Internet of Drones (IoD) is a new area which is based on incorporation of social networks into Internet of Things (IoT). In near future the social network of IoT devices is expected to be highly convoluted due to the exponential growth of heterogeneous smart devices. Searching the right objects and services in optimal time through best path will be a challenging task. Information searching techniques in IoD need efficient schemes and innovative research. The Small World phenomenon reveals some alluring facts and has been motivating many researchers to understand the behavior of social networks. Inspired by information searching mechanisms in drone networks, an information searching algorithm which exploits rating of services in IoD, is proposed in this work. Results show that the proposed information searching algorithm proves to be efficient with its mean execution time not over than 2.5 ms on two different machines.

无人机互联网（IoD）是一个新领域，其基础是将社交网络纳入物联网（IoT）。由于异构智能设备的指数级增长，预计在不久的将来物联网设备的社交网络将高度混乱。在最佳时间内通过最佳路径搜索正确的对象和服务将是一项艰巨的任务。IoD中的信息搜索技术需要有效的方案和创新的研究。“小世界”现象揭示了一些诱人的事实，并一直在激励着许多研究人员了解社交网络的行为。在无人机网络信息搜索机制的启发下，提出了一种利用IoD中服务等级的信息搜索算法。