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Autonomic Sensing

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Body Sensor Networks

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Abstract

In most engineering problems, our main concern is the exact specification and modelling of a system’s architecture and its associated responses. In this way, we can discover whether the analytical solution is tractable and practical. For complex systems, however, this is not always possible and the use of bio-inspired design provides a way of imitating how biological systems adapt to complex, dynamic and rapidly changing environments.

Natural selection has shown the weakness of distinct creatures and strengths of surviving species. To survive, animals, insects and even microorganisms are constantly competing for their lives. Despite the innate abilities of hunting for food and avoidance from predators, natural behaviours, such as social interactions, and the formation of societies are all effective survival tools. Through millions years of evolution, species have evolved to adapt to complex, competitive and dynamic environments. From anatomical and immunological properties, to those that are neurological and behavioural, nature and biology have inspired numerous innovations including the musculoskeletal humanoid, the immune network theory, artificial intelligence and quorum sensing.

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Authors and Affiliations

  1. The Hamlyn Centre, Imperial College London, London, SW7 2BY, UK

    Benny Lo & Guang-Zhong Yang PhD

  2. Institute of Computer Science, Foundation for Research and Technology – Hellas (FORTH), N. Plastira 100, Vassilika Vouton, GR-700 13, Heraklion, Crete, Greece

    Athanasia Panousopoulou

  3. National Electronics and Computer Technology Center, Pathumthani, 12120, Thailand

    Surapa Thiemjarus

Authors
  1. Benny Lo
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  2. Athanasia Panousopoulou
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  3. Surapa Thiemjarus
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  4. Guang-Zhong Yang PhD
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Corresponding author

Correspondence to Guang-Zhong Yang PhD .

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Editors and Affiliations

  1. Director and Co-Founder,The Hamlyn Centre, Imperial College London, London, United Kingdom

    Guang-Zhong Yang

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© 2014 Springer-Verlag London

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Lo, B., Panousopoulou, A., Thiemjarus, S., Yang, GZ. (2014). Autonomic Sensing. In: Yang, GZ. (eds) Body Sensor Networks. Springer, London. https://doi.org/10.1007/978-1-4471-6374-9_10

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  • DOI: https://doi.org/10.1007/978-1-4471-6374-9_10

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