IoT 2016 - 4th International Workshop on Internet of Things, Machine to Machine and Smart Services Applications (IoT 2016)

With the recent advancements in mobility, cloud computing, video and data centers, support of Internet of Things (IoT), Machine to Machine (M2M) as well as service and network management applications and algorithms are more important than ever. The number of devices connected to the internet has already surpassed 8 billion and is expected to reach 50 billion in 2020. IoT, service and network management systems and M2M protocols are becoming more complex due to the interconnection between different technologies and architectures across various software platforms. No single technology or architecture will be able to smoothly interface such complex systems into a unified network of all networks. New applications will be supported by these complex systems through hierarchical middleware software platforms. These services will no longer be independent static sources of content, but instead will have intelligent software to adapt those sources to varying network conditions, technologies, and platforms. This will be achieved through another intelligent layer of cognitive middleware, capable of interfacing these services to the underlying network technologies. New services must receive information about the network and adaptively tune their transport parameters, as well as bit-rates according to the underlying networking conditions/technologies. New services and contents will need to understand networking traffic parameters, and react accordingly in order to maintain uninterrupted traffic flows across the network and avoid ill-conditioned behaviors.
The scope of this workshop is to address the research and development efforts of the aforementioned issues in the area of Internet of Things applications, Machine to Machine protocols and systems, intelligent service and network management for next generation networks. This includes services for collaboration among multiple entities and users in composite, integrated, and federated settings. In particular, we are interested in papers dealing with the state-of-the-art design and analysis, implementation and experimental results of cognitive and intelligent software agents/services and applications as well as novel architectures for intelligent content delivery.
The IoT Workshop topics include (but are not limited to) the following:
Service and Network Management Applications, Systems and Algorithms
Composite and Federated Services
Services Integration
Services Value Chain Collaboration (Inter- and Intra-Enterprise)
Design and Development Methodologies for user-centered IoT
Extended Business Collaboration Models
Collaboration Constructs and Exchange Protocols
Collaboration Resources and Services
Services Publishing and Discovery
Programmable Services Interfaces
Enterprise Modeling and Management
Services Performance Evaluation, Models and Optimization
Services Lifecycle (Planning, Implementation, Delivery, Operation, Management, etc.)
Application Services and Standards
Smart Technologies and Services for Could Computing, Mobility, Video and Data Centers
Cloud Based Internet of Things
Fog Computing
Applications in Smart Grids
Energy-efficient Devices and Architectures
Energy Harvesting Network Design
Communication Protocol Suites for Energy Constrained Devices
Middleware for Heterogeneous Sensors, Devices and Protocols
Smart Software Agents and Clients
Smart Data Collection Systems
Smart Data Analysis and Validation Algorithms
Data management in the Internet of Things
Smart Services and Applications
Smart Wireless Access (e.g., 802.16 WiMax)
M2M Communication and Collaboration
Novel Architectures for Intelligent Content Delivery
Adaptive QoS Provisioning Issues
Traffic Management and Control
Experimental Test-beds and Results
Intelligent Algorithms
Multicast Support
Human-Device Interactions in IoT
Service-aware Congestion and Traffic Control Protocols
Security and Privacy Issues in IoT
Smart electricity appliances in Smart Homes networks
Cyber Security and Privacy of smart appliance data
Smart Electric Vehicles (Internet of Mobile Things, IoMT)
Case Studies