Data Delivery from WSNs to Cloud Based on a Fog Structure
Jiandian Zeng, Tian Wang, Yongxuan Lai, Junbin Liang, Hongyu Chen · 2016
Recent years, with the emerging technology of cloud computing, the powerful computing and storage capability of cloud computing injects new vitality into wireless sensor networks (WSNs) and motivates a series of new applications. However, the data delivery from WSNs to Cloud becomes a bottleneck because of the poor communication ability of WSNs, especially for delay-sensitive applications, which limits their further development and applications. To address this problem, we propose a fog structure which composes of multiple mobile sinks. Mobile sinks act as fog nodes to bridge the gap between WSNs and Cloud. They cooperate with each other to set up a multi-input multi-output (MIMO) network, aiming at maximizing the throughput and minimizing the transmission latency. The problem is proved to be NP-hard and we design an approximation algorithm to solve this problem with several provable properties. We compare our method to several traditional solutions. Extensive experimental results suggest that the proposed method significantly outperforms the traditional solutions.