Patent classifications
H04W40/10
Communication device and communication system
[Object] Effectively perform data communication [Solving Means] A communication device includes: a LINK that generates a first output signal on a basis of a first external signal from a first external device, outputs the first output signal to a second external device, generates a second output signal on a basis of a second external signal from the second external device, and outputs the second output signal to the first external device, in which each of the first output signal and the second external signal includes command information indicating content of a command transmitted from the first external device, final-destination-device-identification-information for identifying a final destination device of data transmitted from the first external device, internal address information indicating an internal address of the final destination device, data length information indicating a length of the data transmitted from the first external device, and data-end-position-information indicating an end position of the data transmitted from the first external device.
Communication device and communication system
[Object] Effectively perform data communication [Solving Means] A communication device includes: a LINK that generates a first output signal on a basis of a first external signal from a first external device, outputs the first output signal to a second external device, generates a second output signal on a basis of a second external signal from the second external device, and outputs the second output signal to the first external device, in which each of the first output signal and the second external signal includes command information indicating content of a command transmitted from the first external device, final-destination-device-identification-information for identifying a final destination device of data transmitted from the first external device, internal address information indicating an internal address of the final destination device, data length information indicating a length of the data transmitted from the first external device, and data-end-position-information indicating an end position of the data transmitted from the first external device.
Systems and methods for bandwidth part selection initiated by a user equipment
A user equipment transmits user equipment information, associated with a communication of the user equipment, to permit a base station to select a first bandwidth part, a second bandwidth part, or a third bandwidth part. The user equipment is configured to communicate by the first bandwidth part, the second bandwidth part, and the third bandwidth part. The user equipment receives, from the base station, an instruction to monitor the first bandwidth part, the second bandwidth part, or the third bandwidth part. The instruction is selected based on the user equipment information. The user equipment monitors, based on the instruction, the first bandwidth part, the second bandwidth part, or the third bandwidth part.
Power savings for wireless sensors
A sensing system includes a wireless sensor configured to detect a current sensed value of an environmental condition, the wireless sensor programmed with a delta threshold; a thermostat in communication with the wireless sensor; wherein, when the current sensed value differs from a prior transmitted sensed value by more than the delta threshold, the wireless sensor transmits the current sensed value to the thermostat; wherein, when the current sensed value differs from the prior transmitted sensed value by less than the delta threshold, the wireless sensor stores the current sensed value as a stored sensed value.
Power savings for wireless sensors
A sensing system includes a wireless sensor configured to detect a current sensed value of an environmental condition, the wireless sensor programmed with a delta threshold; a thermostat in communication with the wireless sensor; wherein, when the current sensed value differs from a prior transmitted sensed value by more than the delta threshold, the wireless sensor transmits the current sensed value to the thermostat; wherein, when the current sensed value differs from the prior transmitted sensed value by less than the delta threshold, the wireless sensor stores the current sensed value as a stored sensed value.
METHOD FOR ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK BASED ON MULTI-AGENT DEEP REINFORCEMENT LEARNING
A method for energy efficient routing in wireless sensor network based on multi-agent deep reinforcement learning, predefines a to-be-deployed wireless sensor network and creates a cooperative routing decision system including A decision networks and one sink module, A decision networks deployed on the agents a.sup.i, i=1, 2, . . . , A, of the sensor nodes, the sink module deployed on the sink node n.sup.0. The decision network obtains a probability vector according to its local observation and position vectors. The sink module calculates a routing for each sensor node according the probability vectors of A decision networks and sends the routings to corresponding sensor nodes. A multi-agent deep reinforcement learning algorithm is adopted to train the decision networks of A agents a.sup.i, i=1, 2, . . . , A of the cooperative routing decision system, deploys the to-be-deployed wireless sensor network into an environment and updates the routing policy of the deployed wireless sensor network at each update cycle of routing.
METHOD FOR ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK BASED ON MULTI-AGENT DEEP REINFORCEMENT LEARNING
A method for energy efficient routing in wireless sensor network based on multi-agent deep reinforcement learning, predefines a to-be-deployed wireless sensor network and creates a cooperative routing decision system including A decision networks and one sink module, A decision networks deployed on the agents a.sup.i, i=1, 2, . . . , A, of the sensor nodes, the sink module deployed on the sink node n.sup.0. The decision network obtains a probability vector according to its local observation and position vectors. The sink module calculates a routing for each sensor node according the probability vectors of A decision networks and sends the routings to corresponding sensor nodes. A multi-agent deep reinforcement learning algorithm is adopted to train the decision networks of A agents a.sup.i, i=1, 2, . . . , A of the cooperative routing decision system, deploys the to-be-deployed wireless sensor network into an environment and updates the routing policy of the deployed wireless sensor network at each update cycle of routing.
Communication device and communication system
[Object] Effectively perform data communication [Solving Means] A communication device includes: a LINK that generates a first output signal on a basis of a first external signal from a first external device, outputs the first output signal to a second external device, generates a second output signal on a basis of a second external signal from the second external device, and outputs the second output signal to the first external device, in which each of the first output signal and the second external signal includes command information indicating content of a command transmitted from the first external device, final-destination-device-identification-information for identifying a final destination device of data transmitted from the first external device, internal address information indicating an internal address of the final destination device, data length information indicating a length of the data transmitted from the first external device, and data-end-position-information indicating an end position of the data transmitted from the first external device.
Communication device and communication system
[Object] Effectively perform data communication [Solving Means] A communication device includes: a LINK that generates a first output signal on a basis of a first external signal from a first external device, outputs the first output signal to a second external device, generates a second output signal on a basis of a second external signal from the second external device, and outputs the second output signal to the first external device, in which each of the first output signal and the second external signal includes command information indicating content of a command transmitted from the first external device, final-destination-device-identification-information for identifying a final destination device of data transmitted from the first external device, internal address information indicating an internal address of the final destination device, data length information indicating a length of the data transmitted from the first external device, and data-end-position-information indicating an end position of the data transmitted from the first external device.
BUILDING STRESS BALANCE MONITORING SYSTEM OF PASSIVE SENSOR NETWORK
The building stress balance monitoring system of the passive sensor network, relating to the technical field of information, and aiming to solve the problem of making the pressure sensor easier to be charged in building stress monitoring. The system includes plurality of nodes arranged in the same building surface of the building or arranged in the supporting surface of the bridge; each node mainly consists of the pressure sensor module, the radio frequency signal acquisition module, and the network module; the sensing surface of the pressure sensing module acquires building pressure information and transmits same to the pressure sensor module; the pressure sensor module receives electric energy provided by the radio frequency signal acquisition module, and converts the pressure information into data, which can be uploaded to the network through the network module. The effect of making the pressure sensor easier to be charged is achieved.