A Microclimate Monitor Sensor Network with an Effective Data Aggression Algorithm

Abstract:

Wireless sensor network technology has the potential to reveal fine-grained, dynamic changes in monitored variables of outdoor landscape. But there are significant problems to be overcome in order to realize the vision in working systems, such as effective utilize of energy, prolong network life and improve sensor accuracy. This paper describes the design and evaluation of a sensor network with an effective data aggression algorithm applied in orchard microclimate monitor. A novel feature of the solution is its data compression algorithm design, in which all sensors were encoded with Morton code and a logical multi-lays cluster was constructed among the nodes. Making use of the similarity of the output of the sensors, the algorithm reduces network data amount and power cost significantly to prolong life of the network. Tests and experiments results are shown in diagrammatic form. The system was field tested over one month in Nankou farm located in Beijing province of China. The experimental results demonstrate that effective collecting of environmental information can be achieved by using our proposed system.

• Periodical: Applied Mechanics and Materials (Volumes 490-491)
• Pages: 1209-1216
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.490-491.1209
• Online since: January 2014
• Authors: Rui Rui Zhang, Shang Feng Du, Li Ping Chen, Gang Xu, Jie Kan
• Keywords: Data Compression Algorithm, Environmental Monitor, Power Save, Wireless Sensor Network (WSN)

References

[1] Zhao Chun-jiang, et al, 2003, Advance and prospects of precision agriculture technology system, Transactions of the CSAE, 19(4): 7-12.

[2] Zhang Rui-rui, Chen Li-ping, Guo Jian-hua, et al, 2008, Communication platform of wireless sensor network for farmland soil monitoring, Transaction of the CSAE, 24（Supp. 2）: 81-84.

[3] Zai Songwei, Wu Feng, Wen Ji, et al, 2009, Evaluation method of soil water distribution uniformity under conditions of field subsurface drip irrigation, Transactions of the CSAE, 25(12): 51-57.

[4] Sebastia Galmes, 2006, Lifetime Issues in Wireless Sensor Networks for Vineyard Monitoring, Mobile Ad-hoc and Sensor Systems (MASS), 2006 IEEE International Conference on Volume 2006, Issue, Oct.: 542 – 545.

DOI: 10.1109/mobhoc.2006.278605

[5] K. Mayer and K. Taylor, An Embedded Device Utilising GPRS for Communications, in International Conference On Information Technology and Applications. (2002).

[6] L. Selavo, A. Wood, Q. Cao, T. Sookoor, H. Liu, A. Srinivasan, Y. Wu, W. Kang, J. Stankovic, D. Young, and J. Porter, LUSTER: Wireless Sensor Network for Environmental Research, in Proceedings of ACM Sensys, Sydney, Australia, (2007).

DOI: 10.1145/1322263.1322274

[7] Raul Morais, Miguel A. Fernandes, Samuel G. Matos et al, 2008, A ZigBee multi-powered wireless acquisition device for remote sensing applications in precision viticulture, Computers and Electronics in Agriculture, 62(2008): 94-106.

DOI: 10.1016/j.compag.2007.12.004

[8] Raul Morais，Valente A，Serodio C. A wireless sensor network for smart irrigation and environmental monitoring[C], EFITA/WCCA Vial Real Portuagal, 2005: 845-850.

[9] HANDY MJ, HAASE M, TIMMERMANN D. Low energy adaptive clustering hierarchy with deterministic cluster-head selection[C]. Proc. of the 4th IEEE Conf. on Mobile and Wireless Communications Networks. 2002, 368-372.

DOI: 10.1109/mwcn.2002.1045790

[10] Lindsey S, Raghawendra CS. PEGASAS: Power–Efficient Gathering in Sensor Information Systems. In: Proc. of the IEEE Aerospace Conf. Montana: IEEE Aerospace and Electronic Systems Society, 2002, 1125-1130.

DOI: 10.1109/aero.2002.1035242

[11] Crossbow Technology, www. crossbow. com.

[12] FDS100 product description. Beijing Unism Inc. Available: http: / www. unism. com. cn/lcsy_pro/productCenter/UniSensor/soil/201203/t20120307_1293. htm.

[13] SHT11/71 datasheet. SENSIRION AG. http: /www. sensirion. com.

[14] Atmage128L Datasheet, Atmel Corporation, http: /www. atmel. com.

[15] CC1000 datasheet, Texas Instruments Incorporated, www. ti. com. cn.

[16] S812C datasheet. Seiko Instruments Inc. http: /www. sii-ic. com.

[17] Wei Ye, John Heidemann, Deborah Estrin. An Energy-Efficient MAC Protocol for Wireless Sensor Networks[C], INFOCOM 2002, New York, 2002: 1567-1576.

DOI: 10.1109/infcom.2002.1019408

[18] LIU Lin, YU Hai-bin, ZENG Peng, 2009, Energy-efficient algorithm for network status information collecting in wireless sensor networks, Journal of Communications, 30(6): 126-141.

[19] HEINZELMAN W, CHANDRAKASAN A, BALAKRISHNAN H. Energy-Efficient communication protocol for wireless micro sensor networks[C]. Proc. Of the 33rd Annual Hawaii Int'l Conf. on System Sciences. 2000, 3005-3014.

DOI: 10.1109/hicss.2000.926982

[20] MOTEGI S，YOSHIHARAK, HORIUCHI H．DAG based in-network aggregation for sensor network monitoring [A1．International Symposium on Applications and the Internet[C]. Phoenix，Arizona, USA, 2006. 292-299.

DOI: 10.1109/saint.2006.20

[21] SHENG Y H, TANG H, DU P J, 2000, Fast dynamic encoding of linear quadtree and its realization, Journal of Wuhan Technical University of Surveying and Mapping，25(4): 324-328.

[22] Deepak Ganesan, Razvan Cristescu, and Baltasar Beferull-Lozano, Power-efficient sensor placement and transmission structure for data gathering under distortion constraints, in Proceedings of the Third International Symposium on Information Processing in Sensor Networks. 2004, p.142.

DOI: 10.1145/984622.984643

[23] Sen Y, Qi w, Dai H．An energy eficient clustering algorithmfor surveiHance sensor networks [J]. Journal of Software， 2008，19 (9): 2432-2441.