A query adaptive fuzzy based dynamic sampling algorithm to manage power consumption in wireless sensor networks
Publication Type:Journal Article
Source:International Journal of Applied Engineering Research, Research India Publications, Volume 9, Number 18, p.4283-4296 (2014)
<p>Wireless sensor networks (WSNs) have received a great deal of researcher's attention in recent years due to its wide applications. These low-powered sensing devices are to be deployed densely and randomly in application environment. Since nodes are powered by batteries, the lifetime of the sensor node is strongly dependent on its battery lifetime. Hence energy saving in sensor nodes has received great amount of interest, thereby increasing the lifetime of the nodes. This paper includes various approaches to solve the drawbacks of SMAC and also to optimize the energy consumption of sensor nodes. This could be achieved by using dynamic sampling algorithm based on the application of the sensor nodes. This proposed algorithm reduces the energy consumption in S-MAC by addressing to its problem which indirectly increases the lifetime of sensor nodes. © Research India Publications.</p>
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Cite this Research Publication
V. Sureshkumar, T. Reddy, S., Malepati, A., and Dr. Radhika N., “A query adaptive fuzzy based dynamic sampling algorithm to manage power consumption in wireless sensor networks”, International Journal of Applied Engineering Research, vol. 9, pp. 4283-4296, 2014.