建立以肢體感測網路為基礎之虛擬社群應用服務平台

Abstract

近來社群網路吸引了許多關注，以及許多的身體資訊可以使用無線感測網路擷取。此篇論文將肢體感測網路與社群網路結合，與傳統的社群網路相比，提供更多的使用者之間的肢體互動。我們提出一個創新的肢體感測網路為基礎之虛擬社群應用服務平台。在此平台上，我們設計了以肢體感測網路為基礎之應用程式介面，可以幫助開發者在社群平台上設計更多有趣的以肢體感測網路為基礎之服務，並且我們使用了這些應用程式介面開發了一些應用。基於會有更多的應用會在我們的平台上開發，由於肢體無線網路頻寬有限，傳統的資料收集協定不能提供高解析度的感測資料。所以在此平台上，我們設計了一個資料收集協定，依照感測器的資料分配每個感測器的重要性，再依照不同的重要性來收集感測器資料，而此協定不需知道上層的應用。最後，我們在Facebook實作了此平台，以及在實驗中，研究我們設計的資料收集協定的效能。

Web-based social networks have attracted a lot of attention. While more physical information can be captured by wireless sensor networks, this paper incorporates remote body sensor networks (BSNs) into such web-based social networks to provide more physical interaction between users than conventional social networks. An innovative interactive virtual-physical social network platform is proposed in this work. In our platform, we design a set of BSN-based APIs to help developers design more interesting BSN-based services on social networks. By adopting these APIs, some applications are designed in our platform. Since various BSN-based applications will be built on our platform, conventional data collection protocols can not provide high-resolution sensing data in a limited bandwidth BSN. We then design a data collection protocol for BSNs in our platform, where the weights (i.e., importance) of sensor nodes are assigned dynamically based on the distribution of sensing data and BSNs do not need to know what applications will be provided in the upper-layer social networks. Finally, we implement our platform on Facebook and show experimental results to investigate the performance of our data collection protocols.