Duty-Cycle Impact at Lifetime of Wireless Sensor Networks
International Journal of Engineering Trends and Technology (IJETT) | |
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© 2018 by IJETT Journal | ||
Volume-55 Number-3 |
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Year of Publication : 2018 | ||
Authors : Irfan Shaqiri |
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DOI : 10.14445/22315381/IJETT-V55P227 |
Citation
Irfan Shaqiri "Duty-Cycle Impact at Lifetime of Wireless Sensor Networks", International Journal of Engineering Trends and Technology (IJETT), V55(3),148-153 January 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
in this paper we give some aspects of duty cycle technique, which can improve the efficiency and scalability of wireless sensor networks. The Wireless Sensor Network (WSN) is a network consisting of ten to thousand small nodes with sensing, computing and wireless communication capabilities. WSNs are generally used to monitor activities and report events, such as pollution parameters, healthcare issues,fire info etc. in a specific area or environment. It routs data back to the Base Station (BS). Data transmission is usually a multi-hop from node to node towards the BS. This type of networksis limited in power, computational and communication bandwidth. The main goal of all researchers is to find out the energy efficient method, which will improve considerably networks resources in term of prolonging lifetime of sensor nodes. In this paper, the lifetime of the node based on overall energy consumption is estimated and the effect of duty cycle on expected energy consumption is studied.Duty cycle is one of the used method, which plays an important role for saving energy in WSNs
Reference
[1] Francesco Zorzi, Milica Stojanovic and Michele Zorzi, „On the Effects of Node Density and Duty Cycle on Energy Efficiency in Underwater Networks?, Conference Europe, 2010
[2] Lin, J.; Liu, Y.; Ni, L.M. SIDA: Self-organized ID Assignment in Wireless Sensor Networks. In Proceedings of the 4th IEEE International Conference on Mobile Ad-hoc and Sensor Systems Conference (MASS), Pisa, Italy, October, 2007.
[3] Tokuya Inagaki and Susumu Ishihara, “HGAF: A power saving scheme for wireless sensor network”, Journal of Information Processing, vol. 17, pp. 255-266, Oct. 2009.
[4] Joseph Polastre, Jason Hill, David Culler, „Versatile Low Power Media Access for Wireless Sensor Networks?, November 3–5, 2004.
[5] Honghai Zhang and Jennifer C. Hou, Maximizing
Keywords
Base Station,Protocol, Sensor, Node.