An Optimized Load Balance Solution for Multi-homed Host in Heterogeneous Wireless Networks

Naeem, Mohamed; ElAttar, Hussein M.; Aboul-Dahab, Mohamed A.

doi:10.3390/s19122773

Cited by 9 publications

(3 citation statements)

References 70 publications

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“…Then, it developed to the analysis, understanding, and prediction of data, and then, data warehouse and data mining technology appeared. With the development of network information technology, database technology, etc., the amount of information stored in the database by humans increases over time, and adding and deleting technologies of the database are perfected; it provides conditions for the development of data mining technology; the increase in the amount of data also indicates that a technology for processing massive data is bound to emerge [2].…”

Section: Introductionmentioning

confidence: 99%

Multisource Target Data Fusion Tracking Method for Heterogeneous Network Based on Data Mining

Guo¹,

Li²

2022

Wireless Communications and Mobile Computing

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This research is on heterogeneous network fusion method of multisource target data based on data mining. Firstly, it is a distributed storage structure model for building heterogeneous network multisource target data. Then, using the phase space reconstruction method, a grid distribution structure model for data fusion tracking is constructed, and realize visual scheduling and automatic monitoring of multisource target data. Finally, according to the feature extraction results, analyze the statistical characteristics of multisource target data in heterogeneous networks, combined with the fuzzy tomographic analysis method, multilevel fusion, and adaptive mining of multisource target data, extract the associated feature quantities in it, and realize the fusion tracking of data. The simulation results show that, in relatively simple heterogeneous networks, the feature mining error of the proposed method is nearly 2.11% lower than the two traditional methods. In relatively complex heterogeneous networks, the feature mining error of the proposed method is nearly 6.48% lower than the two traditional methods. It can be seen that this method has better adaptability for fusion tracking of heterogeneous network multisource target data, the anti-interference ability is strong, and the tracking accuracy in the data fusion tracking process is also improved.

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Section: Introductionmentioning

confidence: 99%

Multisource Target Data Fusion Tracking Method for Heterogeneous Network Based on Data Mining

Guo¹,

Li²

2022

Wireless Communications and Mobile Computing

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“…In addition, some access selection algorithms use network load as the judgment basis for network selection and connect users to a network with the lowest load in order to achieve load balancing. While these algorithms improve the resource utilization rate of HWNs, they do not consider the quality of service (QoS) requirements of users and potentially connect them to a poor-quality network, thus failing to guarantee the QoS and the experience (QoE) [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

A User-Oriented Intelligent Access Selection Algorithm in Heterogeneous Wireless Networks

Liang

Guo

Fang

2020

Computational Intelligence and Neuroscience

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A heterogeneous wireless network (HWN) contains many kinds of wireless networks with overlapping areas of signal coverage. One of the research topics on HWNs is how to make users choose the most suitable network. This paper designs a user-oriented intelligent access selection algorithm in HWNs with five modules (input, user preference calculation, candidate network score calculation, output, and learning). Essentially, the input module uses a utility function to calculate the utility value of the judgment parameter; the user preference calculation module calculates the weight of the judgment parameter using the fuzzy analysis hierarchy process (FAHP) approach; the candidate network score calculation module calculates the network score through a fuzzy neural network; the output module calculates the error between the actual output value and the expected output value; and the learning module corrects the parameter of the membership function in the fuzzy neural network structure according to the error. Simulation results show that the algorithm proposed in this paper can enable users to select the most suitable network according to service characteristics and can enable users to obtain higher gains.

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“…The work in Zhang et al discusses about a better end‐to‐end connection method between GPRS and IEEE 802.11. Several researchers has explored on software‐defined network (SDN)‐based heterogeneous wireless network such as Bhatia et al and Lu et al A user‐centric scheme for multihoming in heterogeneous wireless networks as unequal cost load balance was proposed in Naeem et al where the analytical hierarchy process (AHP), along with a utility equation, is applied to the system model for unequal load balance solution.…”

Section: Introductionmentioning

confidence: 99%

Vehicular HetNet load distribution using centralized control of software‐defined network

Kandar

Paul

Chyne

2020

Int J Communication

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Current vehicular communication systems experience from nonflexible and costly devices, complicated control-plane protocols, and vendor-specific configuration interfaces. In the next generation vehicular communication, a mobile device (MD) will be installed on a car capable of accessing multiple services from different networks. So heterogeneous networks (HetNets) may play a vital role in vehicular communication. Despite heterogeneity, flawless connectivity between different systems is a basic need of the travellers. The key challenge for seamless connectivity is the design of a vertical handover (VHO) scheme.We claim that software-defined networking (SDN) can make things easier in the design and supervision of VHO in vehicular HetNet. The proposed method maximizes the HetNet utilization with lesser handover by balancing the load among the HetNets. Simulation results performed in MATLAB justified that this novel architecture with proper VHO technique boosts the performance by balancing the load, reducing unnecessary VHO, etc. Performance is analyzed by considering four studies, ie, handover served ratio (HSR), on board units (OBUs), OBU served ratio (OSR), and total throughput and total capacities of road side units (RSUs) to serve handover demands from OBUs. It is observed that the HSR increases rapidly as the number of OBUs increases, which indicates almost all the handover requested OBUs are allocated resources by a connected RSU. We also studied the served total throughput by considering VHO with SDN, without SDN in the average case and without SDN in the best case, and it is observed that with SDN as a central controller, the total OSR and total throughput is increased. KEYWORDShandover served ratio, heterogeneous network, RSU selection, software-defined network, vehicular communication INTRODUCTIONThe advancement of wireless networks is creating web browsing, banking, social networking, multimedia services, and other activities user friendly nowadays, even in speedy mobile condition. Current vehicular communication becomes an important part of human's daily life by providing numerous services associated with nonsafety and safety applications. 1 Vehicular ad hoc networks (VANETs) theater a crucial function in order to support the people's demand on wheels, and that will grow 2 very fast in the near future. Even with the increase demand on the requirement for different stand-alone mobile standards, the lack of interest for commercialization of such individual standards are due to cost Int J Commun Syst. 2020;33:e4329.wileyonlinelibrary.com/journal/dac 2 of 13 KANDAR ET AL.factors, backward-compatibility concerns, etc, and the industry will be interested to come together on a common standard. As an outcome, the vehicular communication scenery will continue to vary for the estimated outlook. Building heterogeneity is an important aspect for service providers and mobile device companies to deal with. The mobile system companies are incorporating further network interfaces into their equipment. Currently, various...

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An Optimized Load Balance Solution for Multi-homed Host in Heterogeneous Wireless Networks

Cited by 9 publications

References 70 publications

Multisource Target Data Fusion Tracking Method for Heterogeneous Network Based on Data Mining

Multisource Target Data Fusion Tracking Method for Heterogeneous Network Based on Data Mining

A User-Oriented Intelligent Access Selection Algorithm in Heterogeneous Wireless Networks

Vehicular HetNet load distribution using centralized control of software‐defined network

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