12 results about "Sleep scheduling" patented technology

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 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.

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.

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.

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.