Research On Node Scheduling Approaches For Low-Duty-Cycle Wireless Sensor Networks

Wireless Sensor Networks(WSN)is a new technology emerging in recent years.Its emergence is based on the gradual maturity of various technologies including sensors,wireless communication,and microcomputer telecommunication.Generally,existing sensor nodes are powered by batteries to maximally improve network utilization,so as to reduce the energy loss.By adopting the low-duty-cycle working mode that consumes low energy,scientific researchers realize the data transmission under the premise of low speed data traffic,and therefore a novel sensor network is proposed.Although the reduced duty cycle of nodes can improve the energy efficiency of the network,deficiencies are obvious,and this includes the increase in end-to-end data latency(sleep delay and event monitoring delay).For many sensor network applications,on the one hand,low data traffic requires nodes to work in a low duty cycle mode.On the other hand,the constraint of data delay also expects the nodes to have a higher duty cycle.Therefore,how to realize the tradeoff between data delay and energy efficiency in low duty cycle sensor network gradually becomes an important and challenging research.In this paper,several node scheduling algorithms with low duty cycle that have been proposed in recent years were studied,and an improved algorithm is proposed based on the node scheduling algorithm that with energy balance consumption without position information.We mainly improve the wake-up slot allocation strategy,and dynamic node dormancy control from the premise of ensuring link quality.The main work is as follows:First,the theories and algorithms related to low duty-cycle networks and their node scheduling algorithms are studied in depth,with emphasis on the study of node dormancy scheduling algorithms without location information and node energy balance consumption strategies,and improvements are made to address the shortcomings found in the study.Secondly,provide a weighting algorithm in wireless sensor network based on adaptive sleep mechanism to improve the performance of the entire network.By introducing weights,a balance between the latency of the transmission and the weight of the data importance measurement is allowed.After taking into account the redundant coverage generated by neighboring nodes,under the premise that the network coverage is guaranteed,the algorithm reduces the latency while prioritizing the delivery of important data.Thirdly,a node dormancy scheduling algorithm for balancing network load is proposed,based on energy awareness as well as the basic theory of the algorithm based on the number of neighbor nodes.Based on the remaining energy of nodes and node redundancy rate,it dynamically increases the wakeup time slot when certain delay requirements are met,which minimizes the energy consumption while achieving the purpose of sleep delay reduction and improves the overall performance of the network.