Zigbee is a low-power wireless mesh network standard targeted at battery-powered devices in wireless control and monitoring applications. Zigbee delivers low-latency communication. Zigbee chips are typically integrated with radios and with microcontrollers.
Zigbee operates in the industrial, scientific and medical (ISM) radio bands. With the 2.4 GHz band being primarily used for lighting and home automation devices in most jurisdictions worldwide. While devices for commercial utility metering and medical device data collection often use "Sub-GHz" frequencies, (902-928 MHz in North America, Australia, and Israel, 868-870 MHz in Europe, 779-787 MHz in China, even those regions and countries still using the 2.4 GHz for most globally sold Zigbee devices meant for home use. With data rates varying from around 20 kbit/s for Sub-1GHz bands to around 250 kbit/s for channels on the 2.4 GHz band range).
Zigbee builds on the physical layer and media access control defined in IEEE standard 802.15.4 for low-rate wireless personal area networks (WPANs). The specification includes four additional key components: network layer, application layer, Zigbee Device Objects (ZDOs) and manufacturer-defined application objects. ZDOs are responsible for some tasks, including keeping track of device roles, managing requests to join a network, as well as device discovery and security.
The Zigbee network layer natively supports both star and tree networks, and generic mesh networking. Every network must have one coordinator device. Within star networks, the coordinator must be the central node. Both trees and meshes allow the use of Zigbee routers to extend communication at the network level. Another defining feature of Zigbee is facilities for carrying out secure communications, protecting establishment and transport of cryptographic keys, ciphering frames, and controlling device. It builds on the basic security framework defined in IEEE 802.15.4.

The WING project[36] (sponsored by the Italian Ministry of University and Research and led by CREATE-NET and Technion) developed a set of novel algorithms and protocols for enabling wireless mesh networks as the standard access architecture for next generation Internet. Particular focus has been given to interference and traffic-aware channel assignment, multi-radio/multi-interface support, and opportunistic scheduling and traffic aggregation in highly volatile environments.

Uh? COINCIDENCE!?!?😱🙈🙊🙀

Electro-bio transduction unit on left when the optical source is ON and on the right when the thermal source is ON.
The command received from external devices is in the form of a binary code. This binary code is used to drive logic gates to produce an optical or thermal effect. The unit also contains a small chamber/drug reservoir that contains nano-sized (1–100 nm) carriers. These nanocarriers are designed in such a way that they release their contents upon stimulation from external factors such as changes in temperature, light, pH, etc. The bio–cyber interface model based on [5] adopted for this work employs two types of liposomes: photo-responsive liposomes and thermo-responsive liposomes. The photo-responsive release is considered through photoisomerization, where liposomes encapsulate molecules that excite upon the light illumination from an external source, this causes a conformational change and destabilization of the lipid membrane that allows molecule release. For thermo-responsiveness, molecules are encapsulated in temperature-sensitive liposomes or dendrimers [41], which deteriorate upon receiving nonlinear sharp changes in the temperature. To preserve the contents during propagation, thermo-responsive liposomes must retain their load at body temperature (37 °C) and may release their contents within a locally heated microenvironment. The release process of liposomes can be expressed in the following equation:

v(t) = εT (1 − e(γt))
(1)

where εT is the cumulative molecular concentration and γ is the release rate of liposomes. The output of the electro-bio unit can be expressed as follows.

c(f) = ∫ (0→Tin) ε Ψ (t) dt
(2)

where Tin is the time difference between injection and the start of the release process and Ψ is the total number of liposomes that release their content. The communication path of the electro-bio transduction unit is from bio–cyber interface towards in-body nanonetworks. The concentration of molecules may change during the propagation time i.e., after being injected from the bio–cyber interface into the blood vessel network and reaching the nano network or designated tissue. This rate of change of molecular communication from electro-bio transduction unit towards nanonetwork can be modeled through the equation below [5]:

dtv1(t) = v1(t) (k12 + k10) + k21 v2(t)
(3)
dtv2(t) = k12 v1(t) − k21 v2(t)
(4)

with initial conditions v1(0) = c(f) and v2(0) = 0. Where k12 and k21 are first-order rate constants, k10 is the elimination rate, v1(t) is the molecular concentration in the blood vessel network, and v2(t) is the concentration of information molecules when they reach nanonetwork. k10 is the elimination rate and vel(t) is the function of k10. The elimination rate represents the number of molecules that undergo biochemical modification, phagocytosis, elimination by liver or adhesion, and absorption by non-targeted sites, during the propagation process. Generally, the rate constants depend on the concentration difference between the blood vessel network and nanonetwork, the size of the aperture through the endothelial cell network, and the properties of the diffusing information molecules [42].
3.2. Bio-Electro Transduction Unit
This unit presents reverse communication, i.e., detection of biochemical signals in the blood vessel network and converting it to an equivalent electromagnetic signal.

A visual illustration of bioreporter activity is presented

ORANGE ORDER - SECRET SOCIETY - CERN - CERNUNNUS

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TAKE YOUR BRAIN JHONNY! hang up your brain jhonny hang it up and hold it tight!