An ANT+ Protocol Based Health Care System

In remote health care Body Area Networks (BAN) are very popular but demand low energy consumption due to very constrained resources. For it several protocols, such as ZigBee, BlueTooth, WiFi etc, have been proposed but non has delivered the optimum results. These systems also demand vast interoperability among devices. Recently a propriety protocol ANT+ provides such features and strengthens the goals for Internet of Things (IOT). The authors describe a software architecture which flexibly integrates ANT+ protocol enabled sensors to deliver health care services. The approach is validated on a health care application that integrates heart rate, cadence, distance, foot steps and environmental temperature sensors. Described architecture is modular, flexible, scalable and possess several features

A Flexible and Scalable Architecture for Real-Time ANT+ Sensor Data Acquisition and NoSQL Storage

Wireless Personal or Body Area Networks (WPANs or WBANs) are the main mechanisms to develop healthcare systems for an ageing society. Such systems offer monitoring, security, and caring services by measuring physiological body parameters using wearable devices. Wireless sensor networks allow inexpensive, continuous, and real-time updates of the sensor data, to the data repositories via an Internet. A great deal of research is going on with a focus on technical, managerial, economic, and social health issues. The technical obstacles, which we encounter, in general, are better methodologies, architectures, and context data storage. Sensor communication, data processing and interpretation, data interchange format, data transferal, and context data storage are sensitive phases during the whole process of body parameter acquisition until the storage. ANT+ is a proprietary (but open access) low energy protocol, which supports device interoperability by mutually agreeing upon device profile standards. We have implemented a prototype, based upon ANT+ enabled sensors for a real-time scenario. This paper presents a system architecture, with its software organization, for real-time message interpretation, event-driven based real-time bidirectional communication, and schema flexible storage. A computer user uses it to acquire and to transmit the data using a Windows service to the context server

Modeling temporal aspects of sensor data for MongoDB NoSQL database

Abstract Proliferation of structural, semi-structural and no-structural data, has challenged the scalability, flexibility and processability of the traditional relational database management systems (RDBMS). The next generation systems demand horizontal scaling by distributing data over autonomously addable nodes to a running system. For schema flexibility, they also want to process and store different data formats along the sequence factor in the data. NoSQL approaches are solutions to these, hence big data solutions are vital nowadays. But in monitoring scenarios sensors transmit the data continuously over certain intervals of time and temporal factor is the main property of the data. Therefore the key research aspect is to investigate schema flexibility and temporal data integration aspects together. We need to know that: what data modelling should we adopt for a data driven real-time scenario; that we could store the data effectively and evolve the schema accordingly during data integration in NoSQL environments without losing big data advantages. In this paper we explain a middleware based schema model to support the temporal oriented storage of real-time data of ANT+ sensors as hierarchical documents. We explain how to adopt a schema for the data integration by using an algorithm based approach for flexible evolution of the model for a document oriented database, i.e, MongoDB. The proposed model is logical, compact for storage and evolves seamlessly upon new data integration

An Ontology Driven Software Framework for the Healthcare Applications Based on ANT+ Protocol

Programmers are not flexible in integrating devices and sensors for their products due to lack of interoperability between thousands of drivers, ah-hoc APIs and protocols. How to concentrate on the functionality instead of technical details is a major requirement. We propose a development framework which classifies the devices based on their functionality and provides an abstraction layer to escape physical hardware constraints and connectivity issues. We propose the usage of ontologies in order to expose the devices functionality represented by an ontology concept. The problem is addressed in context to the healthcare application domain while using the ANT+ protocol technology

Some New Constructions of Minimal Circular Partially Neighbor Balanced Designs

Neighbor balanced designs (NBDs) are used to balance the neighbor effects in the experiments where performance of a treatment is influenced with the treatments applied in its neighboring units. Among these designs, experimenters prefer minimal NBDs but minimal circular NBDs can be generated only for ν (number of treatments) odd. For v even, minimal partially neighbor balanced designs (PNBDs) may be considered as better alternates to the minimal NBDs. In this article, minimal circular PNBDs are constructed in which 3ν/2 unordered pairs of distinct treatments do not appear as neighbors