Designing and performance analysis of nano machines network for synthetic immune system

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.