An Approach to Optimize QOS Routing Protocol Using Genetic Algorithm in MANET

Quality of Service support for Mobile Ad hoc Networks is an exigent task due to dynamic topology and limited resource. To support QoS, the link state information such as delay, bandwidth , jitter, cost, error rate and node energy in the network should be avail able and manageable. QOS is one the basic requirement of a n etwork and when we talk about the Mobile Network this is the h ighly constraint requirement of a user. To improve the quality of se rvice we use different changes in MANET protocols, its parameter, routing algorithm etc. The proposed work is to define a gen etic based routing approach to optimize the routing in MANETs. The genetic approach will generate an optimized path on the basic of con gestion over the network. The result path will improve the data deli very over the network. The focus of the paper is to study about M ANET, QOS and tries to develop a network on which genetic algorit hm is applied to generate an optimized path.

[1]  Tong Wang,et al.  Survivability Evaluation for MANET Based on Path Reliability , 2010, 2010 Second International Conference on Networks Security, Wireless Communications and Trusted Computing.

[2]  Rui Zhang,et al.  Traffic Inference in Anonymous MANETs , 2010, 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).

[3]  Zhifeng Zhao,et al.  Availability based trust model of clusters for MANET , 2010, 2010 7th International Conference on Service Systems and Service Management.

[4]  Nurul I. Sarkar,et al.  A study of MANET routing protocols: Joint node density, packet length and mobility , 2010, The IEEE symposium on Computers and Communications.

[5]  Zhang Chuanrong,et al.  New ID-Based Signcryption Scheme and Its Applications in Key Update Protocols of MANET , 2010, 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.

[6]  Durgesh Kumar Mishra,et al.  Security issues in MANET: A review , 2010, 2010 Seventh International Conference on Wireless and Optical Communications Networks - (WOCN).

[7]  Jing Chen,et al.  Study of MANET routing evaluation model based on Best-First , 2010, 2010 IEEE International Conference on Wireless Communications, Networking and Information Security.

[8]  Jing Wang,et al.  PSWAN : A probabilistic-priority-based QoS model in MANET , 2010, 2010 International Conference On Computer Design and Applications.

[9]  J. Abdullah,et al.  Effect of node density on performances of three MANET routing protocols , 2010, 2010 International Conference on Electronic Devices, Systems and Applications.

[10]  He Yuhua,et al.  Study on Key Technologies of MANET , 2010, 2010 International Conference of Information Science and Management Engineering.

[11]  Pengyuan Liu,et al.  Energy Entropy Multipath Routing optimization algorithm in MANET based on GA , 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

[12]  Chao Gui,et al.  A Energy Entropy Multipath Routing Optimization Algorithm in MANET based on GA , 2012 .

[13]  Tracy Camp,et al.  Constructing rigorous MANET simulation scenarios with realistic mobility , 2010, 2010 European Wireless Conference (EW).

[14]  Przemyslaw Pochec,et al.  Investigation of Channel Formation in a MANET , 2010, 2010 Fifth International Conference on Systems and Networks Communications.

[15]  Pascale Minet,et al.  Quality of Service Routing in a MANET with OLSR , 2007, J. Univers. Comput. Sci..

[16]  Leonard Barolli,et al.  Effects of Source and Destination Movement on MANET Performance Considering OLSR and AODV Protocols , 2010, 2010 13th International Conference on Network-Based Information Systems.

[17]  Mahalingam Ramkumar,et al.  Minimal trusted computing base for MANET nodes , 2010, 2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications.