62 results about "Sleep scheduling" patented technology

This invention relates to a method of flowing of wireless sensor networks Adaptive Channel Access control, being the same with multi-hop wireless sensor networks. When the network initializes, at first synchronization formed virtual cluster between nodes, each node adopting cyclical interception sleep mechanism to reduce the consumption of energy nodes as much as possible in the state. In the same virtual cluster, remained an interception sleep scheduling between the nodes, started interception at the same time. Sending and receiving data between nodes adopt RTS / CTS / DATA / ACK mechanism for reliable transmission, but also according to its own queue in the packet predict the number of network traffic changes, adaptive duty cycle adjust, reduce packet transmission time. At the same time, Interception is adopted adaptive mechanism to reduce wait delay because of node sleep. The invention of the method in different network traffic circumstances can be lower latency, power consumption and throughput performance has also been some improvement.

The invention provides a method for collecting and routing data in a wireless sensor network and a device thereof. The method comprises a route establishment stage, a sleep scheduling generation stage and a data collection stage, and comprises the following steps: sending out a hello packet by a base station, receiving the hello packet by a node, establishing a neighbor table, and broadcasting the hello packet; broadcasting the hello packet or a route repair packet by the node at random time; updating the neighbor table; monitoring a wireless channel by the node, executing the action to transmit an environmental data packet or update neighbor table information or sending the hello packet according to the type of the received data packets after a neighbor node wakes. In the invention, a sleep cycle of the neighbor node is determined by the difference between the received hello packet and self monitoring time based on an asynchronous sleep scheduling mechanism, thus preventing overhead resulted from time synchronization; and the method can help repair local route during a short time and adaptively repair the problem of failed sending caused by offset accumulation of a timer.

The invention discloses a double-bounce multi-path route method of a wireless sensor network based on the energy collection technology. The wireless sensor network comprises a base station and a plurality of nodes, wherein each node comprises a wireless sensor and an energy collection device for supplementing energy for the wireless sensor. The wireless sensor network is characterized by adopting the following forwarding standard: 1. forwarding by a node nearest to a target node; 2. forwarding by a node with the shortest distance with the target node; and 3. according to distance between nodes, residual energy, energy supplementing rate and consumption rate, forwarding by a node with the optimal effect. The invention has the beneficial effect that a node sleeping scheduling mechanism is led in, and energy is collected from the environment so as to prolong network service life. According to different requirements and environments, the greedy forwarding mechanisms which are based on distance between nodes, shortest path and node energy levels and utilize double-bounce neighborhood node information are designed, and the reliability and the instantaneity of data transmission are given consideration to avoid a routing void.

The invention relates to a wireless sensor network application technology field, discloses a dormant scheduling method for wireless sensor network comprising: timing dormancy, timing wake-up, working clock control, collected data storing, delayed retransmission. The inventive method employs clock module and data memory module on hardware node, integrates dormancy and working of node of wireless sensor network based on time synchronization; node dormancy time is longer than working time to achieve aim of electricity-saving; during node dormancy, communication chip of node is closed, and any activity of node except data collection stops; when node is waken up, communication chip is reopened for communication. The data storage and delayed retransmission ensures reliability of communication. Dormancy-awaking scheduling of node is implemented, energy consumption of node is reduced, which satisfies application demand of wireless sensor network node.

The invention relates to a distributed data transmission method for a power line monitoring system on the basis of a wireless sensor network, which comprises the following steps: 1, a sensor node uses T as a work cycle and on an initiation phase of each cycle and carries out time synchronization with a sink by capturing a beacon; 2, the sensor node exchanges node information with a neighbor by broadcasting so as to determine a node which needs to be subjected to data transmission in the cycle; 3, by sending the communication accessibility and local network energy load balancing between the nodes, a relay node is selected as a relay for data transmission in a distributed mode; 4, the relay node selection phase is initiated and a sensor node without data transmission in the cycle is selected as the relay node; 5, a node which needs to be awakened at the data transmission node is processed in a distributed mode; and 6, a step-shaped data uploading link is adopted to carry out awakening / sleeping scheduling on the node. The distributed data transmission method is applicable to a chain multi-hop network and energy load balancing of the power line monitoring system on the basis of the wireless sensor network.

The invention discloses a target-node-location-oriented dynamic sleep scheduling method in wireless sensor networks. The method comprises the steps of: creating a location tree, picking up wakeup anchor nodes and sleep anchor nodes from the location tree; then notifying the surrounding anchor nodes of the target node of a work mode, so that the target node can effectively keep high anchor node connectivity by dynamic sleep scheduling, location success rate and precision of the target node in wireless sensor networks is guaranteed. The massage passing mechanism is dispatching WAKEUP_MSG massage to anchor nodes in the wakeup nodes collection, to keep the wakeup state and enter a full-attendance working way; and dispatching PRUNE_MSG massage to anchor nodes in the sleep anchor nodes collection, to switch to sleep state and enter a low-consumption working way.

The invention discloses a self-adaptive wireless sensor network routing method based on cross-layer optimization. In a physical layer, an energy supplement and power control mechanism is adopted to transfer energy information and transmitting power parameters of a wireless sensor node in a wireless sensor network to an MAC (media access control) layer; in the MAC layer, the information transferred by the physical layer is utilized to carry out sleep scheduling to regulate network connectivity and a sleep rate; and a network layer adapts to parameter change of each of above layers and adopts a double-bounce greedy path to carry out routing selection. The method achieves an integrative optimization aim of prolonging the service life of the network and improving data transmission reliability and timeliness by utilizing the interaction of the parameter information of each layer of a network; and on the basis of comprehensively considering the energy supplement and power control technology of the physical layer, the sleep scheduling of the MAC layer and the routing of the network layer in a network system structure, the cross-layer design structure applicable to the wireless sensor network is provided, so as to better describe the interaction among all the layers. The overall performance of the wireless sensor network is effectively improved finally.

The invention discloses a coverage keeping method based on sleeping scheduling and coverage compensation. Specifically, a sleeping scheduling method and a coverage compensation method are simultaneously applied to a scheduling mechanism, and therefore the dual goals of efficient energy utilization and coverage rate keeping are achieved. The coverage keeping method based on sleeping scheduling and coverage compensation comprises the following steps that firstly, a node judges whether surrounding adjacent nodes of the node need to move towards the node through estimating the redundancy and residual energy by itself, wherein a concept of absolute redundant node and a concept of relative redundant node are put forward for the first time in the process; secondly, each of the adjacent nodes judges whether to have the ability of moving to a target position; thirdly, the movement ability of the node is accurately judged in the mode that an energy model is used for energy predication, and therefore the goal of coverage rate keeping is achieved; fourthly, the sleeping scheduling mechanism is applied, waste of the redundant node energy is avoided, and therefore the goal of efficient energy utilization is achieved.

The invention discloses a node sleeping scheduling method under an environment of a several-for-one clustering wireless sensor network. The node sleeping scheduling method comprises the following steps: 1) initializing a network; 2) obtaining a data aggregation tree of a wireless sensor network and obtaining a route matrix R; 3) confirming a periodic running method of a cluster head node, constructing a cross-layer optimization model based on energy consumption, and obtaining a sleeping scheduling method for each cluster head node; 4) starting to run and uploading data to a father node; 5) before each node enters into a sleeping state, obtaining the next node sleeping scheduling method for the node; 6) judging if the energy of the cluster head node is used up; and 7) if the energy of the cluster head node in a backbone network is used up, adopting a routing lookup algorithm and judging if the present remained backbone network node can reconstruct the data aggregation tree, if yes, returning to the step 2, and if not, ending. According to the node sleeping scheduling method provided by the invention, the times for switching the node state are extremely reduced and the energy loss of idle monitoring is avoided.

The invention discloses a data queue length-based channel access method for a wireless sensor network. The method comprises the following steps that: a node periodically performs awakening and sleep scheduling to reduce energy consumption, measures own data queue length in real time after the awakening of each time, judges a current congestion degree, and stagewise regulates the size of a competition window according to different levels of the queue length to improve the priority of a competition channel of a congested node and relieve congestion; if the data queue length is less than 1 / 3 of queue capacity, the node adopts a slow competition window regulation mechanism to slowly reduce the size of the competition window of the node along with the increase of the queue length to avoid early congestion; and when the data queue length is more than 1 / 3 of the queue capacity, the node adopts a radical competition window regulation mechanism to quickly reduce the size of the competition window of the node along with the increase of the queue length to eliminate the congestion as soon as possible. By the method, data packets can be uniformly distributed on nodes in the network in a network transmission process, so that the congestion is effectively relieved and eliminated, and the problem of network deterioration caused by the congestion is solved.

The invention discloses a sleep plan customization method and a system based on electroencephalogram signals and a terminal, and the method comprises the steps: obtaining historical sleep electroencephalogram signals corresponding to a target user, and determining a plurality of time periods according to the historical sleep electroencephalogram signals, the plurality of time periods respectively corresponding to different sleep states; determining auxiliary sleep operations respectively corresponding to the plurality of time periods; and generating a sleep plan corresponding to the target user according to the auxiliary sleep operations corresponding to the plurality of time periods. According to the method, the time before the user enters deep sleep is divided into a plurality of time periods, and the sleep assisting operation of the time period is determined based on the sleep state corresponding to each time period, so that the personalized sleep plan of each user is formed; the problem that the sleep assisting effect is poor due to the fact that a fixed program is adopted as a setting program of a sleep assisting device in the prior art is solved.

The invention discloses a dynamic-target-tracking-oriented sleeping scheduling method for nodes of an energy capturing sensor network. The dynamic-target-tracking-oriented sleeping scheduling method includes the steps that when sleeping scheduling is started, the nodes on the boundary of an observation area are in the working state for waiting for arriving of a target, and the other nodes get into the sleeping state and capture energy from the outside world; when the center target gets close to the area, the boundary nodes detecting that the target appears notify the other boundary nodes and the neighbor nodes in a broadcasting mode and awaken the neighbor nodes to track the target. The dynamic-target-tracking-oriented sleeping scheduling method can adapt to the situations that the number, the movement direction and the speed of the target are changed and the nodes capture the energy from the outside world, the energy captured from the outside world can be used in an optimized mode, the life cycle of the network can be prolonged, and meanwhile the dynamic target tracking performance requirement can be met.

The invention discloses a data collection method based on constructive interference in an asynchronous WSN with a low duty ratio. The data collection method comprises the following steps: n sensor nodes are randomly distributed within a region with an area of M*M square meters to form a wireless sensor network, the sensor nodes at least comprise a Source node, a forwarding node and a Sink node, and other sensor nodes excluding the Sink node in the wireless sensor network adopt an asynchronous LPP mechanism to perform sleep scheduling, in a network initialization process, the sensor nodes perform gradation selection to obtain a hop number from the sensor nodes to the Sink node, when data need to be sent, the Source node selects the wake forwarding node in the network to transmit the data to the Sink node concurrently, and the Source node and the forwarding node return to an LPP sleep scheduling state after the data are transmitted. By adoption of the data collection method, the control cost in the network can be effectively reduced, the data packet receiving rate can be improved, the end-to-end delay and the network energy consumption are reduced.

The invention discloses a clustering-based data acquisition method of a strip wireless sensor network. The adopted technical scheme is as follows: the clustering-based data acquisition method comprises the steps: an energy high-efficiency clustering algorithm is adopted to carry out clustering on the strip wireless sensor network, and a cluster head node is selected; the sleep scheduling of the cluster head node is set, and the sleep scheduling of a neighbor cluster head is acquired; a moving sink node sets and dynamically updates the self sleep scheduling; then each sensor node forwards data packets to the cluster head node of the cluster on which the sensor node is located at first, and then the cluster head node carries out caching on the data packets; when in a moving time slot, if query packets broadcast by the moving sink node are received, the data packets are forwarded to the moving sink node in the duration of the time slot after a reply message is sent; and if the sending is not finished, an active time slot in next frame of the node is waited. In the method, the high routing efficiency is guaranteed, simultaneously, the energy consumption can be reduced, and the service life of a network can be prolonged.

Provided is a sleep scheduling method based on directions of a target in a sensor network. A track subregion is set as an oval shape that is in proportion to a probability of the target moving in certain directions so as to track the target, and sleep patterns of sensor nodes in the tracking subregion are scheduled in consideration of a probability of the target moving in certain directions. As such, the energy efficiency of each sensor node in the sensor network can be improved.

The invention discloses a sleep scheduling method under a wireless power communication network. Common sensor nodes have two states of sleep and activation and the two states can switch between each other in order. When a sum of the obtained power and the remaining battery power is not sufficient to supply the upcoming of the power consumption, the nodes will enter the sleep state, and in the period, there is no need to collect and upload data; the remaining power is provided for the nodes and a CKN algorithm will be carried out, a suitable K value is set, part of the node sleep part is activated, the activated nodes will carry out work of data monitoring and transmission, and finally the data is uploaded to a base station. In the process, when the power received by all the nodes is surplus, the surplus power can be converted and stored in batteries to be provided for node consumption the next time. According to the sleep scheduling method under the wireless power communication network, renewable energy is used as a power acquirement source, the network operation is maintained by modes of wireless power emitting and storage, the time distribution rates of wireless power transmission and data transmission are regulated, and the best power utilization ratio is determined.

The invention belongs to the field of wireless sensor networks, in particular to a wireless sensor network distributed clustering and sleep scheduling method specific to target detection. The invention aims to decide the sleep mechanism of a network node according to the clustering structure of a network specific to the application of the target detection in order to realize low end-to-end delivery delay. The method mainly comprises partition of the clustering structure, sleep scheduling of nodes and the like. Through adoption of the method, the problem of great increase in the end-to-end delivery delay caused by network sleep scheduling is solved, and a low-delay and low-energy-consumption sleep scheduling mechanism is realized.

The invention discloses a sleep scheduling method and system for an energy acquisition sensor network. The sleep scheduling method comprises the following steps: predicting an energy acquisition amount at a corresponding moment of the next day according to historical data of energy acquired by each node in a network monitoring area, and establishing an energy value matrix X; dividing all energy acquisition sensor nodes into K K-means clusters in each time quantum according to the predicated energy acquisition amount; sequencing the K-means clustering nodes according to the ranges of the energy acquisition values from small to big, and preferentially awaking the K-means clustering node with the smallest clustering center value on the premises of set sleep scheduling period and coverage requirements. The sleep scheduling method and the sleep scheduling system have the capability of well utilizing the energy acquired from outside, especially adapting to a situation that energy of nodes in an energy acquisition sensor network is limited, and is particularly applicable to a sensor network for field monitoring.

The invention discloses an S-MAC (Sensor-Media Access Control)-based defense method for sleep attack rejection in a wireless sensor network, wherein a node of a WSN (Wireless Sensor Network) authenticates a received synchronous capsule at a MAC (Media Access Control) layer so as to check whether the synchronous capsule is a normal synchronous capsule or not, if so, the sleep scheduling of the node is updated according to an S-MAC rule, and if not, the received synchronous capsule is rejected. After the defense method is applied to a network S-MAC (Sensor-Media Access Control) protocol, defense can be implemented. The S-MAC-based defense method comprises the concrete steps of: firstly, determining a maximum value TB and a minimum value TS of a sleep time domain in the normal synchronous capsule, judging that the synchronous capsule is normal when the received synchronous capsule meets the conditions that Ti is not smaller than TS and not more than TB, or else, discarding the synchronous capsule as an abnormal synchronous capsule. TS refers to a difference between a time interval Tdata for the node, determined by the WSN, to process data and a time interval TSYN for the node to process the synchronous capsule, and TB is the sum of the two time intervals. After the defense method is applied to the S-MAC protocol of the WSN, automatic defense can be implemented automatically. The defense method disclosed by the invention is simple in authentication rules and low in energy consumption, and can be used for effectively defending attacks and saving energy according to S-MAC without direction operation of a user.

The invention relates to a three-dimensional topology control based cluster sleep wakeup method in an underwater sensor network, which comprises the contents below: three-dimensional layout of sensornodes is implemented by utilizing a three-dimensional underwater sensor network model, wherein the sensor nodes adopt three-dimensional boolean sensing models; an energy consumption model is established by analyzing an energy consumption condition of each part of each sensor, and a calculation formula of underwater transmission energy consumption is reconsidered; and a topology model of a three-dimensional dense network is applied. A fragmentation unit and a cluster size are determined on the basis of the models above and related definitions of a cluster sleep scheduling algorithm so as to achieve high coverage, high connectivity and low energy consumption of the network and determine a node level and a sensing radius; and in the premise of considering network quality, proper sleep time and information table are set.

The invention belongs to the technical field of wireless communications and particularly relates to a wireless transmission method and a network. The wireless transmission method is characterized in that a wireless transmission network is partitioned, different partitions are respectively arranged as a transmission partition and a standby partition, different sleep scheduling strategies are divided for each partition by adopting a sleep scheduling mechanism; in the data transmission stage, nodes in the same partition adopt a probability forwarding mechanism to select a proper node for concurrent transmission in the partition; and the data is transmitted from the partition where an initial node is located until an end node successfully receives the data. By adoption of the method, low energy consumption and low delay of data transmission can be achieved on the strip wireless sensor networks. The method is particularly suitable for application to the strip wireless sensor networks needing low delay and low energy consumption.

The invention discloses a synchronous and batch calibration method for the time base of WSN nodes. The method comprises that a main node of the WSN obtains an accurate clock signal from an accurate time service source; the main node broadcasts the accurate clock signal to all auxiliary nodes of the WSN; and the auxiliary nodes calibrate the local clocks according to the received accurate clock signal. Thus, the time base of the nodes can be calibrated and unified synchronously, so that synchronous sleep scheduling of the nodes can be carried out in a longer time, and the performance in accurately synchronizing the network is improved.

The invention discloses an underwater source node position privacy protection method based on a virtual cube. The method is divided into three stages: in the first stage, an underwater node sleep scheduling mechanism based on geographic position information is proposed, and virtual cube division is performed on an underwater network, so that half of underwater nodes are in a sleep state, and energy is saved; in the second stage, a cloud generation and updating mechanism based on a virtual cube is provided, irregular dynamic clouds are generated around the source node to hide the position, andthe size and the position of the clouds can be updated along with the event in real time when the event moves; in the third stage, an underwater data packet secure transmission scheme is provided, a source node selects different relay nodes for data transmission to improve the node utilization rate, and a plurality of false clouds are selected outside the clouds to confuse attackers. The method can adapt to an underwater three-dimensional environment, considers node and event movement influences caused by underwater water flow factors, improves the utilization rate of energy in the network while protecting the position privacy of the source node, and prolongs the service life of the network.

The invention discloses a target-node-location-oriented dynamic sleep scheduling method in wireless sensor networks. The method comprises the steps of: creating a location tree, picking up wakeup anchor nodes and sleep anchor nodes from the location tree; then notifying the surrounding anchor nodes of the target node of a work mode, so that the target node can effectively keep high anchor node connectivity by dynamic sleep scheduling, location success rate and precision of the target node in wireless sensor networks is guaranteed. The massage passing mechanism is dispatching WAKEUP_MSG massage to anchor nodes in the wakeup nodes collection, to keep the wakeup state and enter a full-attendance working way; and dispatching PRUNE_MSG massage to anchor nodes in the sleep anchor nodes collection, to switch to sleep state and enter a low-consumption working way.

The invention discloses a device for monitoring and managing sleep quality and promoting sleep. The device comprises a hand monitoring unit and a pillow monitoring unit. The hand monitoring unit evaluates the specific sleeping condition of a monitored person and starts a corresponding preset hand perceptual mode by acquiring and analyzing the pulse information, the heart rate information, the motion information, the oxyhemoglobin saturation information, the regular exercise amount and the sleeping posture information of the monitored person, the temperature information of the environment where the monitored person is located, and the brightness information of the sleeping environment. The pillow monitoring unit acquires all the information of the monitored person, and starts a corresponding preset pillow vibration mode. The device has the advantages of being capable of promoting sleep, precise in data, safe, environment-friendly, multifunctional, small, portable and the like. The device can conduct multi-dimensional monitoring on multiple indexes like sleep quality, exercise amount and basal metabolic rate, can dynamically and intelligently conduct individualized guidance and management on sleeping plans according to sleeping parameters acquired through previous multi-dimensional monitoring, and can be applied to the normal sleep population, the insomnia population, the sleep apnea-syndrome population and the population with a snoring history but not diagnosed as sleep apnea-syndrome yet.

The invention discloses a sleeping scheduling method for detecting toxic gas in an industrial sensor network, and the method comprises the steps: a CKN algorithm is applied in all nodes of the sensor network, K=1 is set, the least working nodes are used for maintaining whole sensor network global connectivity, sink nodes are used for calculating a region coverage range value of the working nodes and comparing a preset coverage range threshold with the above value, and a message about if adding the region coverage range is returned; if a working node satisfies the condition, a wake-up message is transmitted for a one-hop sleeping neighbor node of the working node, and the sleeping node is woken up. According to the invention, compared with the other scheme, the method of the invention in whole sensing field has the least energy consumption of the working node, the method improves efficiency of the sensor in industrial application, energy consumption is reduced, network use period is prolonged, and accuracy of the toxic gas detection is improved.

The invention discloses a sleep management method and device. The method comprises the steps of: when a new sleep evaluation period is entered, acquiring an expected sleep file of a user, and determining a daily initial sleep plan according to the expected sleep file of the user; obtaining schedule information planned by the user in the sleep evaluation period; acquiring daily actual schedule information of the user and state information of the user at home in real time; optimizing the current-day initial sleep plan according to the planned schedule information, the daily actual schedule information and the state information at home at a preset time point of each day to obtain a current-day target sleep plan; and outputting sleep reminding information to the user according to the current-day target sleep plan. Through the technical scheme, sleep time is dynamically arranged, so that a user has high-quality leisurely life work and rest.

The invention discloses a coverage maintenance method based on sleep scheduling and coverage compensation. Specifically, the two methods of sleep scheduling and coverage compensation are adopted in the scheduling mechanism, thereby achieving the dual goals of efficient energy utilization and coverage maintenance. Firstly, the node judges whether it needs the surrounding neighbor nodes to move to it by estimating its own redundancy and remaining energy; the concept of absolute redundant node and relative redundant node is proposed for the first time; then the neighbor node judges whether it has the ability to move to the target The ability of location; by using the energy model for energy prediction to accurately judge the mobility of nodes, and then achieve the goal of maintaining coverage, and then adopt a sleep scheduling mechanism to avoid the waste of redundant node energy and achieve high-efficiency energy utilization The goal.