Nanorobotic Agents Communication Using Bee-Inspired Swarm Intelligence

Abstract

The main goal of this paper is to design nanorobotic agent communication mechanisms which would yield coordinated swarm behavior. Precisely we propose a bee-inspired swarm control algorithm that allows nanorobotic agents communication in order to converge at a specific target. In this paper, we present experiment to test convergence speed and quality in a simulated multi-agent deployment in an environment with a single target. This is done to measure whether the use of our algorithm or random guess improves efficiency in terms of convergence and quality. The results attained from the experiments indicated that the use of our algorithm enhance the coordinated movement of agents towards the target compared to random guess.

Nanorobots target search strategies using swarm intelligence

“…Nanorobots, also known as Nanorobotic agents in this paper, are extremely small and programmed to diagnose and treat various illnesses in a human-like body environment (Manjunath & Kishore, 2014). These nanorobots follow straightforward rules as a collective without any centralized control structure in interacting with each other and their environment (Mushininga & Ogwu, 2013). The nanorobot's simple rule-guided interactions lead to intelligent collective behavior among the nanorobotics agents.…”