Energy-Saving Wireless Sensor Node for Relative Positioning of Densely Deployed GPS Network
Publication: Journal of Infrastructure Systems
Volume 20, Issue 2
Abstract
Localization of sensor nodes is one of the most essential tasks for sensor network applications for infrastructure monitoring. Normally, the accuracy of global positioning system (GPS) positioning installed in wireless sensor network is in the order of meters (which is insufficient for infrastructure monitoring). This paper developed a GPS wireless sensor network with a capability of onboard GPS analysis based on a relative positioning algorithm with the accuracy in the order of centimeters. However, employment of a high-performance and energy-hungry CPU is inevitable for this onboard GPS analysis method. To reduce the energy consumption, a sensor node called hybrid sensor node equipped with dual CPUs has been developed. A high-performance CPU on the hybrid sensor node is used only for onboard GPS analysis and another CPU with low energy consumption is used for other tasks such as controling of a GPS receiver and a wireless transceiver. This paper describes the design concept, the hardware, and the software of the newly developed hybrid sensor node. The overview of the sensor network system, task allocation, and the performance evaluation of the whole system work flow from the view point of energy consumption are also described in detail.
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References
Alexander, A. A., Taylor, R., Vairavanathan, V., Fu, Y., Hossain, E., and Noghanian, S. (2007). “Solar-powered ZigBee-based wireless motion surveillance: a prototype development and experimental results.” Wireless Comm. Mobile Comp., 8(10), 1255–1276.
Alippi, C., Camplani, R., Galperti, C., and Roveri, M. (2011). “A robust, adaptive, solar-powered WSN framework for aquatic environmental monitoring.” IEEE Sensors J., 11(1), 45–55.
Boushaba, M., Hafid, A., and Benslimane, A. (2009). “High accuracy localization method using AoA in sensor networks.” Comput. Netw., 53(18), 3076–3088.
Brunelli, D., Moser, C., Thiele, L., and Benini, L. (2009). “Design of a solar-harvesting circuit for batteryless embedded systems.” IEEE Trans. Circ. Syst. I Regular Papers, 56(11), 2519–2528.
Glaser, S. D., and Tolman, A. (2008). “Sense of sensing: From data to informed decisions for the built environment.” J. Infrastruct. Syst., 4–14.
Halkes, G. P., Vandam, T., and Langendoen, K. G. (2005). “Comparing energy-saving MAC protocols for wireless sensor networks.” Mobile Networks Appl., 10, 783–791.
Hande, A., Polk, T., Walker, W., and Bhatia, D. (2007). “Indoor solar energy harvesting for sensor network router nodes.” Microprocess. Microsyst., 31(6), 420–432.
Hu, W., Bulusu, N., Chou, C. T., Jha, S., Taylor, A., and Tran, V. N. (2009). “Design and evaluation of a hybrid sensor network for cane toad monitoring.” ACM Trans. Sensor Network, 5(1:4), 1–28.
Jagadeesh, G. R., Srikanthan, T., and Zhang, X. D. (1999). “A map matching method for GPS based real-time vehicle location.” J. Navigation, 57(3), 429–440.
Kan, Y.-C., Lin, H.-C, and Hong, Y.-M. (2011). “The design and implementation of the GPS anchor node for wireless sensor network.” Sensor Lett., 9(5), 1916–1920.
Kuusniemi, H., Liu, J., Pei, L., Chen, Y., Chen, L., and Chen, R. (2011). “Reliability considerations of multi-sensor multi-network pedestrian navigation.” IET Radar Sonar Navig., 6(3), 157–164.
Mathuna, C. O., O’Donnell, T., Martinez-Catala, R. V., Rohan, J., and O’Flynn, B. (2008). “Energy scavenging for long-term deployable wireless sensor networks.” Talanta, 75(3), 613–623.
Milton, R., and Steed, A. (2007). “Mapping carbon monoxide using GPS tracked sensors.” Environ. Monit. Assess, 124(1–3), 1–19.
Nadimi, E. S., Sogaard, H. T., and Bak, T. (2008). “ZigBee-based wireless sensor networks for classifying the behaviour of a herd of animals using classification trees.” Biosyst. Eng., 100(2), 167–176.
Noh, D. K., and Kang, K. (2011). “Balanced energy allocation scheme for a solar-powered sensor system and its effects on network-wide performance.” J. Comput. Syst. Sci.(5), 77, 917–932.
NXP Semiconductors N.V. (2012). “Data sheet: JN5148.” 〈http://www.jennic.com/download_file.php?brief=JN-DS-JN5148-1v8.pdf〉 (Dec. 20, 2013).
Oguni, K., Miyazaki, T., Saeki, M., and Yurimoto, N. (2011). “Wireless sensor network for post-seismic building-wise damage detection.” 20th IEEE Int. Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, 238–243.
Pakzad, S. N., Fenves, G. L., Kim, S., and Culler, D. E. (2008). “Design and implementation of scalable wireless sensor network for structural monitoring.” J. Infrastruct. Syst., 89–101.
Parker, R., and Valaee, S. (2007). “Vehicular node localization using received-signal-strength indicator.” IEEE Trans. Veh. Tech., 56(6), 3371–3380.
Saeki, M., and Oguni, K. (2012). “Multi-hop positioning relative positioning method for GPS wireless sensor network.” PECCS 2012—Int. Conf. on Pervasive and Embedded Computing and Communication Systems, 361–368.
Sathyan, T., Humphrey, D., and Hedley, M. (2011). “WASP: A system and algorithms for accurate radio localization using low-cost hardware.” IEEE Trans. Syst. Man Cybern. C Appl. Rev., 41(2), 211–222.
Tokyo Cosmos Electric. (2011). “Wireless Engine TWE-001.” 〈http://www.tocos-wireless.com/documents/jp/flyer-TWE-001(EN)_004.pdf〉 (Dec. 20, 2013).
Wei, H.-W., Peng, R., Wan, Q., Chen, Z.-X., and Ye, S.-F. (2010). “Multidimensional scaling analysis for passive moving target localization With TDOA and FDOA measurements.” IEEE Trans. Signal Process., 58(3), 1677–1688.
Zheng, L., et al. (2011). “Development of a smart mobile farming service system.” Math. Comput. Model., 54(3–4), 1194–1203.
Zhou, Z., Zhou, S., Cui, S., and Cui, J.-H. (2008). “Energy-efficient cooperative communication in a clustered wireless sensor network.” IEEE Trans. Veh. Tech., 57(6), 3618–3628.
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Published In
Journal of Infrastructure Systems
Volume 20 • Issue 2 • June 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Feb 14, 2013
Accepted: Aug 6, 2013
Published online: Aug 8, 2013
Published in print: Jun 1, 2014
Discussion open until: Jun 21, 2014
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