​Bio-inspired Wireless Networking Team (BioNet), short for Biologically Inspired Wireless Networking Team, is a branch of the research group at Federal University of Paraná (UFPR), Brazil and certified by the research group directory from CNPq. 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.

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.
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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. Considering these aspects, the ​BioNet research team promotes high quality research in order to contribute with the scientific community by investigating, modeling, and developing bio-inspired solutions (protocols, architectures or algorithms) for wireless network issues. Further, we aim to establish interdisciplinary academic relations and contribute significantly with the formation of ethical professionals in the fields of biological modeling, performance evaluation and wireless networks, assisting in achieving and sustaining the national competitiveness of telecommunication, healthcare and defense sectors of our society.