9 January 2008 A novel energy estimation method in wireless sensor networks
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Proceedings Volume 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials; 67940P (2008) https://doi.org/10.1117/12.784387
Event: ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 2007, Gifu, Japan
Abstract
In recent years, wireless sensor networks (WSN) have attracted a great deal of attention in the research community. This is due to the applications that will be enabled once wireless sensor networks are in place. Wireless sensor networks are emerging as a promising solution for various types of futuristic applications both for military and public. Security in wireless sensor networks is very crucial as these networks are expected mainly to operate in the hazardous and hostile environments. Efficient key management could guarantee authenticity and confidentiality of the data exchanged among the nodes in the network. Depending on the application requirements, the WSN may operate in star topology, in which the communication is established between sensors (i.e. nodes or devices) and a single central controller, called the WSN coordinator. In order to make the power consumed as efficiently as possible, a typical WSN architecture is first described and then energy strategies and model are specified on account of the hardware constraints of the sensors in the paper. Furthermore, energy estimating method is formulated and deduced. At last, computer simulation based on the above architecture and model gives the analysis illustrations and the results. Experiments and simulation show how energy savings of 50% can be achieved and can delay the deadline of the WSN system. This energy model can also be used for power management in any system characterized by different levels of power consumption in various stages of shutdown.
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Yan-qiu Yang, Yan-qiu Yang, Jian-yong Li, Jian-yong Li, Jin-rong Zhong, Jin-rong Zhong, Chang-xiu Cao, Chang-xiu Cao, } "A novel energy estimation method in wireless sensor networks", Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67940P (9 January 2008); doi: 10.1117/12.784387; https://doi.org/10.1117/12.784387
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