A Progressive Search Paradigm for the Internet of Things
Huadóng Ma, Wu Liu · IEEE Multimedia · 2017
As the Internet of Things (IoT) expands, IoT search has tremendous potential applications but also presents many challenges. To solve these challenges, we propose a progressive search paradigm to reduce the search space that has three main strategies: coarse-to-fine search in the feature space, near-to-distant search in the spatial-temporal space, and low-to-high permission search in the security space. Two case studies from a multimedia-based urban sensing network demonstrate that our approach can significantly improve IoT search speed and accuracy.