A Progressive Search Paradigm for the Internet of Things

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.