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Doubly Cognitive Architecture Based Cognitive Wireless Sensor Networks

Doubly Cognitive Architecture Based Cognitive Wireless Sensor Networks

Sumit Kumar, Deepti Singhal, Garimella Rama Murthy
Copyright: © 2011 |Volume: 1 |Issue: 2 |Pages: 6
ISSN: 2155-6261|EISSN: 2155-627X|EISBN13: 9781613509807|DOI: 10.4018/ijwnbt.2011040103
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MLA

Kumar, Sumit, et al. "Doubly Cognitive Architecture Based Cognitive Wireless Sensor Networks." IJWNBT vol.1, no.2 2011: pp.30-35. http://doi.org/10.4018/ijwnbt.2011040103

APA

Kumar, S., Singhal, D., & Murthy, G. R. (2011). Doubly Cognitive Architecture Based Cognitive Wireless Sensor Networks. International Journal of Wireless Networks and Broadband Technologies (IJWNBT), 1(2), 30-35. http://doi.org/10.4018/ijwnbt.2011040103

Chicago

Kumar, Sumit, Deepti Singhal, and Garimella Rama Murthy. "Doubly Cognitive Architecture Based Cognitive Wireless Sensor Networks," International Journal of Wireless Networks and Broadband Technologies (IJWNBT) 1, no.2: 30-35. http://doi.org/10.4018/ijwnbt.2011040103

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Abstract

Scarcity of spectrum is increasing not only in cellular communication but also in wireless sensor networks. Adding cognition to the existing wireless sensor network (WSN) infrastructure has helped. As sensor nodes in WSN are limited with constraints like power, efforts are required to increase the lifetime and other performance measures of the network. In this article, the authors propose Doubly Cognitive WSN, which works by progressively allocating the sensing resources only to the most promising areas of the spectrum and is based on pattern analysis and learning. As the load of sensing resource is reduced significantly, this approach saves the energy of the nodes and reduces the sensing time dramatically. The proposed method can be enhanced by periodic pattern analysis to review the strategy of sensing. Finally the ongoing research work and contribution on cognitive wireless sensor networks in Communication Research Centre (IIIT-H) is discussed.

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