A Hybrid Adaptive Model for District Based Proactive-Geographic Steering Convention in MANET

Abstract

From the time of its inception, wireless networks progressively being followed to enable mobility in mobile networks. In last few decades, a lot of Ad hoc network routing protocol were developed, specifically for Mobile Ad-Hoc Network. However no single routing strategy is well suited for different network scenario. This is due to the dynamic nature of MANET where nodes can move freely, the network size change as the nodes join and leave the network. Thus, the active directing conventions considered as robust for fast moving nodes may not be suitable for slow moving nodes and also protocols which perform well in large size network may not be suitable for small network size. In this study, considering some of the basic issues arise in MANET, we proposed a methodology to solve two such major issues: routing and scalability. Broadly, the proposed methodology combines two families of routing protocols, proactive and position-based routing protocol. The designing framework considers a layering and unifying of distinct routing algorithms. On the top level the proposed technique divides a larger sized network into multiple small size networks, Districts. On the bottom of it, proactive and geographic routing convention are used at communication time by limiting the scope of proactive steering convention within a district only refereed as In-sub-District steering convention (Is-DSC). And a sequence of greedy, face followed by greedy algorithm is used to communicate a node outside of the respective region with the help of location information of nodes called IntEr-Sub-District Steering convention (Ie-DSC). It is found that Hybridization is a good technique to have better result in different routing guidelines. In this study we developed Hybrid adaptive steering model which consists of architecture and algorithm of the proposed solution that can be applied in different network scenarios. Three different simulation scenario is utilized to understand the performance of the protocol, i.e small-size, large-size and the last scenario by changing the network size from 20 -100 nodes to understand how the steering convention behave as network density gradually grows. The main aim of MANET routing protocols is maximizing throughput, maximizing packet delivery ratio and minimizing the end-to-end delay, we employed the first two metrics to check how the proposed solution reacts for different network scenario. From the simulation result it is found that the proposed solution exhibit better performance in two metrics we selected, i.e throughput and packet delivery ratio, as the network size increased. The study suggests that the proposed solution shows better performance in both,. Small-scale and large-scale network scenario. Further the proposed solution should be implemented fully and simulation has to be done by changing different simulation parameter for different performance metrics in addition to the selected ones and needs to be compared with other active Hybrid routing Guidelines.