An Approach for Managing the Objects in the Internet of Things Using Swarm Intelligence

Nowadays the Internet of Things as a new generation of internet and a network that connects everything is highly regarded. There are a large number of devices on the IoT, as well as a high level of heterogeneity that exists between these devices poses challenges, more than ever. One of the most important issues in the IoT in the area of data management is cost reduction of the search. In this regard, clustering objects are considered as a potential solution where in that process, objects with the same action or data content stay on a cluster. In this study, an approach is offered for clustering objects in the IoT environment, with inspiration from the behavior of ants which is called swarm intelligence. Due to the high scalability and distributed nature of ant clustering algorithm (for instance its ability to self-organize), the proposed approach is adapted to the problem. In regards to runtime and accuracy, the results show that the proposed approach functions well, and also it has a high scalability against increasing of the issue's magnitudes.