Bio/Brain-Inspired Information and Communications Technology
Main Lab Location:
Osaka Univ. (Suita Campus)
1-5 Yamadaoka, Suita, Osaka 565-0871, Japan
My research aims to develop fundamentally new designs for information and communication systems. We aim to develop, simulate, build and test information network designs that are more efficient, robust and sustainable than current systems.
The ever-increasing size and complexity of information and communication systems make conventional designs and operational methodology infeasible. There is an urgent need to develop a whole new ICT infrastructure – i.e. algorithms, mechanisms, and architectures that are adaptive and robust to expected and unexpected future changes. Complex biological systems such as the brain illustrate remarkable examples of energy-efficiency, adaptivity and robustness, and provide a new paradigm for synthetic network design.
My previous research has developed bio-inspired algorithms to solve network (e.g. internet) routing problems, and I’ve shown that they can decrease the computational complexity and energy consumption to about 1/1,000 of current routing protocols. In other work, I’ve shown that bio-inspired algorithms can easily adapt to dynamic network changes such as sudden traffic increase and mobility of nodes, and are much more tolerant to failures than current technologies.
Currently, my lab continues to build information and communication systems that can continuously support our social infrastructure, in the face of expected and unexpected changes such as emergence of new applications, temporal/spatial/quantitative changes of traffic, and simultaneous large scale failures.
Asvarujanon, N., Leibnitz, K., Wakamiya, N., Murata, M. Noise-Assisted Concurrent Multipath Traffic Distribution in Ad Hoc Networks. The Scientific World Journal, vol. 2013, Article ID 543718, http://dx.doi.org/10.1155/2013/543718, November 2013.
Kajioka, S., Wakamiya, N., Murata, M. Autonomous and Adaptive Resource Allocation among Multiple Nodes and Multiple Applications in Heterogeneous Wireless Networks. Journal of Computer and System Sciences, Vol. 78, No. 6, pp. 1673-1685, 2012.
Iwai, T., Wakamiya, N., Murata, M. Error-Tolerant and Energy-Efficient Coverage Control based on Biological Attractor Selection Model in Wireless Sensor Networks. International Journal of Distributed Sensor Networks, Vol. 2012, February 2012
Announcements / News:
- We are recruiting PhD students - please email me for details