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Wireless sensor networks area collection of a large number of unattended sensor nodes. The sensor nodes are dynamically deployed in the region. In wireless sensor networks, the unlicensed sensor nodes use their temporarily available vacant licensed channels or spectrum band in a telecommunication network. The many open challenges with issues such as adaptive in self-organization and network scalability with cooperative spectrum sensing and sharing are identifying new challenges in wireless sensor networks. In this paper, we proposed the adaptive routing algorithm for cognitive radio wireless sensor networks. The utilization of the foraging approach of ANTs for making the decision of using the available spectrum sensing and sharing of channels over multi-hops communication, provides the method to utilize idle channel and decrease the delay for communication in wireless sensor network. In this paper, we design the algorithm to solve the issue of wireless sensor network and performance of cognitive radio sensor networks (CRSN) evaluates the parameters which proof the self-organization routing algorithm.
Keywords:
wireless sensor network; cognitive radio sensor network; self-organizing
Cite Article:
"An adaptive routing algorithm for cognitive radio-based wireless sensor networks", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 9, page no.143 - 150, September-2018, Available :http://www.ijrti.org/papers/IJRTI1809024.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator