COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things

Abstract

Internet of Things (IoT) has radically transformed the world; currently, every device can be connected to the Internet and provide valuable information for decision-making. In spite of the fast evolution of technologies accompanying the grow of IoT, we are still faced with the challenge of providing a service oriented architecture, which facilitates the inclusion of data coming together from several IoT devices, data delivery among a system's agents, real-time data processing and service provision to users. Furthermore, context-aware data processing and architectures still pose a challenge, in spite of being key requirements in order to get stronger IoT architectures. To face this challenge, we propose a COLLaborative ConText Aware Service Oriented Architecture (COLLECT), which facilitates both the integration of IoT heterogeneous domain context data-through the use of a light message broker-and easy data delivery among several agents and collaborative participants in the system-making use of an enterprise service bus-. In addition, this architecture provides real-time data processing thanks to the use of a complex event processing engine as well as services and intelligent decision-making procedures to users according to the needs of the domain in question. As a result, COLLECT has a great impact on context-aware decentralized and collaborative reasoning for IoT, promoting context-aware intelligent decision making in such scope. Since context-awareness is key for a wide range of recommender and intelligent systems, the presented novel solution improves decision making in a large number of fields where such systems require to promptly process a variety of ubiquitous collaborative and context-aware data.

FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms

“…The core comprises the main computing components of the system, for example, the main database and broker, among others [18], while the edge level is comprised by other components: wireless sensor and actuators networks and the fog nodes. The latter comprises a local broker, local databases, and a processing and visualization server [18,25,26]. The fog nodes are in charge of processing the time-sensitive data while making a better use of the underlying network infrastructure.…”

“…Fog nodes are in charge of sending (1) local alerts to the subscribers and (2) the sensed data and events to the core level via the Internet [26]. Nowadays, many platforms use the MQTT protocol: a lightweight protocol where the devices send (publish) information with a label (topic) to a server that works as a broker.…”

MQTT of IoT Classification in Energy Saving

“…Fog computing is an extended cloud service introduced by CISCO. It is a new technology which provides storage, computing and networking to the edge of network for quicker analysis [11,31]. It enables IoT devices to transmit messages locally by MQTT in many aspects.…”

“…Patients and the elderly use wearable sensor devices to send body messages to the medical office. Nurses and medical persons use MQTT to send messages for hospital services [1,9,11,21,29,[32][33]. Generally, robot is used to protect human from dangerous tasks.…”

Introduction to a New Journal: Applied System Innovation

“…Topics related to things on the internet and intelligent robots are especially interesting and they compel many excellent researchers to continue their research on these subjects [1][2][3]. To discover new scientific knowledge in the future, we created a new journal: Applied System Innovation.…”