Lifetime Maximization for 5G Mobile Networks using Secured and Finest Optimal Routing Protocol
Abstract Enhancing the network lifetime is mandate since to increase the efficiency of the network and to improve their performance. However reliable routing in wireless mobile network is the most significant problem that exists. Therefore offering mobility characteristic to each and every node’s in the networks requires a new meaning for the lifetime of network. In this research article, joint optimization mechanism called Secured and Finest Optimal Routing (SFOR) protocol is proposed. When the mobile node’s routing is indefinite or unidentified in Software Defined Network (SDN) then the three cases of routing problem is formulated for deriving secured and finest optimal routing which aims in lifetime maximization. All the three cases may be modelled as linear programming (LP) problems which can be solved as the source node routing progresses. Further for mobile node’s routing which is definite or precise, the reference energy value is set to balance the network lifetime. The proposed SFOR protocol is simulated and the performance is compared with the existing scheme. From the performance analysis it is observed that the proposed SFOR protocol enhance the network lifetime 50% and 16% as compared with Route Selection based on Connectivity, Delay, and Trust (RSCDT) and Virtual Ad hoc Routing Protocol (VARP) respectively.