Bacterial motility via diffusion adaptation

Bacteria forage by moving towards nutrient sources in a process known as chemotaxis. The bacteria follow gradient variations by tumbling or moving in straight lines. Both modes of locomotion are affected by Brownian motion. Bacteria are also capable of interactions through chemical signaling. As the bacteria swim towards nutrients, they emit chemicals that can be sensed by their neighboring bacteria and used to adjust the direction of motion. In this paper, we propose schemes for cooperation and diffusion of information [1]–[7] and study their effect on bacteria motility. Because bacteria are limited in their abilities, we restrict the sharing of information to binary choices (such as whether to run or tumble). Simulation results suggest that cooperation among bacteria is critical for effective foraging to improve their decisions of movement.

[1]  E. Martin,et al.  Macmillan dictionary of life sciences , 1983 .

[2]  D. Kaiser Bacteria Also Vote , 1996, Science.

[3]  R. Losick,et al.  Why and how bacteria communicate. , 1997, Scientific American.

[4]  H. Berg Motile Behavior of Bacteria , 2000 .

[5]  Kevin M. Passino,et al.  Biomimicry of bacterial foraging for distributed optimization and control , 2002 .

[6]  K. Jarrell,et al.  Prokaryotic motility structures. , 2003, Microbiology.

[7]  B. Bassler,et al.  Quorum sensing: cell-to-cell communication in bacteria. , 2005, Annual review of cell and developmental biology.

[8]  Bonnie L. Bassler,et al.  Bacterial Small-Molecule Signaling Pathways , 2006, Science.

[9]  Bonnie L. Bassler,et al.  Bacterially Speaking , 2006, Cell.

[10]  Ali H. Sayed,et al.  Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis , 2008, IEEE Transactions on Signal Processing.

[11]  Ali H. Sayed,et al.  Self-organization in bird flight formations using diffusion adaptation , 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[12]  B. Bassler,et al.  Bacterial quorum-sensing network architectures. , 2009, Annual review of genetics.

[13]  Ali H. Sayed,et al.  Diffusion LMS Strategies for Distributed Estimation , 2010, IEEE Transactions on Signal Processing.

[14]  Ali H. Sayed,et al.  Foraging behavior of fish schools via diffusion adaptation , 2010, 2010 2nd International Workshop on Cognitive Information Processing.

[15]  Ali H. Sayed,et al.  Mobile adaptive networks with self-organization abilities , 2010, 2010 7th International Symposium on Wireless Communication Systems.

[16]  Ali H. Sayed,et al.  Tracking behavior of mobile adaptive networks , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

[17]  Isao Yamada,et al.  Diffusion Least-Mean Squares With Adaptive Combiners: Formulation and Performance Analysis , 2010, IEEE Transactions on Signal Processing.