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Abstract
Wireless sensor network (WSN) have been identified as one of the most important technology for 21st century. But the energy consumption is the major problem for the implementation of wireless sensor network now days. This paper presents the design and software based implementation of an energy aware sensor node which helps to solve above mentioned problem about WSN. The proposed design helps to construct energy efficient WSN. The strategy used in this is useful for sensor node level as well as for network level design. For energy efficient communication, distance between transmitter and receiver is estimated and then required lowest transmission power is calculated at available data rate. After that actual communication takes place. Between two consecutive measurements sensor nodes are set to sleep mode for energy saving purpose under normal operating conditions. It is observed that energy consumption within whole network under different network configurations giving better results. It can give best results by choosing most efficient from one of them is also useful.
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How to Cite
Prof. M. P. Satone, P. A. K. (2014). WSN: Energy Aware Sensor Node Design. International Journal of Emerging Trends in Science and Technology, 1(03). Retrieved from https://igmpublication.org/ijetst.in/index.php/ijetst/article/view/65
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[2] R. Gao and Z. Fan, “Architectural design of a sensory node controller for optimized energy utilization in sensor networks,†IEEE Trans. Instrum. Meas., vol. 55, no. 2, pp. 415–428, Apr. 2006.
[3] A. Tiwari, P. Ballal, and F. L. Levis, “Energy-efficient wireless sensor network design and implementation for condition-based maintenance,†ACM Trans. Sens. Netw., vol. 3, no. 1, pp. 1–23, Mar. 2007.
[4] F. Salvadori, M. Campos, P. Sausen, R. Camargo, C. Gehrke, C. Rech, M. Spohn, and A. Oliveira, “Monitoring in industrial systems using wireless sensor network with dynamic power management,†IEEE Trans. Instrum. Meas., vol. 58, no. 9, pp. 3104–3111, Sep. 2009.
[5] D. Gallo, C. Landi, and N. Pasquino, “Multisensor network for urban electromagnetic field monitoring,†IEEE Trans. Instrum. Meas., vol. 58, no. 9, pp. 3315–3322, Sep. 2009.
[6] ON World Inc., Wireless Sensor Networks: Growing Markets, Accelerating Demands, Jul. 2005. [Online]. Available: http://www.onworld.com/ html/wirelesssensorsrprt2.htm
[7] C. Alippi and C. Galperti, “An adaptive system for optimal solar energy harvesting in wireless sensor network nodes,†IEEE Trans. Circuits Syst.. I, Reg. Papers, vol. 55, no. 6, pp. 1742–1750, Jul. 2008.
[8] A. Giuseppe, C.Marco, and D. F. Mario, “Energy conservation in wireless sensor networks: A survey,†Ad Hoc Netw., vol. 7, no. 3, pp. 537–568, May 2009.
[9] C. Schurgers, V. Tsiatsis, and M. B. Srivastava, “STEM: Topology management for energy efficient sensor networks,†in Proc. IEEE Aerosp.Conf., 2002, pp. 3-1099–3-1108.
[10] V. Rajendran, K. Obraczka, and J. J. Garcia-Luna-Aceves, “Energyefficient, collision-free medium access control for wireless sensor networks,†Wireless Netw., vol. 12, no. 1, pp. 63–78, Feb. 2006.
[11] A. Kadrolkar, R. Gao, and R. Yan, “Energy efficient data transmission for manufacturing system health monitoring,†in Proc. 9th Int. Conf. FrontiersDes. Manuf., Changsha, China, Jul. 2010, pp. 65–70.
[12] A. Kadrolkar, R. Gao, and R. Yan, “Energy efficient data transmission for manufacturing system health monitoring,†in Proc. 9th Int. Conf. FrontiersDes. Manuf., Changsha, China, Jul. 2010, pp. 65–70.
[13] R. Yan, D. Ball, A. Deshmukh, and R. Gao, “A Bayesian network approach to energy-aware distributed sensing,†in Proc. IEEE Sens. Conf., Vienna, Austria, Oct. 2004, pp. 44–47.
[14] C. Alippi, G. Anastasi, M. D. Francesco, and M. Roveri, “An adaptive sampling algorithm for effective energy management in wireless sensor networks with energy-hungry sensors,†IEEE Trans. Instrum. Meas., vol. 59, no. 2, pp. 335–344, Feb. 2010.
[15] V. Raghunathan, C. Schurgers, and S. Park, “Energy-aware wireless microsensor networks,†IEEE Signal Process. Mag., vol. 19, no. 2, pp. 40–50, Mar. 2002.
[16] C. Schurgers, V. Raghunathan, and M. Srivastava, “Power management for energy-aware communication systems,†ACM Trans. Embedded Comput. Syst., vol. 2, no. 3, pp. 431–447, Aug. 2003.
[17] E. Biyikoglu, B. Prabhakar, and A. Gamal, “Energy efficient packet transmission over a wireless link,†IEEE/ACM Trans. Netw., vol. 10, no. 4, pp. 487–499, Aug. 2002.
[18] R. Gao, A. Deshmukh, R. Yan, and Z. Fan, “Energy efficient wireless sensor network for dynamic system monitoring,†in Proc. SPIE, 2005, vol. 5999, no. 4, pp. 1–10.
[19] D. Ball, R. Yan, T. Licht, A. Deshmukh, and R. Gao, “A strategy for decomposing large-scale energy-constrained sensor networks for system monitoring,†Product. Plann. Control, vol. 19, no. 4, pp. 435–447, 2008.
[20] A. Wang, W. Heinzelman, A. Sinha, and A. Chandrakasan, “Energy scalable protocols for battery-operated microsensor networks,†J. VLSI Signal Process. Syst. Signal Image Video Technol., vol. 29, no. 3, pp. 223– 237, Nov. 2001.
[21] C. Sha, R. Wang, H. Huang, and L. Sun, “An energy-saving strategy based on sleep scheduling and block transmission for wireless multimedia sensor networks,†Int. J. Pervas. Comput. Commun., vol. 6, no. 2, pp. 248– 267, 2010.
[23] A. Wang and A. Chandrakasan, “Energy-efficient DSPs for wireless sensor networks,†IEEE Signal Process. Mag., vol. 19, no. 4, pp. 68–78, Jul. 2002.
[24] A. Chehri, P. Fortier, and M. Tardif, “UWB-based sensor networks for localization in mining environments,†Ad Hoc Netw., vol. 7, no. 5, pp. 987–1000, Jul. 2009.
[25] G. Nan, G. Shi, Z. Mao, and M. Li, “CDSWS: Coverage-guaranteed distributed sleep/wake scheduling for wireless sensor networks,†EURASIP J. Wireless Commun. Netw., vol. 44, pp. 762–776, Feb. 2012.
[26] R. Yan, H. Sun, and Y. Qian, “Energy-aware sensor node design with its application in wireless sensor networks,†IEEE transactions on instrumentation and measurement, vol. 62, no. 5, may 2013.