DeepAI AI Chat
Log In Sign Up

Adaptivity to Enable an Efficient and Robust Human Intranet

by   Ali Moin, et al.

The Human Intranet is envisioned as an open, scalable platform that seamlessly integrates an ever-increasing number of sensor, actuation, computation, storage, communication, and energy nodes located on, in, or around the human body, acting in symbiosis with the functions provided by the body itself. The limited amount of available energy and the critical nature of its applications require such a network to be extremely efficient and robust. This paper introduces a learning-based adaptive network structure to overcome these challenges. The adaptive structure is implemented and tested in two sample scenarios and the results are reported.


page 2

page 6

page 13


Bioelectronic Sensor Nodes for Internet of Bodies

Energy-efficient sensing with Physically-secure communication for bio-se...

Slotted CSMA/CA Based Energy Efficient MAC Protocol Design in Nanonetworks

Devices in a beacon-enabled network use slotted CSMA/CA to contend for c...

Understanding the Applicability of Terahertz Flow-guided Nano-Networks for Medical Applications

Terahertz-based nano-networks are emerging as a groundbreaking technolog...

Adaptive robot body learning and estimation through predictive coding

The predictive functions that permit humans to infer their body state by...

Hybrid Heterogeneous Routing Scheme for Improved Network Performance in WSNs for Animal Tracking

Wireless Sensor Networks (WSNs) experiences several technical challenges...

Energy-efficient routing optimization algorithm in WBANs for patient monitoring

With the recent technological innovations for measuring the physiologica...

Body Sensor Network: A Self-Adaptive System Exemplar in the Healthcare Domain

Recent worldwide events shed light on the need of human-centered systems...