scholarly journals Wavelet transform and cyclic cumulant based modulation classification in wireless network

2019 ◽  
Vol 15 (12) ◽  
pp. 155014771989545
Author(s):  
Wenwen Li ◽  
Zheng Dou ◽  
Lin Qi
Keyword(s):  
Wavelet Transform ◽  
Wireless Network ◽  
Prior Information ◽  
Ad Hoc ◽  
Multipath Channel ◽  
Modulation Scheme ◽  
Modulation Classification ◽  
Embedded Devices ◽  
Correct Communication ◽  
Classification Probability

With the development of Internet of things, a large number of embedded devices are interconnected by ad hoc and wireless network. The embedded devices can work correctly, only by ensuring correct communication between them. Identifying modulation scheme is the precondition to ensure the correct communication between embedded devices. However, in the multipath channel, ensuring the correct communication between embedded devices is a great challenge. Multipath channel always exists in the wireless network. However, most of the available modulation classification algorithms are based on ideal channel. It leads to the low-modulation classification probability in multipath channel. To resolve this problem, we propose a novel modulation classification algorithm. The proposed algorithm can classify signal without prior information about multipath channel. We calculate feature by high-order cyclic cumulant and wavelet transform. The feature is robust to multipath channel. The simulation results show that the proposed algorithm can achieve the much better classification accuracy than the available method in multipath channel.

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.

Comparison of Packet Delivery Fraction of On-demand Routing Protocol based on different Terrain-Area in MANET

2017 ◽  
Vol MCSP2017 (01) ◽  
pp. 38-41
Author(s):  
Hari Shankar Sahu ◽  
Rupanita Das
Keyword(s):  
Wireless Network ◽  
Routing Protocol ◽  
Rapid Growth ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Wireless Ad Hoc Network ◽  
Packet Delivery ◽  
On Demand ◽  
Telecommunication Technology ◽  
Demand Routing

Now a days telecommunication technology leads to a rapid growth of number of users, these number of users nothing but number of nodes in MANET.A wireless ad hoc network is a decentralized type of wireless network. The mobility of nodes effect on the performance of the network. Due to mobility of nodes the link breaks number of times which effect on the packet delivery. Therefore to analyze the performance, packet delivery fraction (PDF)can be used. This paper describe the packet delivery fraction of on demand routing protocol AODV and DSR on different terrain areas using GLOMOSIM.

Analysis of Learning Techniques for Performance Prediction in Mobile Adhoc Networks

2020 ◽  
Vol 6 (2) ◽  
pp. IS-46-IS-53
Author(s):  
Yusuf Durachman ◽  
Keyword(s):  
Wireless Network ◽  
Ad Hoc ◽  
Prediction Models ◽  
Service Providers ◽  
Strategic Decision ◽  
Gradient Boosting ◽  
Mobile Adhoc Networks ◽  
Network Bandwidth ◽  
Adhoc Networks ◽  
Mobile Ad Hoc

Current advancements in cellular technologies and computing have provided the basis for the unparalleled exponential development of mobile networking and software availability and quality combined with multiple systems or network software. Using wireless technologies and mobile ad-hoc networks, such systems and technology interact and collect information. To achieve the Quality of Service (QoS) criteria, the growing concern in wireless network performance and the availability of mobile users would support a significant rise in wireless applications. Predicting the mobility of wireless users and systems performs an important role in the effective strategic decision making of wireless network bandwidth service providers. Furthermore, related to the defect-proneness, self-organization, and mobility aspect of such networks, new architecture problems occur. This paper proposes to predict and simulate the mobility of specific nodes on a mobile ad-hoc network, gradient boosting devices defined for the system will help. The proposed model not just to outperform previous mobility prediction models using simulated and real-world mobility instances, but provides better predictive accuracy by an enormous margin. The accuracy obtained helps the suggested mobility indicator in Mobile Adhoc Networks to increase the average level of performance.

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