Abstract: A non-uniform clustering model based on energy harvesting is proposed for the “hot zone” problem in oil and gas IoT( Internet of Things). The model takes into account the residual energy of nodes, the distance between nodes and base stations, the density of neighboring nodes and the distance between nodes and RF (Radio Frequency) signal sources when setting the node competition radius. It improves the non-uniform cluster formation effect, elects double cluster heads to balance the energy consumption of cluster heads, uses multi-hop routing in the data transmission stage to balance the energy consumption of the network, and introduces wireless energy harvesting technology to extend the network lifetime. The simulation results show that this algorithm can more effectively balance the network energy consumption and extend the network lifetime compared to the traditional algorithm.

Key words: oil and gas internet of things, non-uniform clustering, dual cluster head, multi-hop routing, energy harvesting