Improvement of Adaptive Load Balanced Gateway Discovery Protocol in Hybrid Integrated Internet-MANET

Improvement of Adaptive Load Balanced Gateway Discovery Protocol in Hybrid Integrated Internet-MANET

Mobile Ad Hoc Network

Gateway Load Balancing

Integrated Internet MANET

WLB-AODV

Adaptive Gateway Discovery

Genetic Algorithm

Hybrid Framework

Internetworking of different types of networks is envisaged as one of the primary objectives of the future 5G networks. Integrated Internet-MANET is a heterogeneous networking architecture which is the result of interconnecting wired Internet and wireless MANET. Multiprotocol gateways are used to achieve this interconnection. There are two types of Integrated Internet-MANET architectures, two-tier and three-tier. A combination of two-tier and three tier architectures also exists, called the Hybrid Framework or Hybrid Integrated Internet-MANET. Some of the most important issues common to all Integrated Internet-MANET architecture are: efficient gateway discovery, mobile node registration and gateway load balancing. Adaptive WLB-AODV is an existing protocol which addresses the issues of Gateway load balancing and efficient Gateway discovery. In this paper, an improvement is proposed to Adaptive WLB-AODV, called Adaptive Modified-WLV-AODV by taking into account route latency. The proposed protocol has been implemented in Hybrid Integrated Internet-MANET and has been simulated using network simulation tool ns-2. Based on the simulation results, it is observed that the proposed protocol delivers better performance than the existing protocol in terms of performance metrics end-to-end delay and packet loss ratio.  The performance of the proposed protocol is further optimized using a genetic algorithm.

Zaman, Rafi U

Alam, Humaira M

Khan, Khaleel Ur Rahman

Reddy, A. Venugopal

International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 3 (2017); pp. 162-177

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2017-04-27

Copyright (c) 2017 Rafi U Zaman, Humaira M Alam, Khaleel Ur Rahman Khan, A. Venugopal Reddy

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Peer-reviewed Article