Abstract
To overcome the limitations of traditional data collection methods in large-scale farmland wireless sensor network, in this study, we introduce a mobile sink and propose a virtual potential field-based strategy for mobile sink path planning. Virtual potential field-based strategy constructs a virtual field based on the residual energy, data generation rate, location information and cache urgency of nodes in the monitoring area. The stronger the virtual field, the more attractive it will be to mobile sink, which consequently affects the mobile path of sink node. Rendezvous points are selected in accordance with the maximum-farthest criterion, and the shortest path connecting all rendezvous points is taken as the mobile path of sink. Furthermore, the monitoring nodes employ the distance probability transmission strategy to have the transmission moment selected and the energy consumption optimized with reference to the path control information sent by the sink. The virtual potential fields and the rendezvous points are recalculated periodically according to the dynamic changes of both the node residual energy and the real-time cache. The simulation results showed that excellent transmission efficiency and network lifetime, and the combination of virtual potential field-based strategy and distance probability transmission strategy can have the fairness and real time of nodes guaranteed, thus it may meet the needs of large-scale farmland data collection.
Highlights
As the link between the physical world and the information world, wireless sensor networks (WSNs) may realize the digitization of analog data, greatly increases the range and accuracy of cognitive ability of human beings, that is why it has been widely used in industries, agriculture, medical treatment, military and other fields
Intelligent reflector and rechargeable nodes[4] have been introduced, which provide us with many solutions for optimizing the WSN energy consumption management
Under the aforementioned network assumptions and scenarios, the aim of the current study is to design an effective sink mobile path that cooperates with the node routing strategy, reduces the energy consumption of nodes, and improves the network lifetime and energy balance to meet the needs of large-scale farmland WSN applications
Summary
As the link between the physical world and the information world, wireless sensor networks (WSNs) may realize the digitization of analog data, greatly increases the range and accuracy of cognitive ability of human beings, that is why it has been widely used in industries, agriculture, medical treatment, military and other fields. In order to fulfil the node transmission requirements and to account for the access flexibility and network fairness, in this study, a dynamic RP selection criterion based on node status is developed to improve the data collection performance of farmland WSNs by continuously rotating the RPs. Scenario assumptions and parameter descriptions
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