Abstract
Noise degrades the overall efficiency of the data transmission in the networking models which is no different in Cognitive Radio Adhoc Networks (CRAHNs). For efficient opportunistic routing in CRAHN, the Modified SMOR (M-SMOR) and Sparsity based Distributed Spectrum Map M-SMOR (SDS-M-SMOR) have been developed which provide significant improvement in the overall routing behavior. However, the increase in the noises is inevitable especially in large scale networks which Swarm Optimization (PSO) and Genetic Algorithm (GA) together termed as HPSOGA. The proposed HPSOGA based adaptive filter readjusts the filter constraints in accordance to the channel and the signals, thus mitigates the noise in the reconfigurable systems, like CRAHNs. The key benefit of the HPSOGA based adaptive filter is the global optimization when compared to other, the proposed model with noise cancellation has better performance values than other routing models.
Highlights
Data integrity is affected in communication networks by noise elements
This paper aims at developing novel noise cancellation system to be coupled with the opportunistic routing model so that the routing as well as transmission performance can be improved
It has been found that the PSO based adaptive filter is highly efficient than Genetic Algorithm (GA) and this paper explores the idea of utilizing a hybrid evolutionary algorithm based adaptive filter
Summary
Data integrity is affected in communication networks by noise elements. Noise incorporates bad performance, noise establishing from framework non-linearity in the wireless anterior end, and impedance between co-positioned wireless nodes inside a network [1]–[3]. Evolutionary algorithm, Particle Swarm Optimization, Genetic Algorithm, Peak-to-Signal Noise Ratio, Mean Square Error optimization techniques — by utilizing the proposed noise cancellation model, the noises are eliminated which in turn enhances the opportunistic routing performance. This paper aims at developing novel noise cancellation system to be coupled with the opportunistic routing model so that the routing as well as transmission performance can be improved. For this purpose, an adaptive filtering technique is developed using hybrid of Particle could separate whether the involved signal is noise or impedance signal the sensor can either.
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