A novel class based searching algorithm in small world internet of drone network

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.