This book discusses applications of computational intelligence in sensor networks. Consisting
of twenty chapters it addresses topics ranging from small-scale data processing to big data
processing realized through sensor nodes with the help of computational approaches. Advances in
sensor technology and computer networks have enabled sensor networks to evolve from small
systems of large sensors to large nets of miniature sensors from wired communications to
wireless communications and from static to dynamic network topology. In spite of these
technological advances sensor networks still face the challenges of communicating and
processing large amounts of imprecise and partial data in resource-constrained environments.
Further optimal deployment of sensors in an environment is also seen as an intractable
problem. On the other hand computational intelligence techniques like neural networks
evolutionary computation swarm intelligence and fuzzy systems are gaining popularity in
solving intractable problems in various disciplines including sensor networks. The
contributions combine the best attributes of these two distinct fields offering readers a
comprehensive overview of the emerging research areas and presenting first-hand experience of a
variety of computational intelligence approaches in sensor networks.
