Distributed DBSCAN Protocol for Energy Saving in IoT Networks

International audience Sensor Networks form a crucial topic in research, as it seems to target a huge variety of uses in which it could be applied, such as healthcare, smart cities, environment monitoring, military, industrial automation, and smart grids. The clustering algorithms represent an essential factor in conserving power within energy-constrained networks. The selection of a cluster head balances the energy load within the network in a proper way, eventually contributing to the reduction of energy consumed, as well as the enhancement of network lifespan. This paper introduced a distributed DBSCAN protocol for saving the energy of Sensor devices in IoT Networks. This protocol is implemented on each IoT sensor device and the devices apply the DBSCAN algorithm to partition the network into clusters in a distributed way. The efficient periodic cluster head strategy is proposed based on certain criteria like remaining energy, number of neighbors, and the distance for each node in the cluster. The cluster head will be chosen in a periodic and distributed way to consume the power in a balanced way in the IoT sensor devices inside each cluster. The comparison results confirm that our protocol can conserve power and enhance the power conservation of the network better than other approaches.