A new dynamic routing protocol (CSTR) for mobile networks is proposed in this paper. The rules for mapping between cell number and corresponding co-ordinates are discussed. The routing protocol has been formulated with the help of a tree structure generated inter-alia. All possible routing paths could also be enumerated in a simple manner. This method is simpler than other techniques reported so far. The simulation study confirms routing path analysis for destination nodes.
The trade-off analysis between two QoS metrics towards efficient routing in mobile networks is proposed in this paper. For such analysis the behavioural natures of end-to-end transmission cost and hop-count as QoS metrics are accounted in discrete domain and subsequently, the probability density functions (pdf) of those important factors are determined. The pdf of these are transformed into continuous domain to perform mathematical operation and subsequent analysis is presented to obtain the optimal routing path(s). In this context, a multi objective optimization (MOO) on these parameters is proposed and more refined results among all possible solutions are obtained accordingly. The diverse set of possible solutions for such analysis is explored through a Multi Objective Genetic Algorithm (MOGA) based approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.