1102 results about "Residual energy" patented technology

A wireless communications device detects a change in its residual energy status, and transmits the residual energy status across a wireless communications network to a remote device that coordinates communications in the wireless communications network. For example, the remote device may be a piconet coordinator (PNC) in an IEEE 802.15.3 network, or a master device in a Bluetooth network. A wireless communications device that coordinates communications in a wireless communications network (the coordinator) transmits one or more first handover commands to one or more remote devices upon the occurrence of a triggering event. Based on responses to these first commands, the coordinator selects a remote device for coordinating future communications in the wireless communications network.

The invention discloses a routing method for the wireless sensor network with efficient energy, which is suitable for the layered sensor network structure. The routing method is composed of initialization, cluster building, adjacent clusters routing and routing maintenance, wherein, an initialization process of the protocol makes a Sink node obtain a topology and network average energy of the sensor network, and each node obtains hop counts from the node to the Sink node; in the stage of the cluster building, a repeated division method is used to divide sensor network clusters, the divided clusters are even, and a leader cluster node is undertaken by nodes with higher residual energy; the adjacent clusters routing uses an ant colony algorithm to determine the probability of using a link to send information according to the link pheromone concentration, and the link pheromone concentration is increased with the information transmission on the link and is reduced with the time going; and the routing maintenance stage is responsible for updating link pheromone concentration, and makes the nodes inside the cluster with higher residual energy undertake the leader cluster in turn. The routing method can reduce the consumption of the network total energy, can balance the consumption of the node energy and can prolong the network life cycle.

Methods and apparatus are described for providing a time-based warning indicating that the energy capacity of a primary energy source of a battery-powered computer has discharged to a low level, and using residual energy of the primary energy source to perform at least one pre-cutoff function. The time-based warning ensures that the warning is provided in a timely manner by overcoming problems caused by analog to digital converter voltage measurement accuracy limitations and flat battery operating voltage versus discharge curves. The primary energy source can be a rechargeable battery, which can also be the sole energy source for the computer. The battery provides power to operate the computer until the battery voltage discharges to the cutoff voltage. The methods and apparatus provide advantages because they reserve the residual energy in the battery to perform at least one pre-cutoff function within a first duration before the battery discharges to the cutoff voltage. For example, the residual energy can be used to retain data stored in the computer between opportunities to charge the battery. Some embodiments of the invention include hardware resources coupled with the processor to lock out power and application activation when the rechargeable battery has discharged to a predetermined hardware lockout voltage. The value of the hardware lockout voltage can be based on the battery retaining a residual energy sufficient for performing the corresponding pre-cutoff function within an amount of time that is expected to enable the user to perform the function.

The invention discloses a driving range estimation method of an electric car. The driving range estimation method of the electric car comprises the following steps: 1.1 a planned route and the future microcosmic traffic state of the route are obtained according to a set departure site, a destination and the departure time; 1.2 an aggregative variable is calculated based on the obtained speed per second and an acceleration; 1.3 a built electric car electricity consumption rate model is selected according to different driving conditions, and electricity consumption per second is calculated by combining the calculated aggregative variable; and 1.4 residual electric quantity of a current battery is obtained, residual energy of the battery is calculated, and residual range is obtained through circular calculation by combing the electricity consumption of the car. The driving range estimation method of the electric car takes the influence of a real traffic state on the energy consumption of the electric car into account, and overcomes the defect that the estimation result of an existing method is not accurate enough.

The Internet of vehicles distributes computing tasks between a remote cloud and a local vehicle-mounted terminal to improve vehicle services. In order to further reduce the delay and transmission costof computing unloading, the invention provides a cloud-based MEC (Mobile Edge Computing) unloading framework. MEC brings the computing capacity to a mobile network edge close to intelligent mobile equipment; compared with local computing, the MEC contributes to saving energy, but leads to network load increase and transmission delay. In order to research a balance between the energy consumption and the delay, the invention provides an energy-sensing unloading scheme. The scheme is to co-optimize communication and computing resource distribution under limited energy and sensitive delay. In thetext, a multi-cell MEC network scene is considered. Residual energy of a vehicle battery is introduced into a definition of a weighing factor of the energy consumption and the delay. For an MINLP (Mixed Integer Non-Linearity Problem) of the computing unloading and resource distribution, an original NP (Network Performance) difficult problem is decoupled into problems on seeking power and subcarrier distribution and unloading tasks.

A preferred method for hierarchical motion vector processing determines reliability levels of blocks in image data according to residual energy levels. Macroblocks of an image frame are merged according to reliability levels of the motion vectors of blocks. Single motion vectors are selected for merged macroblocks. Motion vectors of blocks merged in the step of merging are iteratively assigned by minimizing the bi-directional prediction difference on successively smaller merged blocks. The reliability levels are preferably determined by measure residual energy of both chrominance and luminance components. In preferred embodiments, motion vector correlation is used to assist the MV reliability classification and the merging and iterative assignment. Refinement and smoothing can be conducted on successively finer block sizes. Additionally, preferred methods account for occlusions by choosing only one of forward or backward prediction for occlusion regions depending upon the class of the occlusion. Results of motion vector classification of the invention can be used in motion compensated frame interpolation and other techniques.

A method and a device for providing an electronic appointment scheduler for a vehicle. Appointments are acquired that have associated time data and geographical positions; the residual amount of energy available for driving the vehicle is acquired and data relating to a geographical road network, including the geographical positions of energy-supply devices suitable for said vehicle, are acquired. Taking into account the time data and geographical positions associated with the appointments, the available residual energy amount, and the energy consumption of the vehicle on a potential travel route, a route plan and an energy fill-up plan are produced, with supplemental periods of time being calculated that are associated with the appointments and derived on the basis of the route plan and energy fill-up plan. An appointment schedule is then produced and issued which comprises these appointments as well as the supplemental time periods that are associated with these appointments.

The invention discloses a position-information-based device-to-device (D2D) clustering multicast method in a cellular network. The method comprises the following operation steps that: terminals upload own geographical position, transmission distance and residual energy information to a base station; the base station clusters the terminal by using a geographical-position-based clustering method according to the obtained information of all the terminals in a D2D area, and transmits clustering information to all the terminals; and after all the terminals receive the clustering information, two-hop transmission is realized by adopting a multicast transmission mode to ensure that all the terminals in the area can reliably receive data from a source terminal. According to the method, network layer topology and a multicast transmission technology are combined, so that the method is low in computational complexity, easy to implement and quite favorable for the realization of D2D communication in the cellular network, a D2D communication effect in a scenario with a plurality of terminals is greatly improved, the transmission energy consumption of the terminal is reduced to a certain extent, an energy utilization rate is increased, and terminal running time in the D2D communication is prolonged. The method has broad popularization and application prospect.

Methods and apparatuses for obtaining position and energy information without pileup. Signal integration, which is triggered by a present event, stops when a subsequent event is detected. A weighted value for estimating the total energy in a scintillation is calculated, which includes the energy of the current event and a residual energy from previous events. Remnant correction is used to calculate a pile-up free energy from two consecutive weighted values. An analog filter may be applied to reduce noise. Dynamic digital weighting of integrated values, and/or digital integration may be used during data processing. Pileup can be avoided in conjunction with several types of applications, including multi-zone detector applications and coincidence detection applications. High-resolution timing techniques are also disclosed that facilitate one's ability to avoid pileup.

The invention discloses a wireless sensor network cluster routing protocol based on node depth. In a cluster head selection algorithm, residual energy of neighbor nodes are taken into consideration, so that the quantity of the cluster heads is stable, the cluster heads are distributed uniformly, and the problem that the nodes with low residual energy are selected as the cluster heads is avoided. Since the parameter of the node depth is introduced in a clustering process, the quantity of members of the cluster heads close to sink nodes is small, part of energy can be saved for transferring data of the other cluster heads, and the 'hot-spot' effect is relieved. Besides, affections of node depth values, residual energy and the quantity of the members of the cluster heads are taken into consideration fully during the process of selecting the next-hop nodes for the cluster heads, and accordingly energy consumption of the nodes is balanced further and network lifetime is prolonged.

The invention discloses a method and a device for estimating the driving mileage of electric vehicles.The method includes determining initial driving mileage of the electric vehicles by the aid of vehicle control units according to current battery states of charge (SOC) of power batteries when the electric vehicles are started; acquiring battery parameters of the power batteries and vehicle speeds in real time by the aid of the vehicle control units after the electric vehicles are started, determining the average electricity consumption E and current residual energy E<S> of the batteries within the recent preset time periods T according to preset update intervals, the battery parameters and the vehicle speeds and determining the real-time driving mileage S<x> of the electric vehicles according to the E and the E<S>; storing the current driving mileage S<x> by the aid of the vehicle control units when the electric vehicles are parked and powered off.The battery parameters include voltages, currents and the SOC.The method and the device have the advantage that the estimation accuracy of the driving mileage of the electric vehicles can be effectively improved by the aid of the method and the device.

The invention relates to a wireless sensor network clustering routing method based on dual cluster head. The method comprises the following steps: a base station in a wireless sensor network sends an initialization message to the whole network; each node in the wireless sensor network reports a personal position, residual energy and node ID information to the base station; the base station acquires the position, the ID and the residual energy of the node in the wireless sensor network, and counts the total number of the node; the base station horizontally partitions a distribution region according to the counted information; a candidate main cluster head is elected according to the position, the ID and the residual energy of the node; different competitive radiuses are set according to a distance between the candidate main cluster head and the base station, a final main cluster head is elected in the competitive radius, and the final main cluster head is organized into a cluster. An intra-cluster transmission way and an inter-cluster transmission way are provided in data transmission. The technical scheme provided by the invention can solve the problem that the network survival period is short.

The invention discloses a data aggregation method based on non-uniform grids; the method comprises the steps: randomly distributing a certain number of isostructural sensor nodes in a deployment area and dividing the deployment area into grids with different areas; choosing a cluster head node of the grid in each grid according to the residual energy of the nodes and selectively adding the rest nodes into a cluster according to the principle of proximity; judging whether the data gathered by the member nodes in the cluster comply to Labus criterions; if so, considering that the nodes are valid and sending the data to the cluster head node; or else, not sending the data; aggregating the data of the valid member nodes and the generated data by the cluster head node according to the self-adaption aggregation algorithm; sending data to the nodes by the cluster head node in a multi-hop manner and knowing given round number at the end of the operation. The data aggregation method based on non-uniform grids has the advantages of long network life cycle and strong data effectiveness and can be widely applied to big-data collection and transmission of different-scale wireless sensor network.

An energy-regulating system for a vehicle, suitable for use in a mass transportation system between a departure station and an arrival station along a predetermined route, has advantageously a high-power electrical storage device placed on board the vehicle, supplying power to the vehicle, at least during acceleration. The energy recovered during braking of the vehicle is stored in the storage device. At least the departure station includes an electrical charging area capable of charging the storage device of the vehicle and activated in a charging mode as soon as the residual energy of the storage device of the vehicle is below a variable threshold dependent on an early estimate of the energy balance of the vehicle at least up to the arrival station.

The invention discloses a clustering method for efficiently utilizing energy in the perception layer of an environment monitoring internet of things, and is applicable to a hierarchical heterogeneous network structure. The clustering method comprises four stages as follows: 1) in region division stage, according to the best number of cluster heads, region in which wireless sensor nodes are randomly distributed is divided; 2) in the stage of selecting candidate cluster heads, the average distribution coordinate of the node in each divided region is calculated, then the coordinate is taken as the center of a circle to define a circular region, and the nodes in the circular region are taken as candidate nodes; 3) in the stage of determining the node of the cluster head, cluster node in each region is determined according to the residual energy of the candidate node; 4) in the stable data transmission stage, each cluster node transmits the data of own cluster to a base station. The invention has the advantages that by adopting the method, the distribution of the clusters is more uniform, and the energy consumption of the nodes is more even, so that the survival time of the network is effectively prolonged.

The invention provides an adjustable damping energy storage type tuned mass damper. A damping adjusting device of a damper of consists of a permanent magnet, coils, auxiliary rods, an energy storage battery, an adjustable resistor, a light-emitting diode (LED) pre-warning indicator light; in the reciprocating motion process that the damper absorbs the vibration energy of a main structure so as to generate inertial mass, a cylindrical spiral spring provides damping, the permanent magnet generates a variable magnetic field, induced electromotive force is generated in the coils so as to generate induction current, and the induction current generates electromagnetic damping to inhibit the movement of the permanent magnet; the adjustable resistor in the damping adjusting device is adjusted, so the magnitude of the electromagnetic damping is changed, and the damping ratio of a structure reaches the optimum damping ratio; and residual energy is recovered by using the energy storage battery, the LED pre-warning indicator light provides a pre-warning indication for a pedestrian and a vehicle, and multiple effects of vibration controlling, clean energy recovery, pre-warning and alarming of vibration conditions and the like.

A method and device for carrying out travel route planning for a vehicle, in which schedule data are transmitted to a calculation unit, which is coupled to a data memory, in which data relating to a path network for the vehicle and data relating to the geographic positions of energy supply facilities are stored. The calculation unit checks if a route sequence which connects the geographic positions of the destinations associated with the schedule data is calculable such that the destinations are reached at the associated time data of the schedule data, wherein the prognosticated residual energy amount in the energy store of the vehicle for travelling the route sequence is determined and taken into account, if no such route sequence is calculable using the calculation unit, the latter determines matched schedule data for which such a route sequence is calculable, and the matched schedule data are output.

The invention discloses a routing method of a double-cluster head wireless sensor network. The method comprises the following steps: performing network initialization; performing temporary clustering, and collecting the positions and the energy information of intra-cluster ordinary nodes by selected temporary cluster head nodes; selecting out the optimal main cluster head node and the optimal secondary cluster head node by utilizing the particle swarm optimization algorithm according to the information of the intra-cluster ordinary nodes collected by the temporary cluster head nodes and the collection energy consumption and transmission energy consumption minimization criterion; selecting the next-hop node by every secondary cluster head node according to the distance from the secondary cluster head nodes to an aggregation node and the residual energy information at the data transmission stage, and transmitting data to the aggregation node by multiple hops. According to the routing method of the double-cluster head wireless sensor network disclosed by the invention, the problem that loads of cluster heads are overweight can be effectively relieved, the respective energy usage ratios of the two cluster heads are improved, the cluster heads are prevented from rapidly dying, the energy consumption of the network is balanced, and the life cycle of the whole network is prolonged.