Patent classifications
H04W40/10
Handling communication of data in a bluetooth low energy (BLE), mesh network
Embodiments herein relate to e.g. a method performed by a network node (10) for handling communication of data in a Bluetooth Low Energy (BLE) mesh network (1). The network node obtains a neighbor table, wherein the neighbor table is based on messages received from different network nodes; and selects an association between network nodes in the BLE mesh network (1) taking the neighbor table into account.
Handling communication of data in a bluetooth low energy (BLE), mesh network
Embodiments herein relate to e.g. a method performed by a network node (10) for handling communication of data in a Bluetooth Low Energy (BLE) mesh network (1). The network node obtains a neighbor table, wherein the neighbor table is based on messages received from different network nodes; and selects an association between network nodes in the BLE mesh network (1) taking the neighbor table into account.
Clustering Routing Optimization Method Based on Adaptive Evolutionary Algorithm for Wireless Sensor Network
The present invention discloses a clustering routing optimization method based on adaptive evolutionary algorithm for a wireless sensor network, comprising following steps: performing population initialization by initial position and energy information of sensor nodes; calculating fitness values, and implementing iterative operation of elite preservation, adaptive crossover and mutation; after the iteration, selecting a cluster head; routing data packet of the cluster head to a base station. Convergence process of the evolutionary algorithm is improved by nonlinearly adjusting the probability of crossover and mutation; upper and lower bound of crossover and mutation operators are dynamically adjusted by fitness value; adding an incentive factor, adjusting the crossover and mutation probability when the fitness value tends to converge, and running the algorithm again to confirm that a new optimal value is generated. The global search capability and convergence speed of the algorithm are improved by the above method, and avoiding local convergence.
Clustering Routing Optimization Method Based on Adaptive Evolutionary Algorithm for Wireless Sensor Network
The present invention discloses a clustering routing optimization method based on adaptive evolutionary algorithm for a wireless sensor network, comprising following steps: performing population initialization by initial position and energy information of sensor nodes; calculating fitness values, and implementing iterative operation of elite preservation, adaptive crossover and mutation; after the iteration, selecting a cluster head; routing data packet of the cluster head to a base station. Convergence process of the evolutionary algorithm is improved by nonlinearly adjusting the probability of crossover and mutation; upper and lower bound of crossover and mutation operators are dynamically adjusted by fitness value; adding an incentive factor, adjusting the crossover and mutation probability when the fitness value tends to converge, and running the algorithm again to confirm that a new optimal value is generated. The global search capability and convergence speed of the algorithm are improved by the above method, and avoiding local convergence.
CLIENT STEERING BASED ON CLIENT BATTERY LEVEL
A network controller device for use with a first and second radio, and a client device, the first and second radio being configured to communicate with the network controller device and the client device on a first and second band. The network controller device includes: a memory of a priori history data; and a processor configured to execute the instructions stored in the memory to cause the network controller device to: determine the current battery level of the client device while wirelessly communicating on the first band; obtain the a priori history data; determine a battery level required to complete a service on the first band based on the a priori history data; and steer the client device to the second band when the determined battery level required to complete the service on the first band based on the a priori history data is less than the current battery level.
CLIENT STEERING BASED ON CLIENT BATTERY LEVEL
A network controller device for use with a first and second radio, and a client device, the first and second radio being configured to communicate with the network controller device and the client device on a first and second band. The network controller device includes: a memory of a priori history data; and a processor configured to execute the instructions stored in the memory to cause the network controller device to: determine the current battery level of the client device while wirelessly communicating on the first band; obtain the a priori history data; determine a battery level required to complete a service on the first band based on the a priori history data; and steer the client device to the second band when the determined battery level required to complete the service on the first band based on the a priori history data is less than the current battery level.
CONTROLLING NETWORK PARTICIPANTS TO SELECT RADIO POWER LEVELS THAT BEST SERVE THE NETWORK AND INDIVIDUAL PARTICIPANTS
A facility that controls participants in an ad hoc peer wireless network to use transmission power level settings and routing paths that best serve individual participants in the network and the network as a whole is described. Variously, the facility modulates transmission power levels to extend participant battery life and reduce the likelihood of radio interference in the network; establishes routing paths that contribute to the effectiveness and continuing operation of the network; and monitors for and responds to the occurrence of interference in the network's communications.
CONTROLLING NETWORK PARTICIPANTS TO SELECT RADIO POWER LEVELS THAT BEST SERVE THE NETWORK AND INDIVIDUAL PARTICIPANTS
A facility that controls participants in an ad hoc peer wireless network to use transmission power level settings and routing paths that best serve individual participants in the network and the network as a whole is described. Variously, the facility modulates transmission power levels to extend participant battery life and reduce the likelihood of radio interference in the network; establishes routing paths that contribute to the effectiveness and continuing operation of the network; and monitors for and responds to the occurrence of interference in the network's communications.
Wireless communication apparatus and method for selecting one or more relay communication devices based on historical and current energy information
An apparatus and method for wireless communication. The apparatus includes processing circuitry: configured to receive a relay establishment request from a source communication device; configured to acquire historical energy information and current energy information about a candidate communication device as a relay candidate, and to determine one or more relay communication devices to be used as a relay based on the acquired information; and configured to send information about the relay establishment to the one or more relay communication devices, the source communication device, and a destination communication device.
Wireless communication apparatus and method for selecting one or more relay communication devices based on historical and current energy information
An apparatus and method for wireless communication. The apparatus includes processing circuitry: configured to receive a relay establishment request from a source communication device; configured to acquire historical energy information and current energy information about a candidate communication device as a relay candidate, and to determine one or more relay communication devices to be used as a relay based on the acquired information; and configured to send information about the relay establishment to the one or more relay communication devices, the source communication device, and a destination communication device.