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151 results about "Energy sensing" patented technology

MEC (Mobile Edge Computing)-based energy-sensing unloading energy delay compromise proposal under Internet of vehicles

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.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

Building indoor environment optimization method based on model order reduction technology

The invention discloses a building indoor environment optimization method based on the model order reduction technology. The method mainly includes the three steps: (1) using CFD (computational fluid dynamics) software for steady-state simulation of the indoor environment, and constructing variation spaces of various environmental parameters; 2) reconstructing low-order parameter variation subspaces by the aid of the POD (proper orthogonal decomposition) technology; and 3) searching the optimal air conditioner air supply temperature and the optimal air conditioner air supply speed by operating the genetic algorithm. The variation subspaces of the indoor environmental parameters are constructed by the aid of the POD technology, so that influences of spatial distribution on the environmental parameters are considered fully in an optimizing strategy, and optimization accuracy is improved. The POD model order reduction method maps a control equation in an original space into one orthogonal subspace, and accordingly mapping error can be guaranteed to minimum in the energy sense. Besides, compared with a present environment optimization strategy, the building indoor environment optimization method based on the model order reduction technology has the advantages of high optimization precision, high speed and the like.
Owner:JIANGSU UNIV

Cognitive radio power allocation method based on joint optimization of energy efficiency and spectral efficiency

The invention discloses a cognitive radio power allocation method based on joint optimization of energy efficiency and spectral efficiency, and belongs to the technical field of wireless communicationresource allocation. The method comprises the following steps: 1. a cognitive user adopts an energy sensing method to perform spectrum sensing to obtain a detection probability and a false alarm probability of the cognitive user; 2. under the constraints of the average transmitting power of the cognitive user, the average interference power of a primary user and a detection probability threshold,an optimization model P1 of maximum energy efficiency and spectral efficiency is established; 3, optimization model P1 is equivalently converted; and 4. optimal power allocation, maximum energy efficiency and maximum spectral efficiency are solved to obtain the optimal power allocation and the maximum energy efficiency spectrum efficiency. By adoption of the cognitive radio power allocation method disclosed by the invention, the optimal perceptual time and the optimal power allocation can be performed while satisfying the spectral efficiency of the cognitive network and maximizing the energyefficiency of the cognitive user, and the optimal perceptual time and the optimal power allocation can also be performed while satisfying the energy efficiency of the cognitive network and maximizingthe spectral efficiency of the cognitive user .
Owner:JIANGSU UNIV OF TECH

Distributed fault-tolerant topology control method based on dump energy sensing

The invention discloses a distributed fault-tolerant topology control method based on dump energy sensing. The distributed fault-tolerant topology control method based on the dump energy sensing mainly solves the problem that balance of dump energy between nodes and network topology fault-tolerant capability can not be guaranteed at the same time in the prior art. The distributed fault-tolerant topology control method based on the dump energy sensing comprises the steps of broadcasting a HELLO package of each node in a network and receiving the HELLO package of an initial neighbor node, and establishing a local topology subgraph; construing a shortest path tree based on the local topology subgraph and according to link cost weight and constructing a local k communication generation subgraph by traversing all directed edges according to distance weight from small to large; adjusting emission power according to a one-hop neighbor node in the local k communication generation subgraph, and connecting non-logic neighbor nodes within the emission power range; and finally construing a whole network topology according to all the nodes in the network and links between the nodes and the logic neighbor nodes. The process can be repeatedly executed according to the updating cycle T of the topology. The distributed fault-tolerant topology control method based on the dump energy sensing has the advantages that life cycle of the network is prolonged, and fault-tolerant capability of the network is enhanced. The distributed fault-tolerant topology control method based on the dump energy sensing can be applied to a wireless self-organizing network.
Owner:XIDIAN UNIV

Cognitive heterogeneous network power distribution method based on cooperative spectrum sensing and disturbance constraints

The invention belongs to the technical field of a cognitive heterogeneous network and discloses a cognitive heterogeneous network power distribution method based on cooperative spectrum sensing and disturbance constraints. A cognitive heterogeneous network system model cooperates with other nodes to carry out spectrum sensing by use of multiple center secondary user nodes, a CSU cooperates with other PSU nodes to perform spectrum sensing, and an energy detection threshold is introduced, such that while the idle channel detection accuracy is improved, detection energy consumption is saved; by use of a joint operation equation for maximizing a data rate, optimal emission power is distributed to nodes under restricted constraints of disturbance power, such that the disturbance degree is reduced and the network throughput is optimized; and an experimental simulation result indicates that compared to a cooperative spectrum sensing distribution strategy algorithm based on clustering and an energy sensing competitive power distribution algorithm based on QoS constraints, the network throughput is improved by 3.4% and 1.5% respectively, and the average spectrum utilization rate is improved by 9.3% and 7.4% respectively.
Owner:广东财经大学华商学院
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