Abstract
In wireless cognitive sensor networks, natural antagonism arises among unlicensed users when nodes opportunistically compete for unused frequency bands and the operations are seriously hampered by acute scarcity of resources. The transmitted power, which is inherently pertinent to the signal-to-interference-plus-noise ratio (SINR), cognition methodology, and lack of central management, must be preserved for longer network lifetime. In the midst of this struggle to acquire desired frequency band, where the performance of the entire network is dependent upon the behavior and etiquette exhibited by individual nodes, it is pivotal to introduce an effective cooperation mechanism in order to improve the vital network parameters. In this paper, we employ the concepts of game theory to develop an efficient and sustainable cooperation mechanism for efficient cognition and improved spectrum utilization. The nodes exhibit autochthonous pattern in opting for spectrum choices, which results in acceptable level of cooperation and consequently improvement in spectrum utilization. In order to achieve this global benefit, the users are motivated to carefully analyze the impact of their own choice in selecting a channel for transmission and its peers.
Highlights
The cognitive radios (CRs) in a wireless ad hoc network must adopt a mechanism to efficiently utilize the bandwidth that is unused by licensed owners
The users opt for their strategies by monitoring the potential function at every iteration and consider power options that eventually leads to an efficient solution
The underlay and overlay access schemes are considered for optimal network performance in a cooperative environment through the potential function as the decision making parameter
Summary
The cognitive radios (CRs) in a wireless ad hoc network must adopt a mechanism to efficiently utilize the bandwidth that is unused by licensed owners. Other cooperative forms involve payments by CRs to their licensed owners [11], which set a price for channel access These works discuss the problems of spectrum allocation and power and system stability or convergence. An effective method to achieve stability and increase throughput for cognitive radios is the application of potential game models These games are comprehensive with homogenous players, which do not focus on individual benefits, rather the whole network performance. In [1], an incomplete information Bayesian game providing cooperation through relaying is presented Another form of game, suitable for cognitive modeling, is the Stackelberg game [11], which explores channel and power allocation strategies.
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