Fuzzy logic and the internet panel: enhancing the power of the internet

2005 ◽  
Author(s):  
M. Nikravesh ◽  
L. Zadeh ◽  
T. Takagi
Keyword(s):  
Fuzzy Logic ◽  
The Internet

Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raid Daoud ◽  
Yaareb Al-Khashab
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Input Parameter ◽  
Traffic Density ◽  
The Internet ◽  
Linguistic Variables ◽  
Internet Service ◽  
Traffic Distribution ◽  
Smart Control ◽  
High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

scholarly journals IoT Heating Solution for Smart Home with Fuzzy Control

2020 ◽  
Vol 26 (6) ◽  
pp. 747-761
Author(s):  
Łukasz Apiecionek ◽  
Jacek Czerniak ◽  
Dawid Ewald ◽  
Mateusz Biedziak
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Fuzzy Control ◽  
Smart Home ◽  
Control Method ◽  
Computer Systems ◽  
The Internet ◽  
Climate Chamber

There is currently an era of Internet of Things in the computer systems, which consists in connecting all possible devices to the Internet in order to provide them with new functionalities and thus { to improve the user's life standard. One of such solutions could be Smart Home. The possibility of monitoring inner environment is required for such solutions. Such monitoring provides potential for e.g. better heating control. The authors of this paper propose some heating control method with Fuzzy Logic. The proposed method was tested in a special climate chamber. The authors provided conclusions at the end of the paper.

An Optimal Fuzzy Load Balanced Adaptive Gateway Discovery for Ubiquitous Internet Access in MANET

Fuzzy Systems ◽  
2017 ◽  
pp. 663-681 ◽  
Author(s):  
Prakash Srivastava ◽  
Rakesh Kumar
Keyword(s):  
Fuzzy Logic ◽  
Natural Disaster ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Internet Access ◽  
The Internet ◽  
Optimal Selection ◽  
Multiple Parameters ◽  
Gateway Discovery ◽  
Selection Of

A mobile ad hoc network (MANET) is an autonomous collection of independent nodes cooperating together to form an infrastructure less network spontaneously. For increasing usability of MANET domain which finds application in natural disaster such as earthquake, floods etc. it is also desired to be connected with Internet through Internet gateways. Therefore, an efficient gateway discovery mechanism is required for MANET-Internet integration. Existing schemes use one or multiple parameters for optimal selection of gateway which causes a particular gateway to be selected many times which results in higher delay latency and packet drops due to prevailing congestion at a particular gateway. To avoid this situation, the authors have utilized the potential of fuzzy logic to ascertain the decision of load balancing at the Internet gateway. Besides this, their scheme also incorporates an effective adaptive gateway discovery mechanism. Consequently, enhanced performance is achieved as compared to existing state-of-the-art related schemes. The proposed approach is evaluated by simulation and analytical validation.

scholarly journals Selfish node Detection Based on Fuzzy Logic and Harris Hawks Optimization Algorithm in IoT Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Abbas Akhbari ◽  
Ali Ghaffari
Keyword(s):  
Fuzzy Logic ◽  
False Positive Rate ◽  
Hybrid Approach ◽  
The Internet ◽  
Selfish Nodes ◽  
Selfish Node ◽  
Third Stage ◽  
Positive Rate ◽  
Set Up ◽  
The Internet Of Things

The Internet of things describes a network of physical things for example, “things” that are connected with the sensors, software, and other technologies to connect and exchange data with other devices and systems via the Internet. In this type of network, the nodes communicate with each other because of the low radio range by step by step with the help of each other until they reach their destination, but there are nodes in the network that do not cooperate with other nodes in the network, which are called “selfish nodes”. In this paper, we try to detect selfish nodes based on a hybrid approach to increase the performance of our network. The proposed method consists of three stages: in the first stage, with the help of the Harris hawk operation, we try to set up the cluster and select head cluster; in the second stage, the sink investigates the existence or nonexistence of selfish nodes in the network by considering the general parameters of the network; and in the event of a selfish node in the network, it informs the head clusters to check the cluster members and recognize the selfish node. In the third stage, with the help of fuzzy logic, the amount of reputation of each of the nodes has been realized, and finally, with the help of fusion of head clusters and fuzzy logic, each node is decided to be cooperate or selfish nodes, and in case of head clusters and fuzzy logic in some cases, the opportunity node will be reestablished to participate in network activities otherwise the node will be isolated. The results show that the accuracy of selfish node detection has increased by an average of 12% and the false positive rate is 8% in comparison to existing methods.

OBIRE

2010 ◽  
Vol 1 (4) ◽  
pp. 58-73
Author(s):  
Xiangyu Liu ◽  
Maozhen Li ◽  
Yang Liu ◽  
Man Qi
Keyword(s):  
Fuzzy Logic ◽  
Information Retrieval ◽  
Domain Knowledge ◽  
P2p Network ◽  
The Internet ◽  
Bibliographic Record ◽  
P2p Networks ◽  
Bibliographic Information ◽  
User Query ◽  
Bibliographic Records

It has been widely recognized that bibliographic information plays an increasingly important role for scientific research. Peer-to-peer (P2P) networks provide an effective environment for people belonging to a community to share various resources on the Internet. This paper presents OBIRE, an ontology based P2P network for bibliographic information retrieval. For a user query, OBIRE computes the degree of matches to indicate the similarity of a published record to the query. When searching for information, users can incorporate their domain knowledge into their queries which guides OBIRE to discover the bibliographic records that are of most interest of users. In addition, fuzzy logic based user recommendations are used to compute the trustiness of a set of keywords used by a bibliographic record which assists users in selecting bibliographic records. OBIRE is evaluated from the aspects of precision and recall, and experimental results show the effectiveness of OBIRE in bibliographic information retrieval.

A Survey on Different Digital Authentication Systems Using Fuzzy Logic

2018 ◽  
pp. 212-224
Author(s):  
Ayan Chatterjee ◽  
Mahendra Rong
Keyword(s):  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Wireless Communication ◽  
Social Networking ◽  
Digital Watermarking ◽  
Social Networking Sites ◽  
The Internet ◽  
Wireless Medium ◽  
Authentication Schemes ◽  
Use Of The Internet

The communication through wireless medium is very popular to the developed society. More specifically, the use of the internet as well as the use of social networking sites is increasing. Therefore, information security is an important factor during wireless communication. Three major components of it are confidentiality, integrity, and availability of information among authorized users. Integrity level is maintained through various digital authentication schemes. Fuzzy logic is an important soft computing tool that increases the digital watermarking system in various ways. In this chapter, different popular and high secured watermarking schemes using fuzzy logic are analyzed with their mathematical and experimental efficiency. A comparative analysis is developed here with corresponding different parameters.

Fuzzy Logic and the Internet: Web Intelligence

2004 ◽  
pp. 1-25
Author(s):  
Masoud Nikravesh ◽  
Tomohiro Takagi ◽  
Masanori Tajima ◽  
Vincenzo Loia ◽  
Ben Azvine
Keyword(s):  
Fuzzy Logic ◽  
The Internet ◽  
Web Intelligence
Sign in / Sign up

Export Citation Format

Share Document