Last generation Cyberphysical Systems (CPS) have evolved from traditional standalone Embedded Systems to become a complex environment where computational elements tightly interact with physical entities such as sensors networks and I/O devices.

In the recent years, the integration of a whole set of technologies, usually referred to as Internet of Things (IoT), enabled a flourishing ecosystem of architectures and platforms where smart objects, users, and communication infrastructures interact to support intelligent context-aware services and applications.

Smart grids, medical monitoring, smart cities, and distributed pollution tracking are just a few examples of concrete applications that are gaining attraction among industries and institutions.

However, the mobility and pervasiveness requirements of such environments impose energy consumption constraints that must be met in a context of increasing computational needs, due to the processing of large amount of data coming from sensing and input devices.

The conventional approach of providing such computational resources by means of cloud computing is becoming the limiting factor in the design of the future CPS, since the increased communication effort required to perform the data offloading to external resources represents the major contribution to the overall energy consumption of the smart device. Due to the power hungry nature of the communication infrastructure, a trend can be envisaged in which the smartness of the “things” will be even more shifted toward the things themselves and network edge (FoG) rather than toward the cloud. Based on this, improving the computational capabilities of the smart objects in an even more limited energy envelope becomes a key issue.

This special issue aims at exploring emerging approaches, ideas, and contributions to address the challenges in the design of energy efficient computational-centric smart objects for IoT-enabled CPS.

Potential topics include, but are not limited to:

- Novel architectures for embedded low power computing IoT-based CPS
- Communication infrastructures for energy efficient IoT environments
- Power management algorithms and strategies for CPS
- Energy-efficient parallel architectures for embedded high performance computing
- Design platforms and tools for IoT-based ecosystems for optimizing energy/performance tradeoffs
- HW/SW specialization and unconventional computing solutions
- Energy harvesting techniques for the IoT

Authors can submit their manuscripts via the Manuscript Tracking System at:
http://mts.hindawi.com/submit/journals/vlsi/ittl/.

Manuscript Due Friday, 28 October 2016
First Round of Reviews Friday, 20 January 2017
Publication Date Friday, 17 March 2017

Lead Guest Editor

Davide Patti, University of Catania, Catania, Italy

Guest Editors

Maurizio Palesi, University of Enna KORE, Enna, Italy
Masoud Daneshtalab, KTH Royal Institute of Technology, Stockholm, Sweden
Terrence Mak, University of Southampton, Southampton, UK
Farhad Mehdipour, Unitec Institute of Technology, Auckland, New Zealand