QoS and Fuzzy Logic Based Routing Protocol for CRN

Abstract

The tremendous development in wireless technologies and multimedia applications persuaded upsurge in spectrum utilization in the past. One of the adequate clarifications to overwhelm this limitation is by using Cognitive Radios (CR). These networks are likely to boost spectrum consumption professionally by permitting Secondary Users (SUs) to take advantage of the use of the approved spectrum of primary users (PUs). CR is a kind of a sensible radio that can sense the extraneous surroundings, analyze the past and build perspicacious conclusions to switch its transmission factors in step with the current state of the atmosphere. An Ad-hoc Network engaging Cognitive Radios (CR) can often be termed as Cognitive Radio Adhoc Network (CRAHN). Routing in CRAHNis not an easy mission due to spectrum availability, power, link stability, etc. Among all the parameters, the one among the best parameter for route selection is throughput. Since several applications need a high value of throughput like Audio & Video Broadcasting, Interactive audio & Video Streaming, etc. and some require the low value of throughput like E-mail, Telnet, etc. This paper design a routing strategy based on finding an optimal throughput path using fuzzy logic. To show the efficiency of a designed scheme it is compared with the shortest path routing mechanism. Our result shows that the proposed method is efficient than Shortest Spectrum.

A Hybrid Crow Search and Gray Wolf Optimization Algorithm‐based Reliable Non‐Line‐of‐Sight Node Positioning Scheme for Vehicular Ad hoc Networks

“…[23][24][25]45,46 Enhanced weight-based clustering algorithms are used for pointing the region in the network. 50,[56][57][58][59][60] Fourfold cross validation is used during the prediction process. The completion simulation is run 100 times and the average of the results is considered as the resultant performance.…”

“…Evaluation parameters such as the delivery rate of warning message, mean processing rate of request verification, rate of awareness, end‐to‐end delay, channel utilization, rate of localization and percentage of localization error are determined for different vehicle densities, number of NLOS and reference nodes and elapsed time for quantifying the potential of the proposed scheme as a significant NLOS positioning scheme as suggested in previous studies 23–25,45,46 . Enhanced weight‐based clustering algorithms are used for pointing the region in the network 50,56–60 . Fourfold cross validation is used during the prediction process.…”

Analysis of Mathematical Apparatus for Managing Channel and Network Resources of Military Radio Communication Systems

“…The complexity of the formation of knowledge base with the account of more than five factors about the object being studied Ibrahim Mamdani [10,11] is one of the first scientists who developed the concept of fuzzy control to manage complex processes, especially when there is no clear model for describing processes [10,11]. Fuzzy management can be described as a means of controlling work with conditional sentences, which are called linguistic rules "IF-TO", rather than mathematical equations.…”

“…Summarizing the analysis and taking into account the analysis of work on information processing [1][2][3][4][5][6][7][8][9][10][11][12] the most expedient is considered the choice of methods of the theory of fuzzy sets for the processing of factors and for the evaluation of information, since its application allows us to develop a mechanism for processing information, takes into account the mutual influence of verbally and numerically described factors, presented in various assessment scales.…”

“…Considering the problem of finding a route as a multi-criteria problem, [13] presents various approaches to optimize the search process and make decision choosing a route using fuzzy sets and fuzzy logic. The basis of fuzzy logic that was initiated by the American scientist Lotfi Zadeh [10,11] allows us to describe qualitative inaccurate concepts and knowledge about the surrounding world. The methods of constructing information models based on this theory substantially expand the scope of application of information systems.…”