Mobility Enhancement in Nanorobots by Using Particle Swarm Optimization Algorithm

This study proposes a mobility enhancement in nanorobots by using the particle swarm optimization (PSO) algorithm. The study is based on the premise that the deployment of nanorobots and used for investigating within human body. The spatially distributed nanorobots collect information about the target environment by moving throughout the body. Such investigation within human body might face many challenges since nanorobots need to be decentrally controlled and algorithms need to work in lack of global information and constrained environment. This paper proposes to use particle swarm optimization as a feasible approach for self organized movement control of nanorobots. Along with the self organized behavior, coverage is also considered to achieve the complete monitoring throughout the investigation. The simulation results have approved that the proposed scheme effectively constructs a self organized mobility within the optimized coverage area.