A K-Means Clustering Based Message Forwarding Model for Internet of Things (IoT)

Abstract

Internet of Things (IoT) is establishing to be the next stage of Internet resulting in a relation between internet connection data generating smart objects. IoT is understood as a seamless interconnection of sensor objects with the computational world. Clustering these objects is very helpful for data analytics generating a combination of structure of similar types of object characteristics. Clustering, therefore, is very useful in IoT for improving the Quality of Service (QoS) and organizing the resources. In this work, a K-Means clustering based resource allocation model for IoT has been discussed. The performance has been evaluated primarily for the response time realized for transmission of a message from the source to the destination. Simulation study reveals the effectiveness of the model.