Applying an unified access control for IoT-based Intelligent Agent Systems

IEEE 8th International Conference on Service-Oriented Computing and Applications (SOCA), 19/10/2015-21/10/2015, Roma, ItaliaThe rise of the Internet of Things (IoT) paradigm has allowed the design and development of new services interconnecting heterogeneous devices. However, the complexity of these new systems hasn"t been followed by the increase of intelligence and reasoning of the devices connected. On the other hand, intelligent agent systems have developed precisely these characteristics so the combination of both paradigms by modelling intelligent agents in IoT devices is a very promising approach that will enable a more powerful and smart IoT. The interconnection of agents through a Internet-based network implies addressing critical issues that affect all network communications, such as security, privacy and access control, specially given the sensitivity of the information exchanged by agents. In this paper, we propose the application of User-Managed Access (UMA) to provide an unified access control schema for an heterogeneous hybrid architecture of IoT devices and intelligent agents.Ministerio de Economía y Competitivida

Special Session on Industry 4.0

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A framework for smart production-logistics systems based on CPS and industrial IoT

Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. This paper potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems

Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey

Wireless sensor networks (WSNs) consist of autonomous and resource-limited devices. The devices cooperate to monitor one or more physical phenomena within an area of interest. WSNs operate as stochastic systems because of randomness in the monitored environments. For long service time and low maintenance cost, WSNs require adaptive and robust methods to address data exchange, topology formulation, resource and power optimization, sensing coverage and object detection, and security challenges. In these problems, sensor nodes are to make optimized decisions from a set of accessible strategies to achieve design goals. This survey reviews numerous applications of the Markov decision process (MDP) framework, a powerful decision-making tool to develop adaptive algorithms and protocols for WSNs. Furthermore, various solution methods are discussed and compared to serve as a guide for using MDPs in WSNs