Cognitive Wireless Sensor Network Merits, Applications, Practical Difficulties and Research Trends
S. Kalaiselvi1, S. Tamilselvan2

1S. Kalaiselvi, Research Scholar, Annamalai University, Annamalai Nagar, Chidambaram (Tamil Nadu), India.
2Dr. S. Tamilselvan, Assistant Professor, Department of Information Technology and Engineering, Annamalai University, Annamalai Nagar, Chidambaram (Tamil Nadu), India.
Manuscript received on 23 April 2019 | Revised Manuscript received on 02 May 2019 | Manuscript Published on 08 May 2019 | PP: 196-201 | Volume-7 Issue-5S3 February 2019 | Retrieval Number: E11370275S19/19©BEIESP
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Abstract: Wireless sensor network (WSN) includes a massive number of sensor nodes which performs sensing, processing and observing physical parameters in a distributed manner. The sensor nodes gather fixed data like temperature, acoustics, pressure, gas level, movement, and so to observe the environment for daily activities as well as military purposes [1]. Presently, classical sensor node in WSN simply observes the physical parameters from the environment. Few modified versions of WSN are as cognitive-WSN (C-WSN) [2], wireless multimedia sensor network (WMSN) wireless actor network (WAN), and cryptography in WSN [3] needs to execute algorithm in the nodes itself, however, resource limitations of the sensors in WSN poses a main difficulty. Hence, many of the effective or highly efficient methods like spectrum sensing approaches (C-WSN), image compression and steganography approaches or traditional cryptographic methods are not developed particularly for WSN since they exploit massive amount of resources. In addition, there is no existence or entire ser of conditions to validate the suitability of the algorithm for the recently proposed sensors with classical implicit requirements like compact and inexpensive. For instance, [4] presented various effective methods for spectrum sensing in C-WSN with no logical validation of their choice. A collection of likelihood criterion and a validation approach along with traditional evaluation measures should be proposed to validate methods which are presented for the modified versions of WSN. Alternatively, it can be said that the evaluation parameter of the techniques should include new measures to validate the suitability to implement and execute in the new generations of WSN.
Keywords: Wireless Sensor Network Applications Methods WSN.
Scope of the Article: Wireless ad hoc & Sensor Networks