Title :
Designing and performance analysis of nano machines network for synthetic immune system
Author :
Raut, Prachi ; Sarwade, Nisha
Author_Institution :
Dept. of Inf. Technol., St. Francis Inst. of Technol., Mumbai, India
Abstract :
Nano machines network is a new networking concept wherein molecular cell sized devices perform specific tasks while coordinating with each other using molecular communication. Such a network can be employed to develop synthetic immune system. In this paper, a nano machines network is designed to mimic negative selection mechanism used in biological immune system. Since negative selection is used to perform binary classification, such a network can be used in real life applications like air/ water purification, detecting oil spill in water bodies, surveillance against chemical and biological weapons etc. For performance analysis of this design, the network is treated as a single server queue. For simulation, the inter-arrival time is generated on the basis of viral infection model while service time is based on inverse Gaussian distribution.
Keywords :
Gaussian distribution; artificial immune systems; internetworking; molecular communication (telecommunication); pattern classification; queueing theory; binary classification; biological immune system; interarrival time; inverse Gaussian distribution; molecular cell; molecular communication; nanomachine network design analysis; nanomachine performance analysis; negative selection mechanism; networking concept; service time; single server queue; synthetic immune system; viral infection model; Detectors; Immune system; Molecular communication; Nanobioscience; Testing; Training; Inverse Gaussian distribution; Nano machines network; Negative selection; Synthetic immune system; viral infection model;
Conference_Titel :
Circuits, Systems, Communication and Information Technology Applications (CSCITA), 2014 International Conference on
Conference_Location :
Mumbai
DOI :
10.1109/CSCITA.2014.6839250
