Doubly Cognitive Architecture Based Cognitive Wireless Sensor Network

Nowadays scarcity of spectrum availability is increasing highly. Adding cognition to the existing Wireless Sensor Network (WSN) infrastructure will help in this situation. As sensor nodes in WSN are limited with some constrains like power, efforts are required to increase the lifetime and other performance measures of the network. In this paper we propose the idea of Doubly Cognitive WSN. The basic idea is to progressively allocate the sensing resources only to the most promising areas of the spectrum. This work is based on Artificial Neural Network as well as on Support Vector Machine (SVM) concept. As the load of sensing resource is reduced significantly, this approach will save the energy of the nodes, and also reduce the sensing time dramatically. The proposed work can be enhanced by doing the pattern analysis thing after a sufficiently long time again and again to review the strategy of sensing. Thus Doubly Cognitive WSN will enable current WSN to overcome the spectrum scarcity as well as save the energy of the sensor nodes

Global cognitive radio based communication systems: Space-time communications

Spectrum Scarcity is a global problem across the world. This paper emphasizes on the fact that a global problem has to be dealt on global basis, not just locally by applying the principle of global cognitive radio,Global Opportunistic Remote Spectrum Access. The Future Internet and Internet of Things literally scare the communication system designer regarding the available bandwidth and spectrum resources. There is absolutely no scope to waste or under utilize the available resources. Hence the proposed idea of Global Cognitive Radio Concept can undoubtedly solve the resource problems in next Generation Communications.Comment: 9 pages, 4 figure