scholarly journals Cluster Formation Mechanism with Bacteria Optimization Method using Cognitive Radio Based Vehicular AD-HOC Network

2019 ◽  
Vol 8 (9S) ◽  
pp. 200-210
Keyword(s):  
Cognitive Radio ◽  
Formation Mechanism ◽  
Data Transmission ◽  
Ad Hoc ◽  
Cluster Formation ◽  
Radio Spectrum ◽  
Experimental Result ◽  
Dynamic Allocation ◽  
Bacterial Foraging Optimization ◽  
Road Side Units

The growing demand of the radio spectrum is an important part in the multi-agent intelligence management system of the vehicles. Cognitive radio is used for reducing the restricted access to the wavelength of the spectrum and utilizing the radio spectrum is dynamic allocation method. With the advent in the cognitive radio arrangement, the CR in vehicular ad hoc networks allow the operator to sense and hop from one to another system network in the desired frequency of the spectrum based on the environment of the cognitive radio. In existing method implemented a cluster formation mechanism used for data transmission one to another vehicle nodes. In this mechanism used CR-VANET network is divided into subgroups or clusters and achieve accuracy rate among vehicles. In this work, has implemented a cluster formation mechanism with Bacterial foraging optimization algorithm method in Cognitive radio in VANETs. In planned technique a self-motivated system network is established on the basis of clusters using BFOA network goals to achieve better throughput in data transmission one node to another node with RSU (Road Side Units). In the experimental result improves accuracy of the data transmission over the network. In proposed research, vehicles and road side units are deployed in the network. When there is loss of the data packets during the transmission in the network, then optimized clustering phase has implemented. In addition, the selections of the cluster heads are maintained the path and optimization (BFOA) phase implement to recover the path losses and improve the network performance such as overhead, energy consumption, E2E delay and Network Throughput and compared with existing method (Cluster-Formation). Simulation tool used in this proposed work is MATLAB 2016a.

scholarly journals Spectrum aware clustering in cognitive radio ad hoc networks

2018 ◽  
Vol 7 (2.30) ◽  
pp. 27
Author(s):  
Aishwarya Sagar Anand Ukey ◽  
Meenu Chawla
Keyword(s):  
Cognitive Radio ◽  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Cluster Formation ◽  
Clustering Algorithms ◽  
Radio Spectrum ◽  
Dynamic Nature ◽  
Secondary Users ◽  
Hoc Networks ◽  
Maintenance Process

Cognitive radio (CR) is an emerging technology developed for efficient utilization of the radio spectrum. CRN utilizes CR technology and enables the unlicensed users also referred as secondary users (SUs) to access free portions of the licensed spectrum in an opportunistic manner. To support scalability and stability in distributed CRNs also referred as cognitive radio ad hoc networks (CRAHNs), SUs are often organized into smaller groups known as clusters. Spectrum aware clustering is considered as the key technique to overcome numerous is-sues associated with the dynamic nature of CRAHNs. This article focuses on clustering in CRAHNs and presents a comprehensive review of various spectrum aware clustering algorithms presented in the literature. The article highlights notable clustering metrics and includes the description of cluster formation and maintenance process. The article also renders potential research gaps in existing research works and discusses open challenges and issues that need to be addressed for efficient clustering in CRAHNs. 

scholarly journals Group Buying-based Data Transmission in Flying Ad-hoc Networks: A Coalition Game Approach

2018 ◽  
Author(s):  
Lang Ruan ◽  
Jin Chen ◽  
Qiuju Guo ◽  
Xiaobo Zhang ◽  
Yuli Zhang ◽  
...  
Keyword(s):  
Formation Mechanism ◽  
Coalition Formation ◽  
Data Transmission ◽  
Large Scale ◽  
Ad Hoc ◽  
Model Simulation ◽  
System Model ◽  
Throughput Maximization ◽  
Coalition Game ◽  
Group Buying

In scenarios such as natural disasters and military strike, it is common for unmanned aerial vehicles (UAVs) to form groups to execute reconnaissance and surveillance. To ensure the effectiveness of UAV communications, repeated resource acquisition issues and transmission mechanism design need to be addressed urgently. In this paper, we build an information interaction scenario in a Flying Ad-hoc network (FANET). The data transmission problem with the goal of throughput maximization is modeled as a coalition game framework. Then, a novel mechanism of coalition selection and data transmission based on group-buying is investigated. Since large-scale UAVs will generate high transmission overhead due to the overlapping resource requirements, we propose a resource allocation optimization method based on distributed data content. Comparing existing works, a data transmission and coalition formation mechanism is designed. Then the system model is classified into graph game and coalition formation game. Through the design of the utility function, we prove that both games have stable solutions. We also prove the convergence of the proposed approach with coalition order and Pareto order. Binary log-linear learning based coalition selection algorithm (BLL-CSA) is proposed to explore the stable coalition partition of system model. Simulation results show that the proposed data transmission and coalition formation mechanism can achieve higher data throughput than the other contrast algorithms.

scholarly journals Efficient and Reliable Cluster-Based Data Transmission for Vehicular Ad Hoc Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Xiang Ji ◽  
Huiqun Yu ◽  
Guisheng Fan ◽  
Huaiying Sun ◽  
Liqiong Chen
Keyword(s):  
Routing Protocol ◽  
Data Transmission ◽  
Intelligent Transportation Systems ◽  
Clustering Algorithm ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Cluster Formation ◽  
Cluster Head ◽  
Sampling Strategy ◽  
Transportation Systems

Vehicular ad hoc network (VANET) is an emerging technology for the future intelligent transportation systems (ITSs). The current researches are intensely focusing on the problems of routing protocol reliability and scalability across the urban VANETs. Vehicle clustering is testified to be a promising approach to improve routing reliability and scalability by grouping vehicles together to serve as the foundation for ITS applications. However, some prominent characteristics, like high mobility and uneven spatial distribution of vehicles, may affect the clustering performance. Therefore, how to establish and maintain stable clusters has become a challenging problem in VANETs. This paper proposes a link reliability-based clustering algorithm (LRCA) to provide efficient and reliable data transmission in VANETs. Before clustering, a novel link lifetime-based (LLT-based) neighbor sampling strategy is put forward to filter out the redundant unstable neighbors. The proposed clustering scheme mainly composes of three parts: cluster head selection, cluster formation, and cluster maintenance. Furthermore, we propose a routing protocol of LRCA to serve the infotainment applications in VANET. To make routing decisions appropriate, we nominate special nodes at intersections to evaluate the network condition by assigning weights to the road segments. Routes with the lowest weights are then selected as the optimal data forwarding paths. We evaluate clustering stability and routing performance of the proposed approach by comparing with some existing schemes. The extensive simulation results show that our approach outperforms in both cluster stability and data transmission.

Application and Research of Routing Protocol Based on AODV in Cognitive Radio

2013 ◽  
Vol 336-338 ◽  
pp. 1776-1780 ◽  
Author(s):  
Yi Xian Chen
Keyword(s):  
Cognitive Radio ◽  
Routing Protocol ◽  
Data Transmission ◽  
Rapid Development ◽  
Radio Spectrum ◽  
Cross Layer ◽  
Spectral Integration ◽  
Depth Analysis ◽  
Radio Technology ◽  
Cognitive Radio Technology

With the rapid development of science and technology, the current spectrum resources can not simply cope with the high-load wireless networks transmission. In addition, because the use of spectrum resources can not be fully maximize the overload load phenomenon, which leads to the waste of resources and loss of the spectrum, the existing overall spectrum resources are not adequate utilization and its utilization can not be improved. Obviously, in order to meet the growing demand for Internet and wireless communications, we must address the low rate of utilization of spectrum resources To this end, it is proposed to use the spectrum resources in cognitive radio drainage techniques, cognitive radio node to perceive the change of radio spectrum resources, and thus connected in the most appropriate timing and spectral integration, the effect of radio data transmission, and adequately addressed the problem of the spectrum resource low utilization. This thesis is based on the in-depth analysis of cognitive radio technology to understand the routing protocol in wireless cross-layer data transmission, and then discuss the relevant characteristics of the AODV routing protocol, and base on the AODV, the routing protocol uses in the analysis of the radio network organization based on the proposed to the possibility of cognitive radio.

MAC Protocols for Cognitive Radio Ad Hoc Networks

2013 ◽  
pp. 190-209
Author(s):  
Abdullah Masrub
Keyword(s):  
Cognitive Radio ◽  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc ◽  
Mac Protocol ◽  
Radio Spectrum ◽  
Mac Protocols ◽  
Medium Access ◽  
Markov Decision ◽  
Hoc Networks

In contrast to infrastructure-based networks, in wireless ad hoc networks nodes can discover and communicate with each other directly without involving central access points. In this mode of multi-hop networks, all nodes have equal right to access the medium. Hence, the performance of wireless ad hoc networks is mostly limited by traffic congestion. To alleviate such a problem, Cognitive Radio (CR) technology can be used. In this chapter, a CR-based Medium Access Control (MAC) layer for wireless ad hoc networks is investigated. The authors focus on Cognitive MAC protocols for an unlicensed user, which can be enabled to access the large amount of unused spectrum allocated for a licensed user in an intelligent way without causing any harmful interference. They propose a cognitive MAC protocol based on the theory of the Partially Observed Markov Decision Process (POMDP), which sense the radio spectrum, detect the occupancy state of different primary channels, and then opportunistically communicate over unused channels. The objective is to benefit as much as possible from the available spectrum opportunities by making efficient decisions on which channels to access, which ensures maximization of the throughput of the secondary user.

Sign in / Sign up

Export Citation Format

Share Document