| Wireless sensor networks(WSNs)play an extremely important role in smart grid monitoring.They can effectively detect the operating status of power facilities for a long time,and provide early warning and location of faults in transmission lines to provide a guarantee for the safe and stable operation of smart grids.However,due to the limited resources such as energy and storage capacity of wireless sensor network nodes,some nodes need to forward a large amount of information from other nodes,leading to excessive energy consumption,resulting in energy holes or data overflow problems.As a result,burst data such as faults or abnormal information in the smart grid cannot be uploaded and alerted in time,which reduces the monitoring performance of the smart grid.Eventually,affect the safety of the grid operation.To ensure the effective transmission of burst data in the smart grid in wireless sensor networks,mobile sinks are usually used to collect data to balance the energy consumption and loads of nodes,avoid energy holes and prevent data overflow,and extend the life of the network.On this basis,this paper studies the mobile data collection strategies of wireless sensor networks for smart grid monitoring.Combining the characteristics of the monitored smart grid data,mobile collection of burst data and general data in the grid are carried out to reduce the energy consumption of network nodes,extend the life cycle of sensor networks and ensure a higher acceptance rate of burst data.The main work of this paper is as follows:(1)Aiming at the large-scale deployment of WSNs in smart grids and the imbalance of node energy consumption,a trajectory planning algorithm(MTDH)for multi-mobile sinks based on double-cluster head competition selection and clustering is proposed.Firstly,the algorithm selects the main cluster head and performs clustering based on the competition radius.Secondly,determine the value of the nodes in the cluster to select the secondary cluster head.Then merge the cluster set into multiple cluster regions.Finally,the sink node plans a moving path according to the sub-cluster head in each area.Through simulation experiments,the MTDH algorithm is compared with the sink movement trajectory of the algorithms EGRPM,MECA,and EEDD.The MTDH algorithm can effectively balance the mobile collection load of the sink,reduce network energy consumption,and extend network service life.(2)Aiming at the problem of general data movement collection in strip network space scenarios similar to overhead transmission lines,the general data movement collection strategy(GDCS)is proposed.This strategy selects the final relay node as the transmission target to ensure that general data can be sent to the sink under limited delay in the case of non-converged data collection.Then,the data transmission path is determined according to the local balanced minimum reliable spanning tree construction algorithm to further balance the energy consumption of node transmission.Through simulation experiments,it compares with existing algorithms NOBBA and MDC.Experiments show that the GDCS strategy reduces the energy consumption of nodes and reduces the packet loss rate while reducing the burden of relay nodes.(3)Aiming at the burst data monitored by the smart grid to ensure the timeliness and reliability of burst data transmission,an instant multi-hop routing strategy(MSBDC)based on the preemption and avoidance mechanism is proposed.Comprehensive analysis of the preemption and avoidance relationship between burst data and between burst data and general data,preemptive selection of the next-hop node of burst data,and optimization of the data transmission path.Compared with the existing algorithms EGRPM,MECA,EEDD,the simulation results show that the proposed MSBDC strategy obtains a higher burst data acceptance rate,while effectively prolonging the life of the network.Finally,the goal of reliable and real-time data transmission in smart grid communication is achieved. |
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