141results about How to "Reduce transmission energy consumption" patented technology

The invention relates to one sensor network data inquire process method based on mobile agent middle part, which comprises the following steps: regarding whole wireless sensor as one database; realizing on mobile agent middle part; executing user inquire task by mobile agent onto designed point to start operations till fulfilling inquire task to end its life circle or according to its task need onto other point; inquiring process system design to realize network base station to change inquire agent design.

The invention discloses a route optimizing method and device of a communication unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicle communication. The method includes the steps of obtaining a user group and geographic positions thereof, dividing the user group into K multicast groups, determining K initial hovering positions corresponding to the K multicast groups one to one, determining the shortest initial flight route of the K initial hovering positions, and optimizing the initial hovering positions of the unmanned aerial vehicle one by one to obtain the Kfinal hovering positions corresponding to the K multicast groups and the final flight route. In the method, by dividing the user group into a plurality of multicast groups, finding a proper hoveringposition in each multicast group so that the unmanned aerial vehicle can transmit files at a high transmission rate at the position and designing the flight trajectory of the unmanned aerial vehicle to find the shortest route passing through all the hovering positions and returning to the initial position, multicast service transmission tasks are completed by the unmanned aerial vehicle with the minimum total energy consumption.

The invention discloses a distributed graph coloring link dispatch scheme of a wireless sensor network based on a graph coloring algorithm. According to the scheme, firstly, partial interference information is obtained through packet switching among nodes; secondly, a graph vertex coloring analysis is carried out on a generated localized network conflict graph; thirdly, the conflict-free time slot allocation of a wireless sensor network link is obtained. To improve the coloring success rate, two mechanisms are provided. One mechanism is a broadcast safeguard mechanism for improving the broadcast information delivery rate, and the other mechanism is a conflict processing mechanism for solving the coloring conflict problem. According to the distributed link dispatch scheme, the problems of packet loss, delay and the like caused by multi-hop transmission are solved, and the transmitting energy consumption is reduced. The result of the network simulation shows that the distributed graph coloring link dispatch scheme has the advantages over a conventional link dispatch method on the aspects of energy consumption, the space reusing rate, the packet loss probability and the like.

The invention provides a wireless sensor network energy consumption optimization method based on a clustering route protocol and aims to solve a problem of uneven network energy loss of a wireless sensor network. According to the method, cluster formation of an LEACH algorithm and a cluster-head selection algorithm are improved, firstly excellent convergence and global optimization capability of a BIRCH algorithm are utilized to reasonably segment a whole network area into multiple sub areas, two thresholds of the BIRCH, a cluster radius and the quantity of sub nodes of the cluster are mainly utilized to restrain clustering of the LEACH protocol, and a cluster head is selected through taking consideration of residual node energy in the sub areas. Compared with a classic route protocol LEACH, network load balance can be effectively realized through the route protocol LEACH, an energy utilization rate is improved, and a service life of the network is prolonged.

The embodiment of the invention discloses a D2D (Device-to-device) communication method and device based on distributed storage. The method comprises the steps of selecting multiple nodes as cache nodes according to preset conditions; obtaining a request of request nodes; when judging cellular subscriber resource nodes meet the preset communication conditions, dividing request data of each type into first preset quantity shares corresponding to the request data of each type and storing to the cache nodes; backing up the request nodes and backing up the cache nodes; employing a preset algorithm to obtain an optimal matching state among all request nodes, all cache nodes and all cellular subscriber resource nodes; and sending the optimal matching state to the request nodes so that the request nodes carry out D2D communication according to matched cache nodes and matched cellular subscriber resource nodes corresponding to the request nodes in the optimal matching state and by the request nodes and the matched cache nodes, and obtains the request data of the matched cache nodes.

The invention provides a wireless multimedia sensor network node clustering method based on related coefficients, comprising the following steps: utilizing related coefficients of a node to cluster; and electing a cluster head node according to node rest energy and node transmission cost; and therefore, the network management can be efficiently performed, and the redundancy of transmission data is reduced. According to the scheme, the related coefficients of the node are firstly obtained, a related coefficient matrix of the whole network is utilized for constructing clustering, then the election of a cluster head based on cost is performed inside a cluster, and the switching of the cluster head is performed at a proper moment. Through the scheme, the clustering problem in the wireless multimedia sensor network is efficiently solved, cluster head election and switching mechanism is provided, the node energy consumption inside the network is balanced, and the life cycle of the whole network is prolonged.

This invention relates to a method for collecting compressed data based on a kernel function in a mobile wireless sensor network. The method comprises the steps of: step S01, collecting data of sensor nodes based on a random walk algorithm; step S02, according to the random walk algorithm, designing a random measurement matrix; step S03, designing a sparse representation matrix; and step S04, according to the random measurement matrix and the sparse representation matrix, performing compression perception recovery to the collected data of the sensor node. By adoption of the invention, the data collecting efficiency is improved; the node energy consumption is reduced; the time for collecting the data is reduced; the reliability for collecting the data is improved; and the life cycle of the network is further prolonged.

The invention discloses a variable flow and household metering centralized heating system and a hydraulic balance regulating method. The system comprises household metering modules, a water supply temperature measuring module, a water returning temperature measuring module and a heat supply network monitoring and controlling management platform. The household metering modules are arranged at the positions of users, and the heat supply network monitoring and controlling management platform is in communication connection with the household metering modules and a total circulating pump and collects the water supply temperature and the water returning temperature in pipe network systems through the water supply temperature measuring module and the water returning temperature measuring module; and a frequency changer is arranged on the total circulating pump. The water quantity needs of the users are met, and on the premise that the heat comfort requirement of the users is met, the flow is adjusted according to needs, and energy consumption is reduced; and the cost is saved, the reliability and the stability are higher, and the system is more suitable for long-term utilization.

The invention discloses a node cooperative work method based on the sensing direction guide in an Internet of things environment and mainly relates to an effective realization method monitored by an object in a multimedia sensor network. Based on a sensing node perceived radius theory and a video sensing model which are provided by the invention, the method is combined with practical application and meets different practical monitoring requirements according to two work modes of group and individual provided by different scenes. By elaborating a direction guiding method in the wireless multimedia sensor network from two views of theory and practicability and combining the characteristics of easy manipulation, conciseness, high efficiency, cost saving, low expenditure and energy consumption, high flexibility and the like of the wireless multimedia sensor network, the invention provides constructive suggestions for the application of the multimedia sensor network in the monitoring field.

A method for evaluating the trust degree of an Internet of things node is provided. The method includes the steps of querying a list of direct interaction nodes; calculating a direct trust value; calculating a recommended trust value; Calculating the comprehensive trust value: updating the list of trust values according to the comprehensive trust value. The invention provides a method for evaluating the trust degree of a node in the Internet of Things, which adopts an improved Beta-based direct trust degree evaluation method when evaluating the direct trust degree of the node, and optimizes arecommended trust degree weight calculation method by fusing user similarity, evaluating difference degree and the trust degree value of the node itself, and calculating the recommended trust degree value of the node. Finally, the combined method based on the direct trust value and the recommended trust value is adopted to calculate the node comprehensive trust value, which can improve the accuracy of the trust evaluation. The experimental results show that the method of the invention has higher sensitivity to malicious behaviors of nodes compared with other methods, and can effectively reducetransmission energy consumption while ensuring the calculation accuracy of the trust degree.

The invention relates to a pulsator type blood pump driven by ultrasonic liner motors, belonging to the technical field of medical apparatus and comprising a shell, ultrasonic liner motors, a blood bag and displacement detecting modules, wherein a plurality of ultrasonic liner motors are fixed at the inner sides of the periphery of the shell and are connected with push plates in the blood bag; the shell is sheathed at the outer part of the blood bag; the displacement detecting modules are arranged on the ultrasonic liner motors. The ultrasonic liner motor comprises a driving circuit, piezoelectric ceramic plates, elastomers, a sliding block and pretightening screws, wherein the driving circuit is connected with the ceramic plate by leads; the sliding block is movably arranged in the shell, the two piezoelectric ceramic plates are adhered on the elastomer; one end of the elastomer is connected with the pretightening screw, and the other end thereof is vertically contacted with the side surface of the sliding block; and two groups of the piezoelectric ceramic plates, the elastomers and the pretightening screws with same structure are respectively positioned at the two sides of the sliding block. Compared with the prior art, the pulsator type blood pump has compact structure, small size, high transmission efficiency, positioning precision and control precision.

The invention discloses a method for constructing an energy-efficient network content distribution mechanism based on edge caching, and the method comprises the following specific steps: constructinga system model according to the change of a network service mode, and deploying content at the edge of a network according to the system model; according to the network edge deployment content, constructing network power consumption models of ISP and CP, and performing constraint and simplification; and performing optimization solution on the network power consumption model based on reinforcementlearning. According to the method, the problem that existing research basically aims at prediction angles such as content popularity and cache hit rate and lacks an optimal routing scheme based on machine learning to solve the ISP and CP cooperative energy consumption problem is solved, a centralized system model is established for ISP and CP power consumption by researching behavior changes of network participants in an edge cache environment, machine learning is used to carry out distributed online and offline solution, and a calculation result is compared with a theoretical value.

The invention discloses a wireless sensor network data transmission method. The wireless sensor network data transmission method comprises the steps: S1 obtaining a sleep / wake plan of neighbor nodes; S2 obtaining link quality of the nodes; S3 selecting father nodes according to the link quality and the sleep / wake plan, selecting the nodes from the neighbor nodes according to the father nodes to form a candidate node set, dynamically selecting multiple nodes in the candidate mode set according to a greedy algorithm and using the nodes as next transmission nodes, and performing optimization to sending windows of the candidate nodes; and S4 utilizing the sleep / wake plan to a data pack to the father nodes when the father nodes wake. By means of the method, the transmission energy consumption of the sensor nodes is reduced, the service life of a wireless sensor network is prolonged, the rate, the success rate and the robustness of data transmission are improved, and data transmission delay is reduced.

The invention discloses an online collaborative caching method based on optimized energy efficiency, which belongs to the technical field of communication and comprises the following steps of firstly,establishing a double-layer heterogeneous ultra-dense network scene comprising a content server CP, a macro base station MBS, a small base station SBS and user UE; aiming at the new content l to becached, enabling an MBS to calculate a preference factor and a social factor of a certain user UE for the content; further obtaining a preference factor and a social factor of each piece of UE on thecontent, calculating a decision function value by combining the current heat factor of the content l, adding the content l into the cache file set when the decision function value l is greater than orequal to a judgment threshold I0, and meanwhile, calculating each SBS capable of caching the content by MBS; judging whether each SBS needing to cache the content l and the MBS have enough cache space or not, and if so, directly caching the content l; otherwise, deleting from the most recently requested file until the cache space is sufficient to store the content l. According to the invention, the real-time distribution of the cache content can be realized, the energy consumption is saved, and the network cost is saved.

The invention provides an agricultural perception data sparse vector acquiring and space coupling method. In the method, an aggregation node can control a cluster head node to select an inner-cluster node carrying a larger amount of information to acquire farmland environment information in a network compressed sensing process by using correlation of monitoring data between adjacent perception nodes in a monitoring area while all nodes are not required to report the acquired data in each turn, so that the number of acquisition nodes in a cluster in a current turn can be reduced effectively; the volume of data submitted to the head cluster node by the inner-cluster node is reduced; and transmission energy consumption between nodes and the cluster head node is lowered. Moreover, the cluster head node compresses the received acquired data secondly, and uploads the compressed data to the aggregation node, so that a total transmission amount between the cluster head node and the aggregation node can be further lowered; the transmission energy consumption is lowered; and the transmission efficiency of the whole sensing network is increased.

The invention discloses a substrate clamping device for clamping substrates in an organic light-emitting display and a solar cell panel. The substrate clamping device comprises a driver, a bottom plate, a first clamping piece and a second clamping piece, wherein the first clamping piece and the second clamping piece are matched with each other. Both the first clamping piece and the second clamping piece are pivoted at one end of the bottom plate and are provided with clamping parts and pushing parts; a clamping region is formed between the clamping parts of the first clamping piece and the second clamping piece; a pushing region is formed between the pushing parts of the first clamping piece and the second clamping piece; the driver is arranged at the other end of the bottom plate; the output end of the driver is provided with a pushing piece corresponding to the pushing region; the driver drives the pushing piece to stretch into the pushing region to eject the pushing parts to rotate along an expanding direction; and the rotating pushing parts drive the clamping parts to rotate along a direction of reducing the clamping region so as to clamp the substrate in the clamping region. The substrate clamping device can overcome the disadvantages of the conventional manipulator that the manufacturing difficulty is great and the manufacturing cost is high; and the substrate clamping device has the advantages of compact structure, convenience for installation and easiness for maintenance.

The invention relates to a topology management method based on an event-driven wireless sensor network. The method comprises the following steps that when sensing that an event occurs, a node enters apre-activated state from a dormant state, and conducts first-stage redundancy determination according to the position of a neighbor node and a sensing range, the node determined to be redundant returns to the dormant state, and other nodes compete for a cluster head, and completes a clustering operation; the cluster head sends an activation signal to a relay node on a path according to a routingtable, meanwhile, member nodes in the cluster, before sending the sensing data to the cluster head, carryes out second-stage redundancy determination, the node determined to be redundant maintains a pre-activation state, and the other member nodes in the cluster send the sensing data to the cluster head; the cluster head carries out fusion processing on the sensing data and then transmits the sensing data to a base station according to the path in the routing table; and when a target moves to a cluster edge, a prediction clustering mechanism is triggered. According to the method, the high real-time performance and reliability of data can be ensured, and the network energy consumption is reduced.

This invention provides a straight cylinder inner rail combustion engine with complete new concept, which uses compressed gas working to push cylinder rotate and uses expansion rotation ring chamber design to make gas burst fully to complete four strokes of the engine and make force direct working on the cylinder to make it rotate to enlarge the working section trail curve length and time of the cylinder concaved groove.

The invention provides a method for transmitting high energy-efficient perceptual information based on LT code significance sampling in a cognitive radio wide band collaboration frequency spectrum perception network. Optimization degree distributed design based on LT code significance sampling is adopted to perform channel coding for perceptual information, so that the calculation complexity is lowered, the system performance is better optimized, and energy consumed during transmission process is effectively saved while the reliability of transmission of perceptual information is ensured; if a perceptual node is far away from a center node, a single-hop decoding forwarding relay method is adopted, so that the transmission energy consumption is further reduced; degree distribution optimization is adopted to select degree value to obtain a probability optimization value, corresponding optimization degree distributed design is obtained based on a robust solitary wave distribution function, and finally, normalization is performed on the designed optimization degree distribution to obtain a practical degree distribution. MATLAB simulation experiment proves that the method, compared with the conventional degree distribution, is improved in performance.

The invention discloses an inner rotor motor swing type self-adaption automatic variable speed drive assembly of an electric motor car. The inner rotor motor swing type self-adaption automatic variable speed drive assembly comprises an inner rotor drive motor, a slow gear transmission mechanism and a mechanical intelligent self-adaption variable speed assembly. The slow gear transmission mechanism comprises an overrun clutch and a middle speed reduction transmission mechanism. The overrun clutch transfers and outputs slow gear power through a slow gear cam meshing pair. The slow gear cam meshing pair comprises a swing type end face cam meshing pair at a minimum. The inner rotor motor swing type self-adaption automatic variable speed drive assembly has all the advantages of an existing cam self-adaption automatic variable speed device, swing cushion is achieved in the gear shifting process, good steadiness and smoothness are achieved when a variable speed elastic piece is released, sense of frustration and noise are eliminated, and further improvement of working efficiency is facilitated; transmission energy consumption generated in the gear shifting process is lowered, better energy conservation and consumption reduction effects are achieved, the service life is prolonged, and the inner rotor motor swing type self-adaption automatic variable speed drive assembly is more applicable to electric motor cars and other light and portable vehicles.

The invention discloses an energy-saving transmission method oriented to mobile cloud computing and a corresponding middleware system. A cloud end hosting request management module is used for receiving and processing a mirror image hoisting request of a mobile end, a cloud end application mirror image data management module manages data updating and deleting of a mobile application mirror image, a cloud end-mobile end data transmission module achieves energy-saving data transmission between a cloud platform and the mobile end, a mobile end data storage and distribution module stores the data transmitted through the cloud end and distributes the data to different mobile applications, and a mobile end application request analysis module analyzes data requests of the mobile applications, and feeds back corresponding data from the storage module. The energy-saving transmission method oriented to mobile cloud computing and the corresponding middleware system can well lower high transmission energy consumption under a wireless network bandwidth unstable environment, improves the performance of a mobile end battery and improves user experience of a data pre-taking program at the same time.

The invention discloses an external rotor motor cyrtoconic swing type self-adaption automatic variable speed drive assembly of an electric motor car. The external rotor motor cyrtoconic swing type self-adaption automatic variable speed drive assembly comprises a drive motor, a box body, a transmission shaft, a slow gear transmission mechanism and a mechanical intelligent self-adaption variable speed assembly. An annular sunk portion is formed in the axial end face of an outer ring of an overturn clutch of the slow gear transmission mechanism, an inner ring is arranged in the annular sunk portion in a rotating and matched mode, and a meshing space is formed between an outer circle of the inner ring and the inner wall of the radial outer side of the annular sunk portion. The slow-gear transmission mechanism outputs power and locks a variable speed elastic element through a swing type end face cam meshing pair. By means of the automatic variable speed drive assembly, the problem that the transmission error is amplified on the overturn clutch is avoided, the overall stability of the overturn clutch is guaranteed, stable supporting is still guaranteed after long period operation of a speed changer, operation noise is lowered, operation comfort is guaranteed, transmission efficiency is improved, and thus energy consumption is lowered; the service life is further prolonged, operation accuracy is improved, and the automatic variable speed drive assembly is applicable to overloading and high-speed use environments.

The invention belongs to the technical field of wireless communication, and discloses a user clustering and resource allocation optimization method. In a non-orthogonal multiple access-based edge computing system, through collaborative optimization of user clustering, computing resource block allocation and sending power control strategies, as many users as possible are accommodated and the total energy consumption of the users and an MEC server is reduced as much as possible under the condition of ensuring QoS requirements of user task processing time delay. According to the invention, the non-orthogonal multiple access is introduced into a mobile edge computing system, so that the problems of small system capacity caused by wireless resource shortage in the mobile edge computing system and low data transmission rate in the computing unloading process caused by low spectrum utilization rate are relieved, the sending energy consumption of mobile equipment in the computing unloading process is reduced, and the number of users accommodated by the system is increased; the energy consumption of the MEC server is reduced when the MEC server is inconvenient to connect with a power supply, and the working time of the MEC server is prolonged; a heuristic optimization algorithm is low in complexity and can be applied to an actual system.

The invention discloses a wireless sensor network data aggregation method and apparatus based on a perception coincidence rate. The method includes following steps: constructing a node transmission hierarchy chart according to a wireless sensor network; starting to construct an aggregation area from nodes at the highest layer according to a preset aggregation area construction rule and the perception coincidence rate; and sending wireless sensor network data according to the aggregation area, wherein non-aggregation points are preferred as relay nodes in a data transmission process of aggregation points and independent points, and then nodes with high residual energy are selected as the relay nodes. According to the method, redundant data can be fully processed, the energy consumption of data transmission is reduced, the accuracy of the data is guaranteed, the quality of data aggregation is improved, and simplicity and convenience are achieved.

The invention provides a drive breaking tooth roller internally provided with a hydraulic motor, and belongs to the technical field of engineering breaking equipment. A manner of combined drive of a drive motor and a speed reducer is adopted for a traditional breaking tooth roller, as the drive motor is connected with the speed reducer through a coupler, the structure is complex, the occupied space is large, meanwhile a transmission shaft is long, and the transmission efficiency is low. According to the device, the hydraulic motor and a planet-gear reducer are used as drive mechanisms for drive, the mutual engagement transmission energy consumption is low, meanwhile high torque is easy to obtain as the hydraulic motor is used for drive, and the beneficial effects of rapid and impact-free speed change and reversing, stable transmission, the long service life and the like can be achieved. In addition, a breaking roller body is driven through the cooperation of the planet-gear reducer, the structure is compact, the precision is high, the service life is long, the space can be effectively saved, operation is stable, and the power is high.

The invention relates to the technical field of high performance computing, and in particular relates to a wireless sensor network data fusion method based on clustering discrete grey model (DGM). Themethod comprises the steps of dynamically clustering multi-sensor data according to spatial correlation; detecting and polishing abnormal points in a data sequence group; describing correlation between sensor nodes with the aid of a discrete interval grey number concept in a grey theory; using a discrete grey number DGM prediction model to perform modeling and prediction on a development trend ofa data sequence; and achieving fusion of multi-sensor data. According to the method provided by the invention, the abnormal points can be effectively detected and polished, and the data reliability is enhanced; the prediction data is corrected by using the spatial correlation between the data, and thus the accuracy of data prediction is effectively enhanced; the data sending amount between the cluster node and convergence node is reduced; the transmission distance of the sensor node is effectively reduced; the transmission energy consumption of the sensor node is reduced; and the butt joint point number of the convergence nodes is reduced, and the network congestion problem is relieved.

The invention discloses an automatic pendulous self-adaptive speed change driving assembly of an external rotor motor of an electric motorcycle. The automatic pendulous self-adaptive speed change driving assembly comprises a driving motor, a box body, a transmission shaft, a slow-gear transmission mechanism and a mechanical intelligent self-adaptive speed changing assembly. The slow-gear transmission mechanism comprises an overrun clutch and a middle speed reducing transmission mechanism. The overrun clutch transfers and outputs slow-gear power through a slow-gear cam engagement pair. The slow-gear cam engagement pair at least comprises one pendulous end face cam engagement pair. The automatic pendulous self-adaptive speed change driving assembly has all the advantages of an existing automatic cam self-adaptive speed changing device, swing buffer is achieved in the gear shifting process, good stability and smoothness are achieved when an elastic speed reducing piece is released, the abruption feeling and noise are eliminated, and the working efficiency is further improved; the transmission energy consumption in the gear shifting process is reduced, a better energy conservation and consumption reduction effect is achieved, the service life is prolonged, and the automatic pendulous self-adaptive speed change driving assembly is more applicable to light vehicles such as the electric motorcycle.

The invention provides an efficient decontamination device of water, including a water pipe, a water inlet, a filter, and a sediment dirt separation device, and a sediment dirt temporary sewage storage room that can contain dirty things for a short time and sewage valve device. According to the requirements of users, it may also include a water pump and a one-way valve device. The invention discloses an easy device with function of high efficiency water decontamination, which is used to separate water and sediment contamination from the water at the same time. That is to say, the sediment is separated from the water source, so as to prevent sediment pollution from flowing to the users with water. This can not only reduce the energy consumption of sediment transport system, but also avoid users' cost and troubles of cleaning up the sediment.

The invention discloses a cutting machining device for spherical-surface workpieces, and belongs to the field of workpiece machining mechanical equipment. The cutting machining device comprises a machining conveying support, a horizontal moving and cutting mechanism, a clamping and lifting mechanism, a turning and transferring mechanism and a workpiece conveying mechanism, wherein the horizontal moving and cutting mechanism is horizontally and fixedly arranged on one side above the machining conveying support, the clamping and lifting mechanism is vertically arranged at the position, on one side of the horizontal moving and cutting mechanism, of the machining conveying support, the turning and transferring mechanism is vertically arranged at the position, on one side below the clamping andlifting mechanism, of the machining conveying support, and the workpiece conveying mechanism is horizontally arranged at the position, on one side of the turning and transferring mechanism, of the machining conveying support in a mode of being adjacent to the turning and transferring mechanism. The cutting machining device has the advantages that the structural design is reasonable, the spherical-surface workpieces can be efficiently and stably cut and machined one by one, moreover, automatic transferring feeding and pushing of the spherical-surface workpieces can be achieved, the machining automation degree is high, and the workpiece machining and use requirements are met.

The invention discloses a cooperative control method for the transmitting power of H2H and M2M terminals in a mobile network, and is applicable to the technical field of wireless communication. The mobile network is composed of a base station, an H2H terminal and K M2M terminals, and in combination with the transmitting power cooperative control method, the data throughputs and transmitting power of the H2H and M2M terminals are respectively solved. According to the cooperative control method, while the data throughputs of the H2H and M2M terminals are ensured, the transmitting power of the M2M terminals is minimal, namely the data transmission requirements are met, and the transmission energy consumption of the M2M terminals is reduced.