Abstract: The energy limitation of sensor nodes is the key factor to restrict the performance of the oil and gas pipeline Internet of things. The end-to-end delay of the network determines the response time of the oil and gas pipeline Internet of things to pipeline accidents. For solving the problems of energy limitation and end-to-end delay, the pipeline internet of things wireless routing algorithm based on multi-object optimization is proposed. It can realize the energy balance of the Internet of things by taking the remaining energy of nodes and the distance between nodes and aggregation nodesas the index of selecting candidate forwarding nodes. The end-to-end delay of the network is reduced by decreasing the number of data transmission hops. The simulation results show that the routing algorithm can effectively improve the network performance by extending the network life and reducing the network delay compared to the classical opportunistic routing algorithm.

Key words: Internet of things, low end-to-end delay, routing algorithm