Multipath Transmission in IoT using Hybrid Salp Swarm-Differential Evolution Algorithm


The improvements in technology in the field of communication did Wireless Sensor Network (WSN) on the basis of the IoT desirable and appropriate to several regions. It is encompassed that IoT nodes perform on restricted battery provisions. Therefore, a maximum-routing protocol performance is necessary for routing in such networks to surmount the energy constraint issues. For multipath data transmission, an energy-efficient routing algorithm named Hybrid Salp Swarm and Simulated Algorithm (Hybrid SS and SA) is adopted in this work. The adopted approach enhanced the routing procedure in a dual-phase procedure. Initially, the cluster heads are chosen by exploiting the Salp Swarm Algorithm. Subsequently, multiple paths are produced from the sender to the receive r by exploiting DE. Here, inter and intra-cluster distance, energy, delay and lifetime is considered as the objective function. In the fitness model, an optimal path for the transmission is presented. Finally, the investigational outcomes exhibit that the performance of the proposed model shows maximum performance with respect to the alive nodes and energy in contrast with the conventional approaches.


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