Cluster Head Selection Algorithm for UAV Assisted Clustered IoT Network
LIN Xinhua, ZHANG Jing, LI Qiang
(Huazhong University of Science and Technology, Wuhan 430074, China)
To guarantee the security of Internet of Things (IoT) devices, the blockchain technology is often applied to clustered IoT networks. However, cluster heads (CHs) need to undertake additional control tasks. For battery-powered IoT devices, the conventional CH selection algorithm is limited. Based on the above problem, an unmanned aerial vehicle (UAV) network assisted clustered IoT system is proposed, and a corresponding UAV CH selection algorithm is designed. In this scheme, UAVs are selected as CHs to serve IoT clusters. The proposed CH selection algorithm considers the maximal transmit power, residual energy and distance information of UAVs, which can greatly extend the working life of IoT clusters. Through Monte Carlo simulation, the key performance indexes of the system, including energy consumption, average secrecy rate and the maximal number of data packets received by the base station (BS), are evaluated. The simulation results show that the proposed algorithm has great advantages compared with the existing CH selection algorithms.
cluster head selection; unmanned aerial vehicle; blockchain; IoT; average secrecy rate