENSING; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL DATA; ENVIRONMENTAL MONITORING; ENVIRONMENTAL MONITORING SYSTEM; FIELD DATA; HARDWARE AND SOFTWARE; IN-FIELD; INTERNET BROWSERS; LOW COSTS; LOW POWER; MAKING DECISION; MODULAR ARCHITECTURES; MODULAR SENSOR NODE; MONITORING AND MANAGEMENT; MONITORING AND TRACKING; MONITORING STATIONS; MULTIFUNCTIONAL SENSOR NODES; PRECISION FARMING; REAL TIME SENSORS; REAL TIME STREAMING; REAL-TIME INFORMATION; REMOTE LOCATION; SENSOR DATA; SOFTWARE UPGRADES; SOIL PARAMETERS; SOLID BASE; TERRAIN CONDITIONS; WIRELESS SENSOR; WIRELESS SENSOR NETWORK (WSN); WIRELESS SENSOR NETWORKS (WSN); WIRELESS SENSOR TECHNOLOGY; WIRELESS TECHNOLOGIES;

AGRICULTURE; COMPUTER SOFTWARE REUSABILITY; DATA PROCESSING; DATABASE SYSTEMS; ENVIRONMENTAL ENGINEERING; ENVIRONMENTAL MANAGEMENT SYSTEMS; FIRMWARE; MONITORING; REUSABILITY; SENSORS; VISUALIZATION; WIRELESS TELECOMMUNICATION SYSTEMS;

SENSOR NODES;

EID: 84858825928     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Camilli, A., Cugnasca, C.E., A. Saraiva, M, Hira-kawa, A.R. and Corrêa, P. L. (2007). From wireless sensors to field mapping Anatomy of an application for precision agriculture. Computers and Electronics in Agri-culture, 58(1),pp 25-36.
2. Cao, X., Chen, J., Zhang Y. and Sun,Y. (2008). Development of an integrated wireless sensor network micro-environmental monitoring system. ISA Transactions, 47(3), pp247-255.
3. Deborah, E., Ramesh,G., John, H. and Satish, K.(1999) . Next century challenges: scalable coordination in sensor networks. In Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking Seattle, Washington, United States: ACM Press, pp. 263-270.
4. Egan, D. (2005). The emergence of ZigBee in building automation and industrial control. Computing & Control Engineering, 16(2), pp. 14-19.
5. Garcia, R.R. (2006). Understanding the Zigbee stack , Freescale Semiconductor Inc., pp. 1-2.
6. Ghobakhlou, A., Perera, A., Sallis, P. and Zandi, S. (2010), Modular sensor nodes for environmental data monitoring. Proceedings of the Fourth International Conference on Sensing Technology, University of Salento, Lecce, Italy June 3 - 5, 2010, pp 372-377 ISBN 978-0-473-16942-8
7. Ghobakhlou, A., Shanmuganthan, S. and Sallis, P. (2009). Wireless sensor networks for climate data management systems. In B. Anderssen et al. (eds) 18th IMACS World Congress - MODSIM09 International Congress on Modelling and Simulation, Australia, pp. 959-965.
8. Hirafuji, M., Kubota, T. ( 1994). Chaos of Plant Growth under Changing Environment. Environ. Control Biol. 32 (1), 31-39.
9. Jose D. and Gutierrez A. (2005). IEE Std. 820.15.4 Enabling Pervasive Wireless Sensor Networks. Innovation Centre, pp.2-54.
10. Laurenson, M.R., Kiura, T., Ninomiya, S. (2002). Providing agricultural models with mediated access to heterogeneous weather databases. Appl. Eng. Agric. 18, 617-625.
11. Lee, W.S. , Alchanatis, V. , Yang, C. , Hirafuji, M. and Moshou, D. , Li, C. (2010). Sensing technologies for precision specialty crop production. Computers and Electronics in Agriculture, Vol. 74, No. 1. pp. 2-33.
12. Portilla, J., De Castro, A., De La Torre, E. and Riesgo, T. (2006). A Modular Architecture for Nodes in Wireless Sensor Networks, Universal Computer Science (j-jucs), 12(3), pp 328-339.
13. Sallis, P., Shanmuganathan, S., Pavesi, L. and Jarur, M. (2008), A system architecture for collaborative environmental modelling research. in Waleed W. Samari and William McQuay (eds), International Symposium on Collaborative Technologies and Systems (CTS), IEEE, California, pp 39-47.
14. Sallis, P., Jarur, M., Trujillo, M., and Ghobakhlou, A. (2009). Frost prediction using a combinational model of supervised and unsupervised neural networks for crop management in vineyards. In B. Anderssen et al. (eds) /18th IMACS World Congress - MODSIM09 International Congress on Modelling and Simulation/, 13-17 July 2009, Cairns, Australia. ISBN: 978-0-9758400-7-8. pp. 789-795.
15. Srivastava, N. (2010). Challenges of next-generation wireless. Journal of Telecommunications, 1 (1).
16. Sohraby, K., Minoli, D. and Znati, T. (2007). "Wireless Sensor Networks: Technology, Protocols, and Applications". Wiley-Interscience
17. Suri, A., Iyengar, S. and Cho, E. (2006). Ecoinformatics using wireless sensor networks: An Overview. Ecological Informatics, 1(3), pp 287-293.
18. Wheeler, A. ZigBee Wireless Networks for Industrial Systems - White Paper, http://www.microcontroller.com/Embedded.asp?did=149,visitedon 10/07/2011.
19. Yick, J., Mukherjee, B. and Ghosal, D. (2008). , Wireless Sensor Network Survey. Science Direct Computer Networks, Vol. 52, Issue 12, pp.2292-2330.