Over the past few years, Internet of Things (IoT) has been considered as an innovative and imminent information infrastructure enabling various machines, devices, etc. denoted as things, to interact ubiquitously for environment sensing, information sharing and collaboration in intelligent and autonomous manner. The concept has now further been extended to Industry 4.0, and Tactile Internet which are acting as catalysts to the evolution of a new generation of services expected to have immense impact on the social and technological eco-system. It can be envisaged that these next generation systems and services will encompass several domains such as e-Governance, Manufacturing, Retail, Health Care, Transportation, Energy & Utilities, Insurance, etc. New technologies and applications built on top of them must be developed in order to fulfil this vision of Intelligent Infrastructure and Industry 4.0. The evolving Internet concept poses a number of new challenges and opportunities for computing, networking, data management and analytics due to the large scale, complexity, heterogeneity and constrained nature of such systems and the requirement of extreme low latency in both computation and communication.
Encouraged by the great success of the previous six editions of ComNet-IoT, the goal of ComNet-IoT 2018 is to provide an inter-disciplinary platform for researchers to exchange ideas, present results, share experience, stimulate new research, and foster collaborations among researchers, professionals, and application developers on the various aspects of computing, networking, information and distributed systems technologies for the evolving Internet of Things, Industry 4.0 and Tactile Internet, including back-end infrastructure such as the Cloud and Fog/Edge networks.
Processing and Networking at Edge: Sensing and sensor signal processing, sensor networking, energy harvesting and management, crowd-sourcing & participatory sensing.
Middleware: System and network architectures, middleware for heterogeneous sensors, devices & protocols, embedded systems and robotics, QoS provisioning, security issues etc.
Analytics: Data management and analytics: data-stream, sharing, mining etc, business/machine intelligence from sensor data, deep-learning and related problems, social network analysis in IoT.
Infrastructure: Big Data Storage, management and analysis, back-end (cloud/fog based) infrastructure, distributed processing.
Applications: Novel application developments and case studies in various domains, human behaviour modelling, test-beds and field trials.
01月04日
2018
01月07日
2018
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