We think that PhiNet of Things (PoT) is a unified description of pure physical space and the evolving physical space affected by STCs. Physical space plays a fundamental role in promoting the connection and development with the other three spaces. Consequently, the PhiNet, an abstracted network concept such as relationships between things, is becoming more complex. With the emergence of social space, thinking space, and cyberspace (STCs), things in physical space are continuously enriched. Physical space appeared with the birth of the earth. The data quality and system performance have been evaluated and verified in practical experimental tests. A context-aware engine is implemented to handle different contextual information. The smartphone functions as not only a gateway gathering data from multiple wearables, but also a terminal for the performance of a context-aware scheduler. This paper is focused on context data detection and data collection scheduling in a smartphone-based client-server system. Therefore, we propose a context-aware scheduler that is able to dynamically adjust a data collection schedule based on contingent situations in the condition of wearables, system resource availability and user behavior.
The main problems in the data collection arising from such fixed scheduling are weak adaptiveness to wearables’ state changes, a high level of redundancy in collected data, and possible mismatches in the dynamic precision requirements of data capture. In most current applications, such wearables operate to collect data according to a fixed schedule, often preset manually by a user. Because of its popularity and high accessibility, the smartphone has not only become an effective terminal in personal data collection, but also a gateway connecting wearable devices and gathering various types of personal data from these wearables. In this paper, we discuss the potential trends and related challenges from smart things, smart spaces to smart hyperspaces toward the smart world with ubiquitous intelligence.ĭue to the prevalence of smartphones and various wearable devices, the collection of rich personal data that can be used for human activity recognition, user modeling and personalized services has become feasible. The next research phase to emerge, we believe, is to coordinate these diverse smart objects and integrate these isolated smart spaces together into a higher level of spaces known as smart hyperspace or hyper-environments, and eventually create the smart world. Our world would evolve towards a smart world mainly characterized by ubiquitous intelligence and filled with these smart u-things falling into three categories smart object, smart space and smart system. Based on the soon available ubiquitous networking infrastructures and services, such ordinary u-things surrounding us are capable of computing, communicating, connecting or being connected, and behaving smartly with some intelligence. $('#previewModal').on('hidden.bs.In the ubicomp/percomp era, more ubiquitous computation/information/service would be the main driving force, and the corresponding essential element would be the various smart/intelligent ubiquitous things or u-things with attached/embedded/blended computers.
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