Quality of Service Enhancement of Mobile Adhoc Networks Using Priority Aware Mechanism in AODV Protocol

2017 ◽  
Vol 96 (4) ◽  
pp. 5897-5909 ◽  
Author(s):  
Jayson Keerthy Jayabarathan ◽  
A. Sivanantharaja ◽  
S. Robinson
Keyword(s):  
Quality Of Service ◽  
Mobile Adhoc Networks ◽  
Aodv Protocol ◽  
Adhoc Networks ◽  
Priority Aware Mechanism

Performance Evaluation of Energy and Delay Aware Quality of Service (QoS) Routing Protocols in Mobile Adhoc Networks

2010 ◽  
pp. 437-446
Author(s):  
R. Asokan ◽  
A.M. Natarajan
Keyword(s):  
Quality Of Service ◽  
Routing Protocols ◽  
Delivery Ratio ◽  
Mobile Adhoc Networks ◽  
Mobile Adhoc Network ◽  
End To End Delay ◽  
New Energy ◽  
Adhoc Networks ◽  
End To End

Mobile adhoc network (MANET) is a collection of mobile devices which form a communication network with no pre-existing wiring or infrastructure. Multiple routing protocols have been developed for MANETs. As MANETs gain popularity, their need to support real time applications is growing as well. Quality of service(QoS) provisioning is becoming a critical issue in designing mobile adhoc networks due to the necessity of providing multimedia applications.These applications have stringent QoS requirements such as throughput, end-to-end delay, and energy. Due to dynamic topology and bandwidth constraint supporting QoS is a challenging task. QoS aware routing is an important building block for QoS support. The primary goal of the QoS aware protocol is to determine the path from source to destination that satisfies the QoS requirements. This article proposes a new energy and delay aware protocols called, energy and delay aware Adhoc On demand Distance Vector Routing (EDAODV) and energy and delay aware Dynamic Source Routing(EDDSR) based on extension of AODV and DSR. Simulation results show that the proposed protocols have a better performance than AODV and DSR in terms of energy, packet delivery ratio and end-to-end delay.

scholarly journals Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service

2021 ◽  
Vol 11 (8) ◽  
pp. 97-110
Author(s):  
Amit Gupta ◽  
◽  
Mahesh Motwani ◽  
J. L. Rana
Keyword(s):  
Quality Of Service ◽  
Cluster Formation ◽  
Cluster Head ◽  
Adaptive Algorithms ◽  
Mobile Adhoc Networks ◽  
Weighted Clustering ◽  
Head Node ◽  
Maintenance Techniques ◽  
Adhoc Networks

— In an Adhoc Network, every node is mobile and self-contained. As these networks lack infrastructure, highly adaptive algorithms are required to deal with frequent mobility changes by member nodes as well as Cluster Head (CH) nodes. The weighted clustering algorithms contribute significantly to cluster-based routing. In these algorithms, the selection of cluster heads is the most important task. In weighted clustering methods, the selected CH did their best to serve the network. However, the CH may become overloaded due to the arrival of nodes greater than their desired threshold value. In this case, the CH can become a bottleneck as it is unable to cope with rapidly increasing loads which ultimately degrade the network performance. In this paper, we address three network issues (i) Member Node movement (ii) Cluster head Node movement, and (iii) Overload at the Cluster head node caused due to mobility of nodes. Our proposed method Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service (CFMIQS) include various adaptive algorithms to provide solutions to deal with these network issues and improve network Quality of Service (QoS). The Simulated Results are compared with the K-means AODV algorithm, the results showed better Packet Delivery Fraction (PDF) and Throughput values. Keywords— Cluster partition, MANET, Primary Cluster head, QoS, Secondary Cluster head

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