73 results about "Energy constrained" patented technology

An energy constrained device (100) includes a motion sensor (150) operative to detect motion of the device (100); a device position determinator (130); and a controller (110) operatively coupled to the motion sensor (150) and to the device position determinator (130) and operative to receive a device location request for the energy constrained device (100), to determine whether the energy constrained device (100) has moved based on the motion sensor (150), and to determine whether to request position information from the device position determinator (130) based on device movement. A method for saving power for a device position determinator (130) in a energy constrained device (100) includes determining whether position information has been requested from the device position determinator (130); and if not so, automatically switching the device position determinator (130) to a low power consumption mode.

The present inventors have recognized that proper utilization of reconfigurable event driven hardware may achieve optimum power conservation in energy constrained environments including a low power general purpose primary processor and one or more electronic sensors. Aspects of neurobiology and neuroscience, for example, may be utilized to provide such reconfigurable event driven hardware, thereby achieving energy-efficient continuous sensing and signature reporting in conjunction with the one or more electronic sensors while the primary processor enters a low power consumption mode. Such hardware is event driven and operates with extremely low energy requirements.

The invention relates to an energy-saving routing method for wireless sensor network based on power control. The invention relates to establishment of optimum communication power between node and neighbor, establishment of energy-optimizing route. The invention provides a power control method for minimizing communication power between nodes, based on that and designs an energy-saving routing protocol considering multipath total consumption and selecting path of minimum power consumption for data transmission based on AODV routing protocol; the routing protocol can save energy in energy-limited wireless sensor network.

The invention relates to a turbulence-degraded image blind restoration method based on dark channel and Alternating Direction Method of Multipliers. The method includes the following steps: firstly on the basis of the multiple dimension theory, in each dimension, applying dark channel prior constraint on an image, applying sparse constraint and energy constrain on a point spread function, then using the coordinate descent method and conducting alternating iteration to estimate a fuzzy kernel and the image in current dimension, if the dimensions arrive at the maximum thereof, a final estimated fuzzy kernel is obtained, finally, in combination with a total variation model, using a derivative Alternating Direction Method of Multipliers to make details of the image restored quickly. According to the invention, the method, by using the dark channel prior information of a clear image as a constraint item, can help a cost function to converge to a clear solution in the iteration process, addresses the susceptibility of obtaining a fuzzy solution by using tapered prior information under the Maximum posterior probability in current blind restoration algorithm, such that the method herein can restore more image details, has less ring effect, and effectively increases restoring quality.

The invention provides a reliable energy-saving hierarchical routing implementation method used for a wireless body area network or an energy-limited small wireless sensor network, and relates to the field of communication. The reliable energy-saving hierarchical routing implementation method used for the wireless body area network or the energy-limited small wireless sensor network aims to solve the problems that in the prior art, the energy is low in effective utilization and uneven in energy consumption on all-part of the network, and the network is short in life cycle. According to the method, the cycle is initialized so that sensor nodes in the network can obtain corresponding adjacent node information of the sensor nodes, and the Sink node obtains the whole network information and estimates the network condition; the nodes participating in competing for the cluster heads in the competition cycle compete and become the cluster heads by the adoption of a delay window mechanism, and the nodes becoming the cluster heads meet the requirements of the channel, position, energy and the like; the other nodes select appropriate cluster heads to guarantee that each node has the cluster head corresponding to the node in the cluster forming cycle, and no overlapping exists in the clusters; the cluster routing builds reliable routing transmission through an asteroid topological structure.

The invention provides a high-energy-efficiency robust precoding method suitable for a multi-beam satellite communication system. The method comprises the following steps: firstly, considering a channel propagation long delay characteristic in a satellite communication system, and representing channel phase uncertainty caused by channel state information feedback delay and the like by using a random variable; secondly, considering the characteristic of limited energy of the satellite communication system, solving mathematical expectation of the user rate about the random variables, dividing the minimum value in the user group by the total power consumption of the group to obtain the energy efficiency of the user group, and modeling a robust precoding design problem as a total power minimization problem under the constraint of the energy efficiency of the user group; and finally, converting an initial total power minimization problem into a series of convex optimization sub-problems foriterative solution through a positive semidefinite relaxation and sequential optimization method, and obtaining a precoding vector of each user group by adopting a Gaussian randomization method. Compared with a traditional precoding method, the high-energy-efficiency robust precoding method provided by the invention has the advantage that the performance and the energy efficiency of a multi-beamsatellite communication system can be remarkably improved.

The invention discloses a relay selection method in an energy constraint cooperative communication system. The relay selection method comprises the following realization steps that (1) M source nodes utilize K energy constraint relay nodes to carry out cooperative communication with target nodes D; (2) one relay node with the least rest energy is found and is marked as R*; (3) the life cycle T<S1R> of a link from S1 to R* to D is constructed; (4) the source nodes are ranked according to the T<S1R> in sequences from small ones to large ones, a new set S is obtained, a node counter is set, in addition, the initial value m of the node counter is set to be zero; (5) m is increased by 1, and the life cycle T<SmRj> of the link is constructed; (6) the relay node corresponding to the maximum value of the T<SmRj> is marked as Rm; (7) steps (5) to (6) are repeated until m is equal to M, the relay nodes Rm are ranked according to subscripts in sequences from small ones to large ones, and a new set R is obtained; and (8) the resource nodes in the set S are selected to carry out cooperative communication with the relay nodes with the same subscripts in the set R. The relay selection method has the advantages that the energy efficiency is high, the realization complexity is low, and the relay selection method can be used for the cooperative communication system in energy constraint environment.

The invention discloses a random relay selection method based on energy cooperation, and solves the problem of poor interruption performance caused by limited energy in a wireless relay network. According to the implementation scheme, a communication model for data transmission is set; a communication link is selected according to the position distribution condition of the relay node and the battery state of the source node, and the signal-to-noise ratio of the communication link and signals received by the relay node and the destination node is calculated; the source node and the relay node can collect energy from the environment and calculate the steady-state distribution of the battery and the energy consumption of the transmission link; and an interruption probability expression for measuring the system performance is obtained according to the signal-to-noise ratio and the battery steady-state distribution. According to the method, energy cooperation is introduced, energy cooperation is carried out on the source node and the relay node, communication link selection is carried out through steady-state distribution of the battery, the interruption probability of the relay model is obtained, and by adopting the method, the smaller interruption probability can be obtained, the performance is better, and the method is used for energy-carrying communication of the wireless relay network.

The invention discloses a wireless energy supply full duplex relay cooperation secret transmission method and system, and the method comprises the steps of enabling a relay to receive an energy signaltransmitted by an information source, and carry out the harvesting of energy; enabling the relay to receive the information which is sent by the information source and carries the private signal, forward the information to a legal receiving end by utilizing the harvested energy, and enabling an eavesdropping user to receive the information; calculating a secrecy rate lower bound in an imperfect eavesdropping channel state according to the information received by the legal receiving end and the eavesdropping user; and constructing an optimization problem of maximizing the secrecy rate, calculating an optimal solution of the optimization problem by adopting an iterative convergence optimization method, and performing information secrecy transmission according to the optimal secrecy rate onthe basis that the obtained optimal secrecy rate meets the lower bound of the secrecy rate. According to the method, the secrecy rate is maximized under the condition that the estimation error threshold value of the eavesdropping channel is known, and compared with an existing method, the method not only considers the influence of imperfect acquisition of the state information of the eavesdroppingchannel on information security transmission, but also considers the reuse of energy-limited relay antenna resources.

The invention relates to an entity identification method and system of an energy-constrained network. The method comprises the following steps: 1) an entity A sends an identification request message to an entity B; 2) after receiving the identification request message from the entity A, the entity B sends an identification response message to the entity A; and 3) the entity A judges the legality of the entity B according to the identification response message received in the step 2), thus the entity A completes the identification of the entity B; if the entity B is judged to be legal, an identification request confirming message is sent to the entity B, the session key of the entity B is calculated; and if the entity B is judged to be illegal, the identification response message is discarded. The system of the invention is suitable for the energy-constrained network and has the advantages of low cost, high computational efficiency, safe and reliable operation and the like.

The invention discloses a method for determining the position of a resonant repeater in a wireless rechargeable sensor network, which belongs to the field of node energy supplement in a wireless rechargeable sensor network. In a wireless rechargeable sensor network, a mobile charging trolley is used to supplement energy for sensor nodes. By introducing a resonant repeater, the sensor nodes can becharged in a multi-hop manner. The charging distance of the mobile trolley can be significantly extended, the delay for the nodes to wait for charging can be reduced, and the charging efficiency can be improved on the whole. In the invention, it is proposed to determine the charging position of the resonant repeater by making use of the property of the circumscribed circle of a triangle and the property of the midpoint of two nodes, and the sensor nodes in the network can be covered to the maximum with a smaller number of repeaters. The problem that the energy of the nodes in a wireless sensornetwork is limited can be solved, and the service life of the network can be prolonged.

The invention discloses a physical layer secure wireless relay communication method based on a game theory. The physical layer secure wireless relay communication method comprises the steps of: step 1, defining a communication model; step 2, defining security capacity of a physical layer; step 3, defining a primary user revenue function Up; step 4, defining a secondary user revenue function Ur; step 5, and establishing a game model. The physical layer secure wireless relay communication method can increase the security capacity by selecting the optimal relay, can select the optimal power for information transmission through power control, thereby achieving the effect of improving energy efficiency of the system. The physical layer secure wireless relay communication method has the effects of reducing eavesdropping probability and improving the energy efficiency of the system, solves the anti-eavesdropping problem in the broadcast environment, and is very suitable for the application scene with energy-constrained and distributed features and the like.

The invention discloses a mobile virtual reality language communication simulation learning calculation system and a mobile virtual reality language communication simulation learning calculation method. According to the invention, a mobile edge calculation system with an energy collection function is constructed; then, a task unloading decision of edge calculation is generated through a deep reinforcement learning method, the algorithm does not need any manually marked training data and learns from past task unloading experience, and task unloading actions generated by the DNN are improved through reinforcement learning; the convergence speed of the algorithm is increased by shrinking a local search method, and the trained DNN can realize online real-time task unloading decision; accordingto the method, energy collection is considered while task unloading calculation is considered. The problem of energy limitation of the mobile terminal can be solved. According to the method, the problems of time delay and energy consumption of large-scale calculation in the emerging fields of virtual reality and augmented reality are solved through cooperation of mobile edge calculation and cloudcalculation, and a user can achieve simulated learning of virtual reality language communication in a mobile environment.

The invention relates to a mobile energy supplement method for a wireless sensor and actuator network, and belongs to the research field of prolonging the lifetime of wireless sensor and actuator networks by using a wireless charging technology. The wireless sensor and actuator network has the advantages of perceiving, timely responding to and acting on the environment and the like. However, bothof the sensor and the actuator serving as core components of the network face the problem of energy constraint, which seriously restricts the lifetime of the network. Current work only considers the energy supplement problem of wireless sensor networks, but has not yet considered the energy supplement problem of wireless sensor and actuator networks that incorporate actuators with mobile and executive functions. The method well adapts to autonomous motion and long charging time of the actuators in the wireless sensor and actuator networks and high dynamic energy consumption characteristic caused in response to emergencies, and can ensure the energy supply of the actuators in the networks, simultaneously reduce the failure rates of sensor nodes as much as possible and maintain the long-termcontinuous operation of the entire networks.

The invention discloses a WRSN multi-mobile charger optimal scheduling method based on reinforcement learning, and belongs to the field of Internet of Things wireless rechargeable sensor networks. According to the invention, the neural network and the multi-agent reinforcement learning method are introduced into the charging path planning under the scene of multiple mobile chargers of the wireless rechargeable sensor network, and the multi-agent reinforcement learning is mainly utilized to solve the problems of efficient cooperation and optimal scheduling of the multiple mobile chargers in the wireless rechargeable sensor network. Under the condition that the energy of the mobile chargers and the sensor is limited, the charging paths of the chargers are optimized through mutual cooperation of the multiple mobile chargers, and the sensor node with the low electric quantity is charged in time. On the premise of ensuring that the sensor nodes do not die due to power shortage, the total moving path of each mobile charger is the shortest, and the charging efficiency is optimized on the whole.

The invention discloses an untrusted relay network secure transmission method based on an opportunity type wireless energy collection. The method is applied to a secure transmission system of an untrusted relay network, and the system comprises an information source node S, an energy-limited relay node R, a friendly interference node FJ and K destination nodes Dk (k belongs to {1,and the like, K}), wherein all nodes in the system are configured with single antennas and work in a half-duplex mode. The information transmission process from the source node to the destination node is completed ina time slot T. According to the method, a TPSR protocol is adopted on the cooperative relay, so that the energy collection efficiency can be improved; besides, an external interference node is adoptedto send artificial noise for cooperative interference, and an OS (Opportunistic Scheduling) strategy is adopted to select an Nth optimal destination node from the multi-user diversity network as an information receiving node. And the security transmission performance of the system network can be well evaluated.

The invention discloses a target direction and energy supply considered path planning method of an unmanned device, belongs to the field of path planning of unmanned devices, and aims at solving the problem that energy supply in a halfway energy station of the unmanned device is not taken into consideration in the prior art. A network topological diagram including a source node, a target node andan intermediate energy supply node is established, a path constrained condition is normalized into point and side weights, and an optimal path between the source node and the target node is calculatedaccording to the energy constrained condition of the target node and the future direction of the target node. Thus, the path planning process of the unmanned device is simplified, and the running cost of the unmanned device is reduced.

The invention discloses a non-orthogonal multiple access energy efficiency optimization method based on spatial modulation in unmanned aerial vehicle communication, and relates to the technical field of information and communication, in particular to a user power optimal distribution method based on a non-orthogonal multiple access technology, which is used for performing optimal distribution on transmitting power so as to improve the efficiency of system energy. In order to solve the problem of energy limitation of an unmanned aerial vehicle communication scene and the problem of spectrum resource shortage generally generated in the communication scene, the energy efficiency optimization method in a non-orthogonal multiple access technology based on spatial modulation is researched, and a system architecture can be described as follows: mapping a part of bit information to be transmitted to an antenna selection sequence; transmitting the remaining multi-user bit information via power domain superposition. According to the scheme, the power in the NOMA technology is optimally distributed, so that the energy efficiency of the system can be improved.

The invention discloses a decoding device of a parallel communication channel which is applied to a radio multimedia sensing network and comprises a parallel de-interleaving machine, a zero inserting device, a parallel viterbi code converter and a serial-to-parallel converter, the idea of splitting serial data into two ways of parallel data for the decoding operation of the communication channel is adopted, compared with a decoding device of a traditional communication channel, under the same working timepiece condition, the throughput of data is improved by one time through a mode of adding the viterbi code converter by the decoding device of the communication channel of the invention, under the same data rate condition, the working timepiece of the decoding device of the communication channel of the invention can be reduced by half, according to the energy consumption calculating formula of an integrated circuit, the working energy consumption of the decoding device of the communication channel of the invention is only one-fourth percent of the traditional communication channel decoding device, and the problem of energy limitation of the radio multimedia sensing network can be effectively released.

The invention provides a cooperative relay network and a transmission method thereof. The cooperative relay network comprises an information source, a cooperative relay node and a destination node, and when the information source transmits the information to the cooperative relay node, the cooperative relay node collects the energy required in the cooperative communication process from the information broadcasted by the information source. According to the invention, the working time of the energy-limited cooperative relay node is prolonged, and the service life is ensured. In addition, an antenna selection scheme is further utilized, the utilization rate of wireless channel resources is increased, and unnecessary waste of the wireless channel resources is avoided.

The invention provides a coding cache content placement and resource joint optimization method for a space-air-ground integrated network, and the method comprises the steps: designing a coding cache strategy composed of content placement and coding transmission in a hierarchical heterogeneous network composed of a satellite, an unmanned plane and a vehicle user; based on the strategy, performing joint optimization on cache content placement, transmission power of the system and unmanned aerial vehicle deployment, so the minimization of energy overhead of the system is realized, and the problem of energy limitation of the space-air-ground integrated network is relieved. The invention has the beneficial effects that the multicast opportunity between a satellite node and a plurality of unmanned aerial vehicle cache nodes is considered for a layered heterogeneous space-air-ground integrated network, and the transmission data volume of a backhaul link is reduced by using a coding cache strategy, so the energy overhead of the system is reduced, the heterogeneity of different coverage areas of the network is considered, the cache content placement is optimized, and the network performance is improved. Meanwhile, system transmission power distribution and unmanned aerial vehicle deployment are jointly optimized.

The invention discloses a satellite traffic routing method and system based on energy perception and load balancing. The method comprises the following steps: pre-calculating and storing a topologicaladjacency matrix, updating satellite congestion and energy information through a broadcast packet, and calculating a routing table according to routing schemes of different services. According to theinvention, the transmission demands of different service traffic are taken into consideration, transmission can be carried out via the shortest path on the premise of ensuring reliable transmission;through simulation verification, a routing algorithm can prolong the service life of a network, enables the network to have more uniform energy, reduces the loss rate of the packet, improves throughput, and effectively ensure the transmission of reliable services in an energy-limited network; and according to a provided flow classification routing algorithm, different routing schemes are adopted according to service characteristics,QoS requirements of different services can be met especially under the conditions of network congestion and a low network energy level, network load balance is realized, and the utilization of network resources is optimized.

A subthreshold standard cell library addresses the energy efficiency of electronic systems, thereby significantly reducing power consumption. Recent energy performance requirements are causing the next-generation system manufacturers to explore approaches to lower power consumption. Subthreshold operation has been examined and implemented in designing ultra-low power standard cell designs that operate beyond the normal modes of operation, with the potential for large energy savings. Operation of CMOS (Complementary Metal Oxide Semiconductor) transistors in the subthreshold regime, where the supply voltage used in operation is orders of magnitude below the normal operating voltage of typical transistors, has proven to be very beneficial for energy constrained systems as it enables minimum energy consumption in Application Specific Integrated Circuits (ASICs).