Dynamic and Secure Joint Routing and Charging Scheme with Mobile Power Back Ferry Nodes in Mobile Adhoc Networks

Recent introduction of hybrid architectures in Mobile Adhoc NETworks (MANETs) made researchers to concentrate on routing techniques to prolong the network lifetime with improved performance and scalability. Major research activity has been carried out to explore and improve constrained lifespan of the network by proposing on - demand power aware routing protocols. However, these protocols try to increase the network life time but doesn’t guarantee a network remain operational forever. Charging of premature failure nodes which were frequently used as relying nodes is essential to prolong network lifespan. Therefore, to improve network connectivity and lifespan, it’s essential to charge energy drained nodes based on their expected lifetime. Hence, we propose a dynamic and secure routing cum energy recharging scheme using Mobile Power Back Ferry Nodes (MPBF) to recharge energy drained nodes. Consumption of energy from the MPBF nodes affords a most trustworthy energy supply than deriving energy from other sources. This approach retains the node energy to maximum time with improved battery life by selecting a gateway based on link weight age. Secure Source- Based Loose Synchronization (SOBAS) protocol is used for authenticated power transfer. The total number of MPBF nodes required for the optimum energy conservation is determined by the target detection mechanism assigned by the Secured Sink Trail (SST). Using this joint methodology, the network lifetime and percentage of energy consumption of mobile nodes under two different scenarios (a) Variable node velocity and network traffic with fixed node density (b) Variable node density and node velocity with fixed network traffic are analyzed. We evaluate the proposed scheme performance through NS2 simulations. The results show that the proposed scheme can retain the network lifetime for a longer duration. Its performance is compared with power aware and ACO based Dynamic Power Control and load balanced energy efficient routing protocols under different QoS scenarios.