Modeling Connectivity of Ad Hoc Network Using Fuzzy Logic & Regression Analysis

2016 ◽  
Vol 42 (1) ◽  
pp. 17-25
Author(s):  
Mohit Jain ◽  
◽  
Satish Chand
Keyword(s):  
Fuzzy Logic ◽  
Regression Analysis ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Logic Regression

Performance Comparison of MANET, VANET and FANET

2018 ◽  
Vol 8 (5) ◽  
pp. 132
Author(s):  
Aarti Sahu ◽  
Laxmi Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Wireless Network ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Fuzzy Logic Controller ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Comparison ◽  
Fuzzy Rules ◽  
Mobile Ad Hoc

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.

scholarly journals Novel Algorithm for V2v and V2i Security by Fuzzy Logic Decision in Vanet

2019 ◽  
Vol 8 (12) ◽  
pp. 755-758
Keyword(s):  
Fuzzy Logic ◽  
Information Exchange ◽  
Road Safety ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Communication Technologies ◽  
Road Accident ◽  
Traffic Jam ◽  
Recent Developments ◽  
Fuzzy Logic Method

The recent developments in wireless communication technologies along with the costs of hardware allow both V2V and V2I communications for information exchange. Such a network is called Vehicular ad Hoc Network (VANET) which is very important for various road safety and non-safety related applications. However, Due to the wireless nature of communication in VANETs, it is also prone to various security attacks which are originally present in wireless networks. Hence to realize the highest potential of VANET, the network should be free from attackers, there by all the information exchanged in the network must be reliable should be originated from authenticated source. The system can be processed by the fuzzy logic method. It does not require any keys for data transmission. The system design is very efficient compared to other techniques. So the users prevent from road accident and traffic jam.

Fuzzy logic regression analysis for groundwater quality characteristics

2017 ◽  
Vol 95 ◽  
pp. 45-50 ◽  
Author(s):  
Chris Evangelides ◽  
George Arampatzis ◽  
Christos Tzimopoulos
Keyword(s):  
Fuzzy Logic ◽  
Regression Analysis ◽  
Groundwater Quality ◽  
Quality Characteristics ◽  
Logic Regression

A Fuzzy Logic-Based Control System for Detection and Mitigation of Blackhole Attack in Vehicular Ad Hoc Network

2019 ◽  
pp. 163-178
Author(s):  
Ankit Kumar ◽  
Pankaj Dadheech ◽  
Mahender Kumar Beniwal ◽  
Basant Agarwal ◽  
Pawan Kumar Patidar
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Vehicular Ad Hoc Network ◽  
Blackhole Attack

scholarly journals Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1068
Author(s):  
Imran Memon ◽  
Mohammad Kamrul Hasan ◽  
Riaz Ahmed Shaikh ◽  
Jamel Nebhen ◽  
Khairul Azmi Abu Bakar ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Data Transmission ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Performance Comparison ◽  
Vehicular Ad Hoc Network ◽  
The Road ◽  
Road Side Unit ◽  
Head Node

Many algorithms use clustering to improve vehicular ad hoc network performance. The expected points of many of these approaches support multiple rounds of data to the roadside unit and constantly include clustering in every round of single-hop data transmission towards the road side unit; however, the clustering in every round maximizes the number of control messages and there could be the possibility of collision and decreases in network energy. Multi-hop transmission prolongs the cluster head node’s lifetime and boosts the network’s efficiency. Accordingly, this article proposes a new fuzzy-clustering-based routing algorithm to benefit from multi-hop transmission clustering simultaneously. This research has analyzed the limitation of clustering in each round, different algorithms were used to perform the clustering, and multi-hop routing was used to transfer the data of every cluster to the road side unit. The fuzzy logic was used to choose the head node of each cluster. Three parameters, (1) distance of each node, (2) remaining energy, and (3) number of neighbors of every node, were considered as fuzzy criteria. The results of this research were compared to various other algorithms in relation to parameters like dead node in every round, first node expire, half node expire, last node expire, and the network lifetime. The simulation results show that the proposed approach outperforms other methods. On the other hand, the vehicular ad hoc network (VANET) environment is vulnerable at the time of data transmission. The NS-2 software tool was used to simulate and evaluate the proposed fuzzy logic opportunistic routing’s performance results concerning end-to-end delay, packet delivery, and network throughput. We compare to the existing protocols, such as fuzzy Internet of Things (IoT), two fuzzy, and Fuzzy-Based Driver Monitoring System (FDMS). The performance comparison also emphasizes an effective utilization of the resources. Simulations on the highway environment show that the suggested protocol has an improved Quality of Service (QoS) efficiency compared to the above published methods in the literature.

scholarly journals An Efficient Routing Protocol Using an Improved Distance-Based Broadcasting and Fuzzy Logic System for VANET

2020 ◽  
Vol 13 (6) ◽  
pp. 81-93
Author(s):  
Khalid Kandali ◽  
◽  
Hamid Bennis ◽  
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Data Transmission ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Network Routing ◽  
Fuzzy Logic System ◽  
Network Bandwidth ◽  
Logic System

The high mobility and frequent changes in the network topology remain a great divergence between Vehicular Ad-hoc Network (VANET) and Mobile Ad-hoc Network (MANET). This makes existing routing protocols for MANET imperfect for a VANET environment. In order to ensure good data transmission between vehicles, it is mandatory to improve these protocols to this new environment. Ad-hoc On-demand Distance Vector (AODV) is one of the most proposed reactive protocols in the literature for MANET, but its direct application in VANET returns poor performance results. In this paper, we propose an Efficient Routing Protocol using an improved Distance-Based Broadcasting and Fuzzy Logic System (ERPFL), which is an extension of the AODV routing protocol. In the first, the proposed scheme uses an improved Distance-Based Broadcasting method in route discovery process. Each vehicle selects the most suitable neighbours to send a route request, using different mobility parameters such as distance, velocity and direction. Then, the destination vehicle selects the best route from the most reliable routes received, using the Fuzzy Logic System. Link Expiration Time and Link Reliability Model are considered input metrics for this system. The simulation results show that ERPFL saves network bandwidth resources which contributes to a higher data transmission ratio. In addition, our proposed protocol efficiently distributes data packets, decreases the hop count and reduces network routing time.

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