A mobile ad-hoc network (MANET) is formed by multiple moving nodes
equipped with wireless transceivers. The mobile nodes communicate with
each other through multi-hop wireless links, where every node can transmit
and receive information. Mobile ad-hoc networks have become increasingly
important in areas where deployment of communications infrastructure is
difficult.
During the past three decades, the world has seen signifi cant changes in the telecom-
munications industry. There has been rapid growth in wireless communications, as
seen by large expansion in mobile systems. Wireless communications have moved
from fi rst-generation (1G) systems primarily focused on voice communications to
third-generation (3G) systems dealing with Internet connectivity and multi-media
applications. The fourth-generation (4G) systems will be designed to connect wire-
less personal area networks (WPANs), wireless local area networks (WLANs) and
wireless wide-area networks (WWANs).
This book is concerned with integrated circuits and systems for wireless and
mobile communications. Circuit techniques and implementation of reconfigurable
low-voltage and low-power single-chip CMOS transceivers for multiband and multi-
mode universal wireless communications are the focus of the book. Applications
encompass both long-range mobile cellular communications (GSM and UMTS)
and short-range wireless LANs (IEEE802.11 and Bluetooth). Recent advances in
research into transceiver architecture, RF frontend, analogue baseband, RF CAD
and automatic testing are reported.
The explosion in demand for wireless services experienced over the past 20 years
has put significant pressure on system designers to increase the capacity of the
systems being deployed. While the spectral resource is very scarce and practically
exhausted, the biggest possibilities are predicted to be in the areas of spectral reuse
by unlicensed users or in exploiting the spatial dimension of the wireless channels.
The former approach is now under intense development and is known as the cogni-
tive radio approach (Haykin 2005).
The planarization technology of Chemical-Mechanical-Polishing (CMP), used for the manufacturing of multi-
level metal interconnects for high-density Integrated Circuits (IC), is also readily adaptable as an enabling technology
in MicroElectroMechanical Systems (MEMS) fabrication, particularly polysilicon surface micromachining. CMP not
only eases the design and manufacturability of MEMS devices by eliminating several photolithographic and film
issues generated by severe topography, but also enables far greater flexibility with process complexity and associated
designs. T
adio Frequency Identification (RFID) is a rapidly developing automatic wireless data-collection
technology with a long history.The first multi-bit functional passive RFID systems,with a range of
several meters, appeared in the early 1970s, and continued to evolve through the 1980s. Recently,
RFID has experienced a tremendous growth,due to developments in integrated circuits and radios,
and due to increased interest from the retail industrial and government.
Radio frequency identification (RFID) and Wireless sensor networks (WSN) are
the two key wireless technologies that have diversified applications in the present
and the upcoming systems in this area. RFID is a wireless automated recognition
technology which is primarily used to recognize objects or to follow their posi-
tion without providing any sign about the physical form of the substance. On the
other hand, WSN not only offers information about the state of the substance
and environment but also enables multi-hop wireless communications.
Human Factors and Systems Interaction aims to address the main issues of concern
within systems interface with a particular emphasis on the system lifecycle
development and implementation of interfaces and the general implications of
virtual, augmented and mixed reality with respect to human and technology
interaction. Human Factors and Systems Interaction is, in the first instance, affected
by the forces shaping the nature offuture computing and systems development
Artificial Intelligence (AI) has undoubtedly been one of the most important buz-
zwords over the past years. The goal in AI is to design algorithms that transform com-
puters into “intelligent” agents. By intelligence here we do not necessarily mean an
extraordinary level of smartness shown by superhuman; it rather often involves very
basic problems that humans solve very frequently in their day-to-day life. This can
be as simple as recognizing faces in an image, driving a car, playing a board game, or
reading (and understanding) an article in a newspaper. The intelligent behaviour ex-
hibited by humans when “reading” is one of the main goals for a subfield of AI called
Natural Language Processing (NLP). Natural language 1 is one of the most complex
tools used by humans for a wide range of reasons, for instance to communicate with
others, to express thoughts, feelings and ideas, to ask questions, or to give instruc-
tions. Therefore, it is crucial for computers to possess the ability to use the same tool
in order to effectively interact with humans.
An Arduino core for the ATmega328, ATmega168, ATmega88, ATmega48 and ATmega8, all running a [custom version of Optiboot for increased functionality](#write-to-own-flash). This core requires at least Arduino IDE v1.6.2, where v1.8.5+ is recommended. <br/>
**This core gives you two extra IO pins if you're using the internal oscillator!** PB6 and PB7 is mapped to [Arduino pin 20 and 21](#pinout).<br/>
If you're into "generic" AVR programming, I'm happy to tell you that all relevant keywords are being highlighted by the IDE through a separate keywords file. Make sure to test the [example files](https://github.com/MCUdude/MiniCore/tree/master/avr/libraries/AVR_examples/examples) (File > Examples > AVR C code examples). Try writing a register name, <i>DDRB</i> for instance, and see for yourself!
