Low Power Wireless Communications and
the Internet of Things
Aristotle University of Thessaloniki, Thessaloniki, Greece
Abstract: The IEEE 802.15.4 standard offers the basis upon which a number of wireless data communications
technologies are built. Characterised by key features such as high energy efficiency, low latency,
high accuracy and low cost, these technologies play a significant role in the rapid development of
new technological ecosystems that help shaping the emerging Internet of Things. The standard sets
specifications for the RF, PHY and MAC layers. Augmented with higher layer ad hoc protocols
and applications these specifications allow single chip complete radio controllers to create cost
effective self-healing mesh networks of both sensors and actuators. Under the umbrella of Internet
of Things, these devices allow people and objects in the physical world as well as data and virtual
environments to interact with each other, thus enabling smart digital environments in important
domains of human activity such as home, transport, health or energy. Mathematical modeling and
performance assessment of the basic IEEE 802.15.4 technologies has been the focus of many
studies in order to help understanding better the fundamental factors affecting their efficiency.
Despite its complexity, the joint evaluation of communications mechanisms at both PHY and MAC
layers is expected to lead to more realistic results and to help developing more efficient systems.
At the MAC layer, efficiency is mainly determined by the foreseen multiple access mechanism
CSMA/CA and its ability to resolve collisions of packets that originate from various network
nodes. However, this efficiency is further affected by the path loss, multi path fading, shadowing,
noise and interference exhibited in the underlying wireless channel. The presentation will review
a number of approaches developed in the past for joint modeling of PHY and MAC layers in IEEE
802.15.4 wireless networks and present an analytical model based on the M/M/1 and M/G/1
queuing systems with service interruptions or vacations in an attempt to capture the stochastic
behavior of signal propagation particularly in low power wireless networks. Simulation as well as
experimental results will be discussed in the light of real life implementations for urban traffic
management and public transport optimisation currently under development in a framework of
smart cities applications.
Brief Bio: Dimitris Mitrakos is an Associate Professor at the Department of Electrical Engineering, School
of Engineering, Aristotle University of Thessaloniki, Greece. His research interests include internet
computing, multimedia communications, sensor and digital telemetry networks and distributed
control and teleoperations systems. Dimitris has a Diploma in Electrical Engineering from Aristotle
University of Thessaloniki, an MSc in Communications Engineering from University of
Manchester Institute of Science and Technology, a DIC in Signal Processing and a PhD in
Electrical Engineering from University of London Imperial College of Science and Technology.
In the recent past, he has been Vice-Chairman of the Electrical Engineering Department and
Director of the Electronics and Computer Section of the Electrical Engineering Department of
Mitrakos D.
Low Power Wireless Communications and the Internet of Things.
DOI: 10.5220/0005888600030004
In Proceedings of the Fourth International Conference on Telecommunications and Remote Sensing (ICTRS 2015), pages 3-4
ISBN: 978-989-758-152-6
Copyright
c
2015 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved