scholarly journals Design of utility functions for game-based channel allocation in cognitive radio wireless sensor network

2021 ◽  
Vol 22 (2) ◽  
pp. 1013
Author(s):  
Prativa Rai ◽  
Mrinal Kanti Ghose ◽  
Hiren Kumar Deva Sarma
Keyword(s):  
Game Theory ◽  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Utility Function ◽  
Sensor Network ◽  
Channel Allocation ◽  
High Growth ◽  
Utility Functions ◽  
Wireless Sensor ◽  
Allocation Algorithm

Cognitive radio enabled wireless sensor network is capable of reducing the spectrum scarcity problem of the wireless networks. Looking at the scarcity of available bandwidth, and the high growth in the number of communication devices in recent times, cognitive radio technology has proven to be a promising technology for the days to come. The application of Game Theory in cognitive radio networks has been visible in recent research works. However, only limited literature is available in which possibilities of applying the game-theory based approaches for the challenging task of channel assignment in cognitive radio wireless sensor are available in the literature. It is understood that the crux of the solution to the problem of scheming games for allocation of the channel is centered on the selection of the utility function in order to increase the efficiency of the channel allocation algorithm. Accordingly, the study regarding the influence of several utility functions on the performance of the corresponding channel allocation algorithm is important.  Such a study enables designers to arrive at the optimal utility function to be used in game-theory based channel allocation algorithms, and the same is explored to the best extent, in this paper. The detailed procedure of allocating channels to all the contending nodes through game-based channel allocation has been discussed in this paper. Moreover, the performance of six different utility functions proposed which can be used for channel allocation using game theory has been evaluated for respective performances through MATLAB-based simulations.

scholarly journals A secure dynamic adaptive routing technique using game theory in wireless sensor network

2018 ◽  
Vol 7 (2) ◽  
pp. 768
Author(s):  
Muruganandam. A ◽  
Anitha. R
Keyword(s):  
Game Theory ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Security ◽  
Wireless Sensor ◽  
Wireless Data ◽  
End To End Delay ◽  
And Performance ◽  
Secured Communication ◽  
Significant Concentration

A Wireless Sensor Network (WSNs) is popular developing the field in industrial and other major markets. Wireless data security is the central theme in the WSNs application where security of transmitted data is more concerned. Due to the significant concentration of energy efficiency and performance analysis in WSN, providing secured communication is a challenging issue. To overcome this interdependent problem Game theory can be used. Game theory is applied here to select different routes to transfer the data from source to destination. The performance of the WSNs can be increased by providing security for transmitted data. The graph for throughput, end to end delay, delivery, and packet loss ratio are generated using NS2 simulation tool.

scholarly journals SenPUI: Solutions for Sensing and Primary User Interference in Cognitive Radio Implementation of a Wireless Sensor Network

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Kedir Mamo Besher ◽  
Juan-Ivan Nieto-Hipolito ◽  
Mabel Vazquez Briseno ◽  
Raymundo Buenrostro Mariscal
Keyword(s):  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Spectrum Sharing ◽  
Primary User ◽  
Spectrum Management ◽  
Wireless Sensor ◽  
Battery Lifetime ◽  
Base Solution ◽  
User Interference

After an introduction of cognitive radio (CR) technology in communication, the hot research topics are sensing, Primary User Interference (PUI), spectrum management, security, spectrum sharing, and environmental sensing. Among the listed, sensing and Primary User Interference are the bold ones. The base query for these two problems lays finding a means for which and what channel at a particular time is available and avoiding interference with Primary Users (PU). This article presents a novel cognitive radio algorithm called SenPUI for both mentioned main challenges, sensing and PUI. First, energy scan during the inactive portion of communication which is dynamic is done. Second, application packet based primary user identification for PUI avoidance is proposed as base solution. Both techniques described in this work are implemented and resulted in a significant reduction of the target problems estimated around 10-30% reduction in average. Main limitations of Wireless Sensor Network (WSN) such as memory, battery lifetime, and size are considered during the design and implementation of our solutions.

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