scholarly journals Improving Quality of Service for Mobility Aware of Multi-path Routing Protocol for Load Balancing in Mobile Ad-Hoc Network

2018 ◽  
Vol 7 (2) ◽  
pp. 92-96
Author(s):  
V. Manju ◽  
R. Vadivel
Keyword(s):  
Load Balancing ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Shortest Paths ◽  
Qos Routing ◽  
Link Failures ◽  
Limited Bandwidth ◽  
Mobile Ad Hoc

In Mobile Ad hoc Network (MANET), the single path QoS routing is disadvantageous as it may cause interference, fading, collision and link failures. For QoS routing, the load balancing is necessary, because it allows a router to take advantage of best of multiple shortest paths to a given destination. It also avoids congestion within the network using multipath. While using the MQRLB, the Load balancing may cause some of the major issues such as Link failure, Out of range, Limited Bandwidth, due to this the load balancing in multipath function is not efficient.To overcome these issues, in this paper, MMQRLBMultipath Mobility Aware QoS Routing Load Balancingwith AODV(Ad-hoc on demand distance vector)protocol is proposed to improve the QoS in Load balancing.

scholarly journals Efficient Heuristic Based on Clustering Approach for OLSR

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Ali Choukri ◽  
Ahmed Habbani ◽  
Mohamed El Koutbi
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Delivery Ratio ◽  
Dynamic Nature ◽  
End To End Delay ◽  
Delay Control ◽  
Clustering Approach ◽  
Mobile Ad Hoc

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.

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