Towards a Dynamic Discovery of Smart Services in the Social Internet of Things

The paradigm of the Social Internet of Things (SIoT) boosts a new trend wherein the connectivity and user friendliness benefits of Social Network Services (SNS) are exhibited within the network of connected objects, i.e. the Internet of Things (IoT). The SIoT exceeds the more traditional paradigm of IoT with an enhanced intelligence and context-awareness. In this article, a novel service framework based on a cognitive reasoning approach for dynamic SIoT services discovery in smart spaces is proposed. That is, reasoning about users’ situational needs, preferences, and other social aspects along with users’ surrounding environment is proposed for generating a list of situation-aware services which matches users’ needs. This reasoning approach is then implemented as a proof-of-concept prototype, namely Airport Dynamic Social, within a smart airport. Finally, an empirical study to evaluate the reasoning approach’s efficiency shows improved services adaptability to situational needs compared to common approaches proposed in literature

Resource and service management architecture of a Low Capacity Network for smart spaces

A smart space is typically composed of heterogeneous networks of communicating and collaborating nodes with various resource capacities, e.g. in terms of processing power, memory and energy. The recent developments in wireless communication technology and miniaturization of hardware have made Low Capacity Network (LCN) such as wireless sensor and actuator networks an important element of smart spaces. However, resource and service management in LCNs is still a challenge that can facilitate interoperability with resource-rich nodes of a smart space. We propose and implement an architecture for lightweight resource and service management in LCNs. Furthermore, we present a validation of the proposed architecture through a performance analysis comparison with existing interoperability architecture