Channel Modeling of Human Somatosensory Nanonetwork: Body Discriminative Touch and Proprioception Perspective

TL;DR

This paper proposes a novel channel model for the human somatosensory system, focusing on body discriminative touch and proprioception, using automaton-based modeling and a new algorithm to enhance nanonetwork communication understanding.

Contribution

It introduces a new channel model for the somatosensory system based on automaton theory and proposes a novel algorithm and processing units for nanonetwork applications.

Findings

Established a Moore machine-based channel model

Proposed the medial lemniscal pathway algorithm

Designed a new automaton-based processing unit

Abstract

Nanonetwork design and analysis has become a very interesting topic in recent years. Though this area of research is in its formative stage, it definitely posses a strong integrity in finding out numerous applications in medical and allied sciences. Nanonetworking is indeed a nature built foundation which comprises human intra body communications. Somatosensory system is the one of the critical and must have systems of human body. This literature concentrates on the body discriminative touch and proprioception mechanism of somatosensory system. This particular system is well architecture by medial lemniscal pathway, in human body for transduction of touch and proprioceptive information. This paper seeks out the novel communication channel model of somatosensory system. The working principle of the channel model is established by an equivalent Moore machine. A novel algorithm MLP is proposed after its name, medial lemniscal pathway. A novel naomachine and appropriate processing unit are also devised, based on the automaton.