Self-IoT 2013 - Special track on Self-aware Internet of Things in ICAC 2013

Spectacular advances in technology have introduced increasingly complex and large scale computer and communication systems. Autonomic computing has been proposed as a grand challenge that will allow systems to self-manage this complexity, using high-level objectives and policies defined by humans. Internet of things (IoT) will exponentially increase the scale and the complexity of existing computing and communication systems; the autonomy is thus an imperative property for IoT systems. However, there is still a lack of research on new techniques adapted to the IoT context or on how to adapt and tailor existing research on autonomic computing to the specific characteristics of IoT such as high dynamicity and distribution, real-time nature, resources constraints, and lossy environments.
Following the successful first edition of the Self-IoT workshop held in conjunction with the ICAC '12, ICAC '13 will host this special track on Self-aware Internet of Things that aims at drawing the attention of both IoT and autonomic computing communities to the emerging needs and challenges for self-aware IoT. The main goal is to gather different scientific communities from academy and industry under one common objective: realizing plug-n-play, context-aware and autonomous Internet of things that will be self-configured, self-organized, self-optimized and self-healed without (or with minimum) human intervention.
The Self-IoT track welcomes original research papers related to self-management in IoT. Besides theoretical aspects, Self-IoT is also interested in practical results of self-management in IoT applications. The non-exclusive list of topics of interest is as follows:
Software engineering for self-adaptive Internet of things, model-oriented approaches, automated tools for development, deployment and supervision of IoT devices and services
Plug-n-play IoT, IoT device/service discovery protocols, self-matchmaking of Internet of things and Internet of services
Modelling environmental context and user behaviour, semantic IoT, self-adaptation to context
Autonomous IoT clouds, self-provisioning of IoT services
Control theory in IoT, distributed control loops, decision making mechanisms, prediction models at run-time, learning from experience, relations with artificial intelligence techniques, multi-agent approaches for autonomic IoT
Event-Condition-Action rules, objective functions, prediction models applied to the IoT, adaptation of techniques such as Bayesian networks, decision trees or fuzzy logic to the IoT context
Performance monitoring, diagnostics and self-healing in IoT
Autonomic security and dependency management; robust and trustable IoT systems
Self-organizing network protocols, ad-hoc routing mechanisms, cognitive networks adapted to resource constrained devices and lossy environments
Autonomic experience in IoT applications such as smart home/building, smart transport, smart city, smart healthcare and smart retailer
Autonomicity and self-management in M2M communication systems and networks; autonomicity support in IPv6
Modeling, measurement, and simulation of multi-networks of autonomic IoT applications, such as energy sensing and management, vehicle control, mobile devices, and emergency management
The Self-IoT track is sponsored by three European projects on IoT: BUTLER, iCore, and IoT.est, which belong to the IERC-European Research Cluster on the Internet of Things.