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.

Exemplary surveillance system is provided having a plurality of data generating devices, and nodes for data handling of the data streams generated from the data generating devices. The system may be configured to fragment the data streams and store the fragments among the plurality of nodes of the system. The system may be configured to redundantly transmit data through the nodes so the fragmented data stream arrive at the desired location for storage. The data transmission may permit redirection or retransmission based on node or data transmission failure.

Aspects of the invention are directed towards a system and a method for configuring a communication interval of one or more sensing devices. One or more embodiments of the invention describe a method comprising steps of receiving a signal strength value from one or more sensing devices and determining an apparent distance between a regulating device and each of the one or more sensing devices based on the signal strength value. The method further comprising step dynamically ranking the one or more sensing devices based on the apparent distance and based on the ranking of the one or more sensing devices, configuring a communication interval for each of the one or more sensing devices.

A system and method to determine location information with respect to a plurality of portable devices, with potentially a large number of portable devices such as 40 or more portable devices in proximity to the system. The system may connect to and locate each of the plurality of portable devices in proximity to the system. The location information may be determined with respect to an object, such as a vehicle or building, and optionally within a larger system of objects, such as a mass transit system.

A system and method to determine location information with respect to a plurality of portable devices, with potentially a large number of portable devices such as 40 or more portable devices in proximity to the system. The system may connect to and locate each of the plurality of portable devices in proximity to the system. The location information may be determined with respect to an object, such as a vehicle or building, and optionally within a larger system of objects, such as a mass transit system.

A system and methods for estimating the location of a mobile device are disclosed. In accordance with one embodiment, a mobile device located within a first corridor of a building receives (1) a first wireless electromagnetic signal and a first ultrasound signal from a first beacon located in the first corridor, (2) a second wireless electromagnetic signal and a second ultrasound signal from a second beacon located in the first corridor, and (3) a third wireless electromagnetic signal from a third beacon located in a second corridor of the building. The first wireless electromagnetic signal, the first ultrasound signal, the second wireless electromagnetic signal, and the second ultrasound signal are used to estimate a location of the mobile device.

A system and methods for estimating the location of a mobile device are disclosed. In accordance with one embodiment, a mobile device located within a first corridor of a building receives (1) a first wireless electromagnetic signal and a first ultrasound signal from a first beacon located in the first corridor, (2) a second wireless electromagnetic signal and a second ultrasound signal from a second beacon located in the first corridor, and (3) a third wireless electromagnetic signal from a third beacon located in a second corridor of the building. The first wireless electromagnetic signal, the first ultrasound signal, the second wireless electromagnetic signal, and the second ultrasound signal are used to estimate a location of the mobile device.

A multi-member Bluetooth device for communicating data with a remote Bluetooth device is disclosed including: a main Bluetooth circuit and an auxiliary Bluetooth circuit. In the period during which the auxiliary Bluetooth circuit operates at a sniffing mode, the auxiliary Bluetooth circuit sniffs packets transmitted from the remote Bluetooth device while the main Bluetooth circuit receives packets issued from the remote Bluetooth device, and the auxiliary Bluetooth circuit switches from the sniffing mode to a relay mode if the throughput of packets sniffed by the auxiliary Bluetooth circuit is lower than a predetermined threshold. In the period during which the auxiliary Bluetooth circuit operates at the relay mode, the main Bluetooth circuit receives packets transmitted from the remote Bluetooth device and forwards the received packets to the auxiliary Bluetooth circuit, and the auxiliary Bluetooth circuit does not sniff packets issued from the remote Bluetooth device.

A positioning system and a method based on neural network models are provided. The positioning method includes collecting WI-FI® fingerprint data; configuring a computing device to receive the WI-FI® fingerprint data, and the computing device includes a processor and a database storing positioning map data and a group of neural network models including a global positioning model, a coarse positioning model and a fine positioning model; configuring the processor to input the WI-FI® fingerprint data and perform the following steps: estimating a global coordinate through the global positioning model; obtaining the corresponding coarse positioning model from a corresponding primary sub-region to estimate an estimated coarse coordinate of a current position; estimating a plurality of estimated fine coordinates of the current position from the corresponding fine positioning model; and performing a merging process on the estimated fine coordinates to generate a final coordinate.

A positioning system and a method based on neural network models are provided. The positioning method includes collecting WI-FI® fingerprint data; configuring a computing device to receive the WI-FI® fingerprint data, and the computing device includes a processor and a database storing positioning map data and a group of neural network models including a global positioning model, a coarse positioning model and a fine positioning model; configuring the processor to input the WI-FI® fingerprint data and perform the following steps: estimating a global coordinate through the global positioning model; obtaining the corresponding coarse positioning model from a corresponding primary sub-region to estimate an estimated coarse coordinate of a current position; estimating a plurality of estimated fine coordinates of the current position from the corresponding fine positioning model; and performing a merging process on the estimated fine coordinates to generate a final coordinate.