Abstract:

We analyze the ways that nodes pass information in opportunity networks on mobile medical big data platform. By covering all the nearby nodes and comparing the data of each pair of nearby nodes, the optimal matching method is used to select the adjacent nodes with the optimal matching results as the nexthop nodes, thus finding a path of forwarding the data efficiently. Based on the aforementioned process, we put forward a depth optimal matching algorithm in opportunistic network forwarding mechanism on mobile medical big data platform, called the Depth Optimal Matching (DOM) algorithm. It is used to match the data between the nodes in order to find a path that can forward data efficiently. Experimental results show that compared with classical algorithms in opportunistic networks, the DOM algorithm can reduce the redundant data in the process of data transmission and improve the successful transmission rate significantly.

Key words: mobile medical;big data;opportunistic network;depth optimal matching