Energy-Efficient Routing Algorithm for Oil and Gas IoT Based on Dual Cluster Heads
To extend the lifetime of oil and gas IoT(Internet of Things),a dual cluster head based oil and gas IoT routing algorithm is proposed.The algorithm fully considers the current residual energy of sensor nodes,historical average energy,distance between nodes and base stations,density of neighboring nodes and distance between nodes and energy harvesting sources in the cluster head election process,and elects dual cluster heads in the same cluster,while proposes a novel routing method to balance the energy consumption of cluster heads in the data transmission phase.A novel node working mode switching strategy is adopted along with the introduction of energy harvesting techniques.Simulation experiments show that the algorithm can balance the network energy consumption more effectively and extend the network lifetime compared with the traditional algorithm.
oil and gas internet of things(IoT)historical average energydual cluster headrouting algorithmenergy harvesting
国家科技期刊平台
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