Swarmming Nanorobots of Joint Intention for Cholesterole Free Blood Arteries

Recent advances in the nanorobots design and implementation field considers requirements that serve medical applications according to one of two scenarios: drug delivery and discovery tasks. These scenarios are based on detecting threshold concentration of specific chemicals emitted by cells or searching particular places in the human body and acting upon findings. These scenarios emphasize local self-coordination but lack the global coordination over long distances to cooperatively accomplish group task. Considering the scenario of launching a swarm of nanorobot in blood artery for the purpose of cutting cholesterol plaques, the proposed model identifies flocking based coordination between nanorobots in the swarm. The proposed model includes both decentralized and centralized coordination for possessing both the local information within the swarm and global information for interactive task assignment by the medical specialists. In addition the medical specialist can interactively cancel task, re-assign new task whilst monitoring task accomplishment. The task is simply searching Cholesterol threshold size in a specified location in blood artery. The experimentation results has shown to be efficient as it overcomes coverage based particle swarm optimization problem.