Call for Book Chapters
Springer series on Studies in Computational Intelligence
Springer Link to the book here!
Overview
Wireless sensor networks (WSNs) are rapidly becoming a technological
cornerstone for modern societies. These collections of autonomous and
distributed nodes capable of sensing, communication, processing and
self-organization continue to earn notoriety as they serve as the backbone of
emerging intelligent information-driven paradigms such as the Internet of
Things, Vehicular Clouds or Cyber-Physical Systems. Over the last two decades,
we have witnessed a plethora of developments related to theoretical innovations
in WSNs that touch all aspects of their multi-layered design, from more robust
physical layers to more efficient energy conservation and self-organization
protocols. The number of published studies reporting successful WSN applications
to dissimilar domains is frankly overwhelming.
On the other hand, Computational Intelligence (CI) remains a vibrant
research area due to its appealing ability to deal with imprecise, vague and
uncertain knowledge. Many of these uncertainty-aware modeling frameworks borrow
inspiration from natural and biological processes and have proved quite
effective in modeling and solving entangled real-world phenomena. Mimicking intelligent
systems such as ant colonies, bird flocks, immune cells, brain structure and
other highly parallel and distributed processes has contributed to alleviate
the burden imposed by the computational intractability of NP-hard optimization
problems and, more recently, the emergence of Big Data.
CI techniques have much to offer to WSN in terms of the realization of
periodical yet vital tasks such as sensor node localization, data collection
and aggregation, energy-aware routing/broadcasting and sensor relocation. The
interplay between both fields of study is growing in vitality and spills over other
closely related areas such as bio-inspired computing, robotics and vehicular
systems, thus crystalizing the foundations of an exciting multidisciplinary
arena. Bio-inspired networking is a
recently coined term that attempts to capture the impact of a large subset of
CI methodologies to interconnected systems.
The aim of the book
While Computational Intelligence applied to intelligent networking
systems in general has received due attention in recently published volumes, we
sense there is a need for gathering a representative set of the most recent undertakings
having to do with novel theoretical developments and applications of Computational Intelligence to Wireless Sensor Networks. First-class
contributions addressing research challenges in these areas and their CI-based
solutions (i.e., fuzzy systems, neural networks, evolutionary computation, swarm
intelligence, cognitive maps, rough sets, granular computing, and other emerging learning or optimization
techniques) are solicited.
Intended audience
This book will serve as an excellent guide for
surveying the state of the art in Computational Intelligence applied to challenging
real-world problems in the Wireless Sensor Networks realm. Research scientists,
network managers, industry experts, academicians and practitioners alike (mostly
in computer science, telecommunications, computer engineering, applied
mathematics or management information systems) will all benefit from the wide
spectrum of successful application domains compiled in this volume. Senior
undergraduate or graduate students may also discover in this volume uncharted
territory for their own research endeavors.
Interested in submitting?
Then check the list of submission topics, author guidelines, important dates (to the left of the page) and the volume editors.