A Proposed Route Selection Technique in DSR Routing Protocol for MANET

This paper presents a novel technique for optimizing the efficiency of route discovery. The optimization aims to minimize the number of cached route request (RREQ), which is a significant source of overhead for the dynamic source routing (DSR) protocol. Our proposed technique is based on a decision algorithm that weighs individual links as a path to the necessary destination is being constructed if this link is deemed suitable by the fuzzy logic system it is added to the path and route construction continue. The fuzzy controller is used to instruct route construction continue as only good quality links are recorded in source destination paths. A productive decision using a fuzzy logic system is applied to the route discovery technique to curb non-optimal network floods. This action causes a cessation in the generation of low quality routes as only paths with good routing metrics are selected for the rebroadcast of route discovery packets. Consequently, route query packets arriving at the necessary destination node, or at some intermediate node with knowledge of the destination node, generate high quality route replies Performance results show that the propagated route request overhead can be reduced by more than 30% under high node mobility. Also, our proposed algorithm can significantly reduce the average end-to-end delay. Furthermore Simulation results show that the packet delivery ratio increases when proposed algorithm is used in comparison with the standard DSR routing protocol. Index Term-MANET, New routing protocol for MANET,

[1]  John Novatnack,et al.  Evaluating ad hoc routing protocols with respect to quality of service , 2005, WiMob'2005), IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, 2005..

[2]  Xu. Lin.  GPS based localized routing algorithms for wireless networks. , 2000 .

[3]  Charles E. Perkins,et al.  Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers , 1994, SIGCOMM.

[4]  Mamoun Hussein Mamoun,et al.  Important Characteristic of Differences between DSR and AODV Routing Protocol , 2007 .

[5]  Mamoun Hussein Mamoun,et al.  Location Aided Hybrid Routing Algorithm for MANET , 2011 .

[6]  Timothy D. Andersen,et al.  A simple and effective cross layer networking system for mobile ad hoc networks , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  C. Lokanatha Reddy.  High performance Modified DSR with Power Consumption Optimization for Mobile Adhoc Networks. , 2007 .

[8]  David A. Maltz,et al.  Dynamic Source Routing in Ad Hoc Wireless Networks , 1994, Mobidata.

[9]  Chai-Keong Toh,et al.  Ad Hoc Mobile Wireless Networks , 2002 .

[10]  Tarek N. Saadawi,et al.  Modeling wireless channel for ad-hoc network routing protocol , 2008, 2008 IEEE Symposium on Computers and Communications.

[11]  Mario Gerla,et al.  GloMoSim: A Scalable Network Simulation Environment , 2002 .

[12]  Tarek N. Saadawi,et al.  Social-Stratification Probabilistic Routing Algorithm in Delay-Tolerant Network , 2009, WASA.

[13]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[14]  Tomasz Imielinski,et al.  GPS-based geographic addressing, routing, and resource discovery , 1999, CACM.

[15]  N. Wisitpongphan,et al.  QoS provisioning using BER-based routing in ad hoc wireless networks , 2005, 2005 IEEE 61st Vehicular Technology Conference.