Abstract
This chapter considers static bionanosensor networks for detecting target signals that may appear in the monitoring environment. The key problem considered in this chapter is to determine the number of bionanosensors that need to be distributed in the monitoring environment in order to meet application-dependent goals (e.g., in terms of the probability of detecting target signals). In this chapter, we first formulate the target detection problem and introduce two bionanosensor placement schemes: random and proportional placement schemes. We then show how the number of bionanosensors impacts the target detection performance of static bionanosensor networks that are formed according to the two placement schemes.
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Notes
- 1.
The lifetime of proteins ranges from several minutes to years, and 1-2 days on average. Abnormal molecules can be unstable and degrade rapidly, for example, in several tens of seconds.
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Okaie, Y., Nakano, T., Hara, T., Nishio, S. (2016). Static Bionanosensor Networks for Target Detection. In: Target Detection and Tracking by Bionanosensor Networks. SpringerBriefs in Computer Science. Springer, Singapore. https://doi.org/10.1007/978-981-10-2468-9_2
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DOI: https://doi.org/10.1007/978-981-10-2468-9_2
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-10-2468-9
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