Distributed Dynamic Clustering in Wireless Networks with Capacity Constraint and Concealed Data

There are correlations of data in adjacent nodes in wireless sensor networks (WSNs), Internet of Things (IoT) and so on. Compression based on clustering is an effective way to reduce the communication cost and save the energy. Comparing with former schemes that are centrally controlled, a distributed dynamic clustering scheme is presented in this paper, with which the network can be partitioned to clusters adaptive to the topology and according to the local knowledge, to assure better energy property. This method also considers the capacity constraint in practical networks and the applications with concealed data. Analyses and simulations verify that the proposed scheme has higher efficiency and better practicability.