scholarly journals Collective Scheme of Transmission of Video Packet to Develop Cross Layer to Support QOS for Manet

MANETs have become very predominant when it comes to wireless communications. Multimedia streaming is rapidly increasing over all social networks. In this part of multimedia communication, Mobile – Ad – Hoc network (MANET) has established its importance to deliver enhanced Quality of Service (QoS). However, it can be stated that when it comes to multimedia applications, MANETs still need some improvisation especially when it comes to video transmissions. There still exists few difficulties when it comes to MANETs that are such as limited physical security and resources, less detection of malicious nodes, lack of authorization facilities etc. To avoid all these and to improvise the network use of a new design approach known as cross-layer approach is being used extensively by various researchers.. The cross layer approach is used to efficiently make use of all the network resources in a communication channel and provide the best adaptability. In this paper, we have proposed a model that will avoid packet loss and will rebuild the video packets at the receiver end thereby improving the overall performance of the network.

2016 ◽  
Vol 24 (1) ◽  
pp. 329-343 ◽  
Author(s):  
Alireza Shams Shafigh ◽  
Beatriz Lorenzo Veiga ◽  
Savo Glisic

Author(s):  
Akinboro Solomon ◽  
Emmanuel Olajubu ◽  
Ibrahim Ogundoyin ◽  
Ganiyu Aderounmu

This study designed, simulated and evaluated the performance of a conceptual framework for ambient ad hoc home network. This was with a view to detecting malicious nodes and securing the home devices against attacks. The proposed framework, called mobile ambient social trust consists of mobile devices and mobile ad hoc network as communication channel. The trust model for the device attacks is Adaptive Neuro Fuzzy (ANF) that considered global reputation of the direct and indirect communication of home devices and remote devices. The model was simulated using Matlab 7.0. In the simulation, NSL-KDD dataset was used as input packets, the artificial neural network for packet classification and ANF system for the global trust computation. The proposed model was benchmarked with an existing Eigen Trust (ET) model using detection accuracy and convergence time as performance metrics. The simulation results using the above parameters revealed a better performance of the ANF over ET model. The framework will secure the home network against unforeseen network disruption and node misbehavior.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Ali Choukri ◽  
Ahmed Habbani ◽  
Mohamed El Koutbi

Due to the dynamic nature of mobile ad hoc network (MANET), the quality of service (QoS) requires several improvements. The present papercomeswithin the framework of research to optimize QoS in MANET. In this paper, we propose a novel version of OLSR based on the clustering approach which is inspired from Lin and Chu heuristic and adapted to beimplemented inOLSR. We studied its stability and we compared its performances to those of standard OLSR. The metrics we used in evaluating network performances were average end-to-end delay, control routing overhead, and packet delivery ratio. Experimental results show that our alternative significantly reduces the traffic reserved to monitoring the network, which positively influences other performances such as throughput, delay, and loss.


2018 ◽  
Vol 7 (3.4) ◽  
pp. 38 ◽  
Author(s):  
Nibedita Jagadev ◽  
Binod Kumar Pattanayak ◽  
Debabrata Singh ◽  
Sipra Sahoo

Mobile ad-hoc network (MANET) are self-configuring without any fixed infrastructure. In MANET the challenge of providing QoS support during multimedia application is an open problem.  To enhance the network throughput adequate amount of bandwidth is required. Bandwidth management in MANET plays a vital role in improving the networks overall performance. In this paper a systematic study has been carried out about challenging issues associated with bandwidth management during routing in MANET and analysis has been done about different models of bandwidth management. 


Wireless sensor nodes are tiny and have limited battery and memory. These sensor nodes are distributed and self organizing networks. Mobile Ad Hoc network (MANETs) has wide range of applications areas. Growing usage of MANETs in various applications makes a paramount issue in providing QoS. MANETs are vulnerable to different kinds of malicious attacks due to its dynamic nature, which affects nodes connectivity, increase in energy consumption and functionality. Centralized and cryptographic security approaches requires more computational functions which increases overhead. Traditional approaches have more overhead. Most existing trust-based security schemes for mobile ad-hoc networks (MANETs) consider packet loss an indicator of possible attacks by malicious nodes. Thus to achieve secure and reliable data transfer a trust aware scheme is required to evaluate trust level among honest and malicious nodes. In this paper we propose Trust Aware Scheme for Moving nodes (TASM) which discovers efficient node by computing each node’s trust value. In this scheme moving nodes exchange their trust information and analyses the received trust value and makes judgement. This scheme modifies the existing AODV routing protocol and determines malicious nodes based on trust value and log information. Received Signal Strength Indicator (RSSI) determines efficient and trusted neighbour node selection while routing. Proposed scheme is compared with the existing trust based scheme and network parameters like throughput, packet delivery ratio and end to end delay is evaluated. Trusted routing can efficiently deliver data for different routing applications used in military, Fanets and mobile IoT.


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