A Cluster Based Relay Assisted Communication for Prioritized Mobile End-Users

Next Generation wireless networks are primarily focused on minimizing the power wastage issues among communication nodes. The user nodes can be highly prioritized like a mobile ambulance that always seeks priority and uninterrupted service throughout. The existing Millimeter Wave Beamforming (MMW-BF) algorithms steer and switch the beams as desired, but the nodes are subjected to excessive power wastage issues. The proposed cluster based hybrid optimization algorithm when used in MMW beamforming, involves both Butterfly Optimization Algorithm (BOA) and Ant Colony Optimization Algorithm (ACOA). The combined Butterfly- Ant Colony Optimization Algorithm (BACOA) minimizes the excessive power wastage by choosing an optimum cluster head to relay the information and simultaneously finding the optimum path of relaying the information to the destination. The novel BACOA approach in MMW-BF minimizes the power wastage and maximizes the overall energy efficiency while serving the critical or prioritized nodes like mobile ambulance, subjected to preemptive decision rules. The simulation results shows that the proposed BACOA outperforms the conventional ACO and BAO in terms of convergence rate, Achivebale sum rate and Energy Efficiency. The proposed method finds wide application in providing uninterrupted connectivity for prioritized mobile end users like emergency mobile ambulance that expects un interrupted connectivity throughout.