A method for propagating network management data for energy-efficient internet of things network management and an energy-efficient internet of things node apparatus are disclosed herein. The method includes dividing a plurality of sub-nodes into at least two terminal sub-nodes and the remaining intermediate sub-nodes, and determining a transmission path so that the terminal sub-nodes and the intermediate sub-nodes satisfy an acyclic graph condition, dividing the plurality of pieces of data of network management information into at least two data groups, and transmitting one of the at least two data groups to one of the terminal sub-nodes respectively, transmitting the data of the received data group to adjacent intermediate sub-nodes, performing network coding on selected two pieces of data, transmitting the network-coded data to the at least two intermediate adjacent sub-nodes, and decoding the received network-coded data using previously held data.

Methods, systems, and apparatus for monitoring and controlling electronic devices through the use of wired and wireless protocols. The systems and apparatuses may monitor their environment for signals from electronic devices. They may then take and disambiguate the signals that are received from the devices in their environment in order to identify said devices and associate control signals with them. The systems and apparatuses may then use communication means to send control signals to the identified electronic devices. Input and output transmission means for the systems and apparatuses may include, but are not limited to, powerline communication, Wi-Fi, Bluetooth, ZigBee, and 6LoWPAN. Signal processing and device identification may be done onboard the device, or may be done at a remote location. Multiple apparatuses or systems may be connected together into networks, including mesh networks, in order to make for a more robust architecture.

Provided are an apparatus and a method for changing a status of cluster nodes, which determine whether to change statuses of respective cluster nodes themselves to an active status or a standby status without intervention by a manager through self-diagnosis and change the status of the nodes.

Embodiments are provided for a multi-objective scheme for solving a cell switch-off problem. The multi-objective solution seeks to minimize or reduce network energy consumption by switching off some of the cells in the network while allowing enough capacity according to traffic needs and quality of service requirement. An embodiment method includes determining, for each one of a plurality of established traffic profiles, a set of solutions with respect to a number of active cells from a plurality of cells in the network and an aggregate network capacity. The method further includes matching a given traffic profile to one of the established traffic profiles, and evaluating performances of the solutions corresponding to that traffic profile. A solution from the solutions is then selected in accordance with the evaluation. The selected solution indicates which of the cells in the wireless network to be switched off.

According to an implementation, a method for signaling that a first network node exists in a network is following entry of the first network node into a reduced power mode includes receiving, in a second network node, an indication that the first network node will enter into the reduced-power mode. The method also includes generating information that signals the existence of the first network node and that the first network node is reachable in the network and communicating the information to the network such that the second network node operates as a proxy advertiser for the first network node following entry of the first network node into the reduced-power mode.

Link speed control systems for power optimization are disclosed. In one aspect, a communication link adjusts a data transfer speed based on link utilization levels. In a second exemplary aspect, one or more conditions affecting a link speed are weighted and collectively evaluated to determine an efficient or optimal link speed. By adjusting the link speed in this fashion, lower link speeds may be used, and net power savings may be effectuated.

Systems and methods for preparing and re-commissioning a controlled device in a home area network are described. A utility meter is communicated with. An authentication key and encryption data for communicating with the utility meter may be determined. The authentication key and encryption data are sent to a controlled device. A set of translation rules for a message are determined. The translation rules are sent to the controlled device. The controlled device establishes a secure communication link with the utility meter using the authentication key and the encryption data. The controlled device receives a request to change power usage from the utility meter over the secure communication link. The controlled device translates the request to change power usage into control instructions using the translation rules.

Certain aspects involve power management subsystems for a distributed antenna system (“DAS”) or other telecommunication system. The power management subsystem can include a measurement module and an optimization module. The measurement module can monitor a utilization metric for a remote unit in the DAS or other telecommunication system. The power optimization module can determine whether the remote unit is underutilized based on the monitored utilization metric. The power optimization module can configure the remote unit for a low-power operation in response to determining that the remote unit is underutilized.

Systems and methods for tracking resources used by triggers such as alarms and timers that are used by mobile applications to schedule tasks and intelligently manipulating the timing of the triggers to optimize usage of resources such as, but not limited to: network, battery, CPU and/or memory are disclosed. In one embodiment, an intelligent alarm manipulator and resource tracker tracks triggers from multiple applications on a mobile device and corresponding use of resources resulting from the triggers on a mobile device. The intelligent alarm manipulator and resource tracker further determines correlations between the triggers and the corresponding use of the resources on the mobile device and manipulates, based on the correlations, timing or frequency of some or all of the triggers to optimize the use of the resources on the mobile device.

The present disclosure relates to an energy-efficient optimized computing offloading method for a vehicular edge computing network and a system thereof; the method comprises: calculating the energy efficiency cost EEC of local computing; calculating the energy efficiency cost EEC of mobile edge computing; determining an optimal offloading decision based on the energy efficiency cost of local computing and the energy efficiency cost of mobile edge computing; determining an optimal CPU frequency and an optimal transmit power of the vehicle based on the optimal offloading decision; and determining the optimal offloading time of the vehicle based on the optimal CPU frequency and the optimal transmit power of the vehicle. The method of the present disclosure can improve the computing offloading efficiency.