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Top1. Introduction
Data dissemination is most important concern over any network. It becomes an important issue when it is considered over wireless networks and even paramount issue when the case of Mobile Ad Hoc Network (MANET) is there. For properly disseminating the data over Mobile Ad-Hoc Networks routing plays vital role and hence has been of immense interest over the period. A wireless network that does not have any centralized control, in which each node work as source, router as well as destination too. It works independent of any infrastructure such as Access Points (wireless networks) or routers (wired networks). It contains nodes, where each node forwards the data for others. The determination of these nodes strongly depends on the connectivity of network (Baumann, Heimlicher, Strasser, & Weibel, 2007). Additional to classic routing, flooding can also be utilized by MANETs for the forwarding of data. In wireless networks, the route selection is based on various mechanisms, and their corresponding entries are made on the hops to maintain the record of the route, the new entries are entered if the old one(s) are effect less as per the newly changed topology etc. For MANET because we do not have the fixed position then the Global positioning type of the route selection mechanism may be beneficial. The selection of most trustworthy route, which is resistant to breakdowns and is induced by the changes in topology during the node mobility, is based on an approach proposed by Kim et al. (2001) They established the concept of caution and stable zones, and then implemented it to the process of route discovery of existing ad hoc on-demand routing protocol (AODV). The whole idea of caution and stable zones is based on mobile node’s location as well as the information of mobility obtained from Global Positioning System (GPS).
As the information sharing and data dissemination have increased with a rapid pace, the demand for optimization of network resources becomes a paramount concern for the research community. In these networks for efficient routing, the selection of next hop for data transfer is an important concern. In this regard, routing metric can play an important role. The most important routing metric for route selection is Hop Count (Baumann et al., 2007). But MANET routing is a very difficult task because of the following constraints:
As the nodes leave and join the network, topology continuously changes. In this regard, it is difficult to maintain a constant routing table at each node which is very expensive process with respect to resource consumption because each node in the network has limited resources, also they have high mobility. Keeping in view of above challenges, a unified optimized route selection is required for data dissemination in MANET. This paper conations Selection of optimized route based upon the new proposed metric. Optimization of Routing: will choose the best possible Route in the network to reach the destination. The best way to optimize the route is to propose robust metric for this network. Also, it is not necessary that if a metric which shows good results for one type of network may have the same level of performance for a different type of network. Currently the best communication metric for route selection is Hop Count (Baumann et al., 2007). But it has been found that it does not give best performance in presence of high mobility of nodes. Hence, we have proposed a new metric suitable for this type of network.