Mission Statement

Bio-inspired Wireless Networking Team (BioNet), short for Biollogically Inspired Wireless Networking Team, is a branch of the research group in wireless and advanced networks (NR2) at Federal University of ParanĂ¡. BioNet is an interdisciplinary and multi-institutional research team that investigates biologically inspired solutions for problems related to security, management, dependability, and communication on wireless and mobile networks. Particularly, BioNet is a cooperation between NR2 and AMSL (Algorithms, Models, and Systems Laboratory) from the University of North Carolina Charlotte.

Biological systems, such as humans, are sophisticated systems that have inspired many ideas in science and engineering. Biologically inspired computational systems can be classified as: nervous system-based (such as neural network systems), genetic systems-based (such as evolutionary algorithms), and immune system-based (such as artificial immune systems). Among them, nervous system-based and genetic system-based have already been widely applied in various areas of computer science.

From the perspective of wireless networks (a computational system), biological systems own many aspects in common. They are, in general, remarkable parallel, distributed, and adaptive systems bringing different inspirations for wireless network problems. The immune system, for example, employs learning, memory, and associative retrieval approaches to solve tasks as recognition and classification. Particularly, it learns to recognize relevant patterns, used to efficient intrusion detection. Further, the behavior of the system is a property emerging from many local interactions. These capabilities of the immune system provide several important aspects in the field of ad hoc wireless networks.

The rapidly developing communication and networking technologies have yielded many existing and envisioned information network architectures, such as cognitive radio networks, sensor networks, quantum communication networks, the next generation Internet and the InterPlaNetary Internet. Taking into account these aspects, the BioNet research team intends to contribute with the scientific community by investigating, modeling, and developing bio-inspired solutions (protocols, architectures or algorithms) for wireless network problems. Also, we aim to establish interdisciplinary research and education in the fields of biological modeling and wireless networks.

UFPR

bionet@nr2.ufpr.br

NR2

NR2 UNCC