2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014) 2014
DOI: 10.1109/robio.2014.7090733
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A nanorobot swarming algorithm based on bacteria foraging optimization to eradicate cancer cells

Abstract: Multi-robot cooperation is a critical technology for nanorobotics and nanomedicine. This paper presents a nanorobot swarming algorithm based on Bacteria Foraging Optimization with the aim of eradicating cancer cells in blood vessels. In the algorithm, each nanorobot is considered as a bacterium with specified chemotaxis and swarming behavior. A simulation environment reflecting the property of concentration, diffusion-rate and evaporation-rate of chemical substance is established in the paper. And simulations … Show more

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Cited by 6 publications
(4 citation statements)
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“…They use Brownian motion and move passively along the direction of flow to save energy. Once their motion brings them into proximity of the cancerous tissues, the nanobots will be able to detect CCS and will actively launch a Bacteria Foraging Optimization Algorithm (Bf) [67] based algorithm. When applied, this will bring the nanobot right up to the cancerous cell.…”
Section: Nanobot Swarm Control With Bacteria Foragingmentioning
confidence: 99%
“…They use Brownian motion and move passively along the direction of flow to save energy. Once their motion brings them into proximity of the cancerous tissues, the nanobots will be able to detect CCS and will actively launch a Bacteria Foraging Optimization Algorithm (Bf) [67] based algorithm. When applied, this will bring the nanobot right up to the cancerous cell.…”
Section: Nanobot Swarm Control With Bacteria Foragingmentioning
confidence: 99%
“…In the latter instance, the bacteria is in the presence of a stimulus and thus moves directly towards it. Tumbling and swimming are collectively known as chemotaxis, where bacteria direct their movement based on the presence of chemical gradients, i.e., stimuli [69,71]. As a bacteria cell tumbles for a long period of time without encountering a stimulus, it significantly changes its direction by skipping towards a new course.…”
Section: Bacteria Inspirationmentioning
confidence: 99%
“…Extending out prior work [31], the proposed system aims to perform optimization of the energy performance of the sensor node in WSN by minimizing the iterative steps in order to offer faster convergence performance in Bacteria Foraging Optimization. Figure 1 highlights the system model of the proposed optimization.…”
Section: The Proposed Solutionmentioning
confidence: 99%