scholarly journals Efficient Fuzzy Logic Based Probabilistic Broadcasting for Mobile Ad hoc Network

2016 ◽  
Vol 9 (4) ◽  
pp. 666-675 ◽  
Author(s):  
Sumit Kumar ◽  
Shabana Mehfuz
Keyword(s):  
Fuzzy Logic ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mobile Ad Hoc

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 Improved TCP Prediction Congestion in Mobile Ad Hoc Network Based on Cross-Layer and Fuzzy Logic

2021 ◽  
Vol 15 (14) ◽  
pp. 125
Author(s):  
Moulay Hicham Hanin ◽  
Mohamed Amnai ◽  
Youssef Fakhri
Keyword(s):  
Fuzzy Logic ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Signal Strength ◽  
Cross Layer ◽  
Fuzzy Logic Systems ◽  
Tree Metrics ◽  
Mobile Ad Hoc ◽  
Stability Energy

Mobile ad hoc network (MANET) is among the networks which do not require any infrastructure to put nodes in communication. Due to its own nature, it is used by several applications. Even though it's a network that is extremely challenging and mostly when TCP is applied. In this paper, we have proposed a new improvement in the TCP algorithm that employed fuzzy logic to predict packet loss and avoid congestion. Specifically, we have used tree metrics such as stability, energy, and signal strength to use in fuzzy logic systems. To accomplish our approach, we have established some modifications based on a cross-layer. The results of the relevant simulation performed by NS3 demonstrated that our approach globally improves the performance of TCP in MANET. Precisely reduce the packet overhead and energy consumption also enhance throughput.

Fuzzy Logic-based Mobility Metric Clustering Algorithm for MANETs

2011 ◽  
Vol 7 (3) ◽  
pp. 37-50 ◽  
Author(s):  
P. Venkateswaran ◽  
Mousumi Kundu ◽  
Srishti Shaw ◽  
Kanika Orea ◽  
R. Nandi
Keyword(s):  
Fuzzy Logic ◽  
Ad Hoc Network ◽  
Clustering Algorithm ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Cluster Formation ◽  
Mobile Nodes ◽  
Bandwidth Utilization ◽  
Mobile Ad Hoc ◽  
Improved Performance

Mobile ad-hoc network, (MANET) is a collection of wireless mobile nodes dynamically forming a temporary communication network without using any existing infrastructure or centralized administration. To reduce routing overhead, computational complexity and overcome the problem of low bandwidth utilization, MANET is divided into several clusters. The authors propose a fuzzy logic based mobility metric for MANET that had been utilized as the basis of cluster formation in the algorithm viz., FUZZY CLUSTERING. This algorithm leads to more stable cluster formation compared to the existing MOBIC algorithm as evidenced by significant reduction in the number of clusterhead changes. As the frequency of cluster reorganization is a significant attribute, the proposed algorithm is expected to yield improved performance for MANETs.

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