23 results about "Sleep scheduling" patented technology

The invention provides a sleep scheduling method and a related device, the method is applied to a terminal device, and the method comprises the following steps: after first service data is transmitted through a wireless communication system (such as a wireless fidelity Wi-Fi system) and a network device, the wireless communication system is dormant and awakened according to a first sleep scheduling strategy, the first sleep scheduling strategy comprises a first duration (comprising at least one first time slice and at least one second time slice), the first time slice and the second time slice in the first duration are alternately performed, and the wireless communication system is in a sleep state in the first time slice and is in a working state (comprising a monitoring state) in the second time slice. For example, the length of the first time slice and / or the second time slice is determined according to the time delay of the service requirement corresponding to the first service data. Therefore, periodical dormancy and monitoring can be carried out based on the time delay requirement of the current service instead of being in a monitoring state all the time, the real-time experience of the service is ensured, and the power consumption is reduced.

The invention relates to the technical field of wireless sensing nodes, and discloses a self-adaptive sleep scheduling method for a wireless sensing node powered by solar energy. According to the method, energy collection data and environmental parameters of a solar cell panel are monitored in real time, an energy prediction model is constructed to generate an energy supply curve, a dynamic sleep time threshold value is calculated according to the energy supply curve and task load priority weight, a multi-stage sleep mode is generated through a fuzzy decision rule, and time-sharing sleep scheduling of communication, sensors and calculation modules is achieved. Meanwhile, a sleep mode can be switched by detecting the emergency degree change of a task queue, an emergency scheduling strategy is started and a standby power supply is activated when energy is insufficient, and data can be recorded to update model parameters to realize self-optimization iteration. According to the method, the energy utilization efficiency and the working stability of the wireless sensing node are improved, and the problems of unstable solar energy supply and unreasonable task scheduling are effectively solved.

Provided in the present application are a sleep scheduling method and a related apparatus. The method is applied to a terminal device. The method comprises: after first service data is transmitted by means of a wireless communication system (e.g., a wireless fidelity (Wi-Fi) system) and a network device, the wireless communication system sleeping and waking up according to a first sleep scheduling policy, wherein the first sleep scheduling policy comprises a first duration (comprising at least one first time slice and at least one second time slice), the first time slice and the second time slice in the first duration alternate, and the wireless communication system is in a sleep state in the first time slice and is in an operating state (comprising a monitoring state) in the second time slice. For example, the length of the first time slice and / or the length of the second time slice are / is determined on the basis of the latency of a service requirement corresponding to the first service data. Therefore, the system can sleep and perform monitoring periodically on the basis of a latency requirement of the current service instead of always staying in the monitoring state, thereby ensuring the real-time experience of services, and also reducing the power consumption.

The invention discloses an intelligent sleep-aiding decision-making method and system based on data analysis. The method comprises the following steps: training a generation model of a sleep state trajectory based on a generative adversarial network (CGAN); according to the personal state representation of the user and the predetermined duration of the sleep cabin, generating a personalized sleep state track by using the trained CGAN model, and controlling the environment operation of the sleep cabin; in the sleep process, the physiological state and sleep environment parameters of the user are monitored in real time and compared with the generated sleep state track, and when the deviation exceeds the preset condition, the optimized sleep plan is regenerated. The invention provides a personalized and dynamic intelligent sleep-aiding decision-making method, the optimal sleep scheme can be customized according to the specific requirements and conditions of the user, and the sleep-aiding effect and the user experience are remarkably improved.

This invention provides an energy-saving clustering routing method for wireless sensor networks based on improved multi-target ant colony optimization, comprising: Step 1, initialization; Step 2, determining the set of active sensor nodes in the current round; Step 3, completing network clustering; Step 4, maintaining the Pareto optimal path solution set; Step 5, repeating steps 2 to 4 until the maximum number of iterations is reached or the solution set converges, outputting the Pareto optimal path solution set as the routing scheme for network data transmission. This invention improves network energy efficiency and extends network lifetime by constructing a globally collaborative energy management framework that integrates sleep scheduling, cluster head election, and routing optimization, while ensuring the real-time performance and reliability of data transmission.

The invention discloses an aviation obstruction beacon synchronous control method and system in a wind power scene, and the method comprises the steps: dividing aviation obstruction beacons into main aviation obstruction beacons and auxiliary aviation obstruction beacons based on the coverage range of the aviation obstruction beacons, and connecting the aviation obstruction beacons with a main control module through employing a double-link communication architecture; determining communication time among the main control module, the main aviation obstruction beacon and the auxiliary aviation obstruction beacon based on the clock correction frame, and constructing a path matrix; and monitoring communication connection of the main aviation obstruction beacon and synchronization conditions of the main and auxiliary aviation obstruction beacons based on the path matrix, and realizing dormancy scheduling of the aviation obstruction beacons. According to the invention, stable connection of the aviation obstruction beacon is realized by adopting a double-link communication architecture; the construction of the path matrix is more beneficial to management of the communication time of the aviation obstruction beacon, and faults can be found as soon as possible; the main and auxiliary aviation obstruction lights are managed in a classified manner to prolong the stable operation time of the system and ensure the synchronous execution of instructions.

The invention relates to the technical field of 5G communication network construction and optical transmission, in particular to a 5G base station backhaul energy-saving layout method based on a scheduling optimization and protection mechanism, and the method comprises the steps: setting parameters and decision variables, calculating the total energy consumption, time delay penalty, reliability penalty and switching and awakening cost of an optical module at the moment; obtaining a performance value of the current solution; and calculating the link utilization rate, the time delay margin, the service priority and the cell active state of the optical module, obtaining an auxiliary judgment index, and randomly adjusting the on-off state of the optical module and the path distribution of the service until the constraint is met. Recalculating the total energy consumption, the time delay penalty, the reliability penalty and the switching and awakening cost of the optical module, and obtaining a performance value of a new solution; and taking a simulated annealing algorithm as a solving framework, judging whether a new solution is accepted, continuously updating the temperature and iterating until the maximum number of operation rounds is reached, and forming a final optical module sleep scheduling and protection scheme. According to the invention, the balance between energy consumption reduction and service quality guarantee can be realized.

A method for sleep mode power saving in Layer 1 and Radio Unit devices, comprising: in response to no user equipment being determined to be actively connected to a cell, facilitating, by a device comprising a processor, a change in communication scheduling of a physical layer device associated with a cell of a communication network from an active scheduling to a sleep scheduling, wherein the sleep schedule is repeated at periodic intervals and includes active time slots and inactive time slots. The method further includes, in response to the facilitation of the change, scheduling, by the device, transmission of a network connection message by the physical layer device during an active slot of the active slots, and deactivating, by the device, the physical layer device during an inactive slot of the inactive slots.

The application discloses a low-duty-cycle sensor network data collection method based on a mobile robot, which comprises the following steps: S1, network initialization; S2, when each node forwards data, determining to adopt a static sink routing mode or a cluster node routing mode; S3, a sensor network node determines a data fusion waiting time: after the node senses or receives data, waiting for a certain time, fusing multiple data packets that arrive, reducing the number of data forwarding times and reducing energy consumption; S4, according to the data sending mode determined in the step S2, a sensor network node selects a next hop routing node for data forwarding, and forwards data; and S5, when the mobile robot passes through the cluster node, the cluster node sends the buffered data to the mobile robot. Through dynamic selection of a data sending mode, a data fusion technology and a cluster node sleep scheduling mechanism, the application realizes the guarantee of a mobile data collection delay performance and the improvement of data collection energy efficiency of the robot under the working scene of uncontrolled movement and low-duty-cycle nodes.

The invention provides a self-adaptive sleep scheduling method for a communication terminal, which takes'service priority, dynamic adaptation and collaborative energy conservation 'as a core design concept and constructs a full-process closed-loop technical scheme of'state acquisition, energy efficiency calculation, threshold decision, strategy execution and loop optimization'. The energy consumption urgency degree is quantized through multi-dimensional state perception, the dynamic threshold value is matched with the power grid service change, multi-link collaborative scheduling is balanced, energy conservation and reliability are achieved, and finally the purposes that key services are not interrupted, and non-key services are low in energy consumption are achieved.

A computer system operates in a first mode during a first scheduled sleep time period of an active sleep schedule. When the current time is no longer within the first scheduled sleep period of the active sleep schedule, the computer system generates a first notification corresponding to the end of the first scheduled sleep time period of the active sleep schedule, and configures the computer system to operate a second mode that is different from the first mode. The computer system then generates a second notification, different from the first notification, that includes information corresponding to how consistently a user of the computer system met a pre-established sleep goal corresponding to the active sleep schedule for a threshold number of days.

The application relates to the fields of 5G communication network construction and optical transmission technology, in particular to a 5G base station site backhaul energy-saving layout method based on scheduling optimization and protection mechanism, which comprises setting parameters and decision variables, calculating total energy consumption, time delay penalty, reliability penalty and switching and awakening cost of an optical module at the moment, and obtaining a performance value of a current solution; calculating link utilization rate, time delay margin, service priority and cell active state of the optical module and obtaining auxiliary judgment indexes, randomly adjusting the on-off state of the optical module and the path allocation of services until the constraints are met, recalculating the total energy consumption, time delay penalty, reliability penalty and switching and awakening cost of the optical module and obtaining a performance value of a new solution; taking a simulated annealing algorithm as a solving framework, judging whether to accept the new solution, constantly updating the temperature and iterating until the maximum running number is reached, and forming a final optical module sleep scheduling and protection scheme. The application can realize the balance between energy consumption reduction and service quality guarantee.

The application discloses a kind of distributed unmanned self-organizing network full node information synchronization methods based on time-sharing activation scheduling, it belongs to wireless communication technical field.The application solves the problem of large communication overhead and low synchronization efficiency of traditional node information synchronization method.The application utilizes effective time division to form strict working time sequence, to ensure that node is controlled flooding in the process of broadcast propagation, utilizes time sequence division and the distributed activation, sleep scheduling rule of node, significantly reduces network overhead.Add the information of the node in the process of design node propagation forwarding message, so that the flooding message originally carries the full information of source node and routing node, makes full use of packet resources;Design the distributed activation, sleep strategy of node, utilize the information of other nodes from flooding message stored in node, in each time sequence with distributed mode control node activation or sleep, unnecessary node in sleep time sequence.The method of the application can be applied to full node information synchronization in network.

The application discloses a sleep scheduling method and device of a three-dimensional heterogeneous rechargeable wireless sensor network, and the method comprises the following steps: constructing a first target function of maximizing k-fold coverage quality in a monitoring period; decomposing the first target function to obtain a second target function of maximizing k-fold coverage quality of a single time slot and a third target function of minimizing energy compensation of a charging period; grouping each network node through a distributed iterative grouping algorithm according to the second target function, and distributing each group to each time slot in a time slot group in a cyclic manner; and scheduling a first target node of the time slot group through an adaptive sampling method according to the third target function to obtain a three-dimensional heterogeneous rechargeable wireless sensor network with maximized k-fold coverage quality. The application can improve the continuous k-fold coverage quality of the three-dimensional heterogeneous rechargeable wireless sensor network, and can be widely applied in the technical field of wireless sensor networks.

This application discloses a sleep scheduling method and a device. The method may be applied to a distributed system including a first device, a second device, and a third device. The method includes: The first device determines, based on first scenario information, that a first service arrives, generates second sleep and wake-up information based on the first scenario information and first sleep and wake-up information, and updates the second sleep and wake-up information to a sleep and wake-up scheduling table, where the first sleep and wake-up information indicates a current sleep and wake-up status of the first device in each time slice in a sleep scheduling period, and the second sleep and wake-up information indicates a sleep and wake-up status that needs to be met in each time slice in the sleep scheduling period when the first device performs a service including the first service.

The invention provides a DAS (Distributed Antenna System) remote unit sleep scheduling system and method based on multi-sensor fusion, relates to the technical field of distributed antenna system DAS control, and solves the problems of high energy consumption of an RU (Remote Unit) in a DAS and defects of an existing sleep scheduling scheme. According to the method, multi-modal environment data of a DAS coverage area are collected in real time, multi-modal key features in the multi-modal environment data are extracted, and after the multi-modal key features are input into a fusion judgment model subjected to offline training, the current activity state of the DAS coverage area is judged; according to the activity state judgment values of the past multiple time slots, the time sequence prediction model is adopted to predict and output the activity state judgment values of the future multiple time slots, then a scheduling decision result is made, and a sleep instruction or a wake-up instruction for the RU in the DAS system is generated and issued. According to the invention, the energy efficiency of the DAS system can be obviously improved, and the optimal balance between the network coverage quality and the energy-saving effect is realized while the non-inductive switching experience of the user is ensured.

The invention discloses an ad hoc network wireless control method and system based on dynamic routing and dormancy scheduling, and belongs to the technical field of wireless control systems. A power-on node realizes communication with a root node through broadcast transmission of a network access request packet so as to quickly establish a data transmission path structure; a sleep scheduling mechanism is introduced to set a sleep mode and an active mode for the terminal nodes and the relay nodes, so that the terminal nodes are ensured to be in the sleep mode in most time, the power consumption of each terminal node is effectively reduced, the normal service life of each terminal node is prolonged, and the stable communication work of the wireless control system is realized. Moreover, through real-time calculation of the current node metric value of each power-on node, the response speed of the wireless control system to the fault node is improved, and then data transmission path structure updating is performed on each power-on node by using the current node metric value and the routing dynamic maintenance strategy. Therefore, the capability of a wireless control system to deal with node faults is improved.

The present application discloses a sleep scheduling method and device, which can be used in a distributed system including a first device, a second device and a third device. The method includes: the first device determines that a first service is coming according to first scenario information, generates second sleep wake-up information according to the first scenario information and the first sleep wake-up information, and updates the second sleep wake-up information to a sleep wake-up scheduling table. The first sleep wake-up information is used to indicate the sleep wake-up status of the first device on each time slice in the current sleep scheduling period. The second sleep wake-up information is used to indicate the sleep wake-up status on each time slice in the sleep scheduling period that needs to be met when the first device performs services including the first service. In the present application, when each device sends and receives services based on the sleep wake-up scheduling table, the power consumption of each device can be saved as much as possible without affecting the normal service interaction of each device.

1. The name of the design product: sleep information display graphical user interface of electronic device and its main body. 2. The use of the design product: an electronic device. 3. The design points of the design product: the part of the graphical user interface in the electronic device. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface is used for sleep information display. The part of the graphical user interface that is protected is used for sleep information display. 7. The human-computer interaction mode of the graphical user interface: in design 1 and design 2, the user can change the sleep plan by touching or clicking the change label in the graphical user interface. 8. Other circumstances that need to be explained: the part of the graphical user interface shown by the dashed line in the front view of design 2 does not constitute the part protected by the design.

The application provides a sleep-wake scheduling method for linear wireless sensor networks, and relates to the field of wireless sensors. The method first flexibly adjusts the duty cycle of the node by analyzing the initial position of the node, the distance relative to the base station and the current residual energy when the linear wireless sensor network is running; determines the depth of the node according to the initial position of the node, and embeds the energy information of the node into the data packet for exchange when the linear wireless sensor network is running, so as to realize real-time global planning and sleep scheduling of the corresponding depth. The sleep-wake scheduling method for linear wireless sensor networks provided by the application adopts a novel scheduling method based on node energy and depth, instead of the traditional MAC layer protocol, and through the introduction of the consideration of energy and depth, the duty cycle of the global node can be more accurately and flexibly controlled.

The invention discloses a distributed unmanned ad hoc network full-node information synchronization method based on time-sharing activation scheduling, and belongs to the technical field of wireless communication. According to the invention, the problems of high communication overhead and low synchronization efficiency of the traditional node information synchronization method are solved. According to the method, a strict working time sequence is formed by utilizing effective time division, the nodes are ensured to be subjected to controlled flooding in the broadcast propagation process, and the network overhead is remarkably reduced by utilizing time sequence division and distributed activation and sleep scheduling rules of the nodes. Node information is added in a node propagation forwarding message process, so that an original flooding message carries all information of a source node and a routing node, and data packet resources are fully utilized; a distributed activation and dormancy strategy of the nodes is designed, and the nodes are controlled to be activated or dormant in a distributed mode at each time sequence by using information, from other nodes in a flooding message, stored by the nodes, and unnecessary nodes in the time sequences are dormant. The method provided by the invention can be applied to full-node information synchronization in a network.

The invention discloses a low-duty-ratio sensor network data collection method based on a mobile robot. The method comprises the following steps: S1, initializing a network; s2, when each node forwards data, determining to adopt a static sink routing mode or an aggregation node routing mode; s3, the sensor network node determines data fusion waiting time: after sensing or receiving the data, the node waits for a certain time, a plurality of arrived data messages are fused, the data forwarding frequency is reduced, and the energy consumption is reduced; s4, according to the data sending mode determined in the step S2, the sensor network node selects a next-hop routing node for data forwarding to forward data; and S5, when the mobile robot passes through the aggregation node, the aggregation node sends the cached data to the mobile robot. According to the invention, by dynamically selecting a data sending mode, a data fusion technology and an aggregation node sleep scheduling mechanism, the guarantee of mobile data collection time delay performance and the improvement of data collection energy efficiency of the robot under the working scenes of uncontrolled movement and low duty ratio of nodes are realized.

This invention discloses a multi-sensor terminal energy consumption optimization method based on sleep scheduling, belonging to the field of wireless communication and sensor technology. The method includes: a dynamic fuzzy clustering step, extracting multi-dimensional feature indicators of the sensing terminals, performing fuzzy clustering in an equal-weighted manner after standardization; a data aggregation step, where cluster heads perform preliminary data aggregation and transmit it to edge computing terminals, calculating a comprehensive score using entropy weighting and electing a cluster leader; and a sleep scheduling step, dividing energy levels according to remaining energy to correspond to different fixed sleep cycles. Sensing terminals calculate competition priority based on the ratio of coverage to net remaining energy and start countdown monitoring. If the coverage requirement is met, the terminal enters sleep mode; otherwise, it operates, and differentiated scheduling is implemented for edge computing terminals. The above three steps are repeated to form a closed-loop optimization. This invention, through a three-level linkage architecture of clustering, aggregation, and scheduling, effectively extends the network lifetime, balances node energy consumption, and reduces signaling overhead.