Abstract: This technology provides a sustainable enterprise framework for associated gateways in a network to leverage group level decisions and redistribute allocated energy budget among the associated gateways. The enterprise framework is configured to allocate Gateway Hourly Budget (GHB) as hourly spending limit to the associated gateways, autonomously electing gateway leader from the associated gateways, predicting hourly energy requirement for the associated gateways, calculating energy difference parameter between the allocated GHB and predicted hourly energy requirement, transmitting the hourly energy difference parameter to the autonomously elected gateway leader. The leader further re-computes GHB for the associated gateways for the forthcoming hour and redistributes energy budget by ordering the one or more associated gateways to reset the hourly spending limit with the recomputed GHB, thereby enabling optimal utilization of energy and maximum runtime to the appliances connected to the network.

Abstract: A system and method for generating an optimized operating schedule for a plurality of heterogeneous wireless network appliances managed by a gateway device in a closed area network is disclosed. An amount of energy consumed by each network appliance as well as preassigned operational priority values assigned to each network appliance per time slot over the designated time period is considered. A plurality of proposed operation schedules are iteratively generated, wherein each proposed operation schedule selectively assigns the network appliances to operate at various time slots based on their assigned operational priority values. An optimized schedule is selected which has a determined lowest aggregated total utility cost and a greatest aggregated operations value for the network appliances in the subset. The selected optimized schedule is then implemented by the gateway device to manage operation of the network appliances in the closed area network.

Abstract: A system, medium and method of managing, via a gateway device, to wirelessly communicate with a plurality of network appliances in a closed local area network is disclosed. A data message is received from a first network appliance configured to communicate data in association with a first application profile. The first application profile is retrieved from a locally stored application profile database upon being identified. A database is accessed at the gateway device containing policy information of the first network appliance and evaluated for one or more policy parameters. A first instruction command is generated at the gateway device based on the accessed policy information, wherein the instruction command conforms with the first application profile to instruct the first network appliance to perform a specified action. The instruction command is wirelessly transmitted from the gateway device to the first network appliance to cause it to perform a specified action.

Abstract: This technology provides a sustainable enterprise framework for associated gateways in a network to leverage group level decisions and redistribute allocated energy budget among the associated gateways. The enterprise framework is configured to allocate Gateway Hourly Budget (GHB) as hourly spending limit to the associated gateways, autonomously electing gateway leader from the associated gateways, predicting hourly energy requirement for the associated gateways, calculating energy difference parameter between the allocated GHB and predicted hourly energy requirement, transmitting the hourly energy difference parameter to the autonomously elected gateway leader. The leader further re-computes GHB for the associated gateways for the forthcoming hour and redistributes energy budget by ordering the one or more associated gateways to reset the hourly spending limit with the recomputed GHB, thereby enabling optimal utilization of energy and maximum runtime to the appliances connected to the network.

Abstract: This invention describes a system and method for dynamically establish and maintain a MASTER SLAVE Network among the devices with wireless and wired connectivity. It also provides system and method for maintaining a MASTER SLAVE network in the event where the SLAVE or the MASTER or the server is dead. More importantly, it supports automatic network discovery, establishment and maintenance to provide end to end connectivity by using minimum resources of an enterprise network.

Abstract: A system, medium and method of managing, via a gateway device, to wirelessly communicate with a plurality of network appliances in a closed local area network is disclosed. A data message is received from a first network appliance configured to communicate data in association with a first application profile. The first application profile is retrieved from a locally stored application profile database upon being identified. A database is accessed at the gateway device containing policy information of the first network appliance and evaluated for one or more policy parameters. A first instruction command is generated at the gateway device based on the accessed policy information, wherein the instruction command conforms with the first application profile to instruct the first network appliance to perform a specified action. The instruction command is wirelessly transmitted from the gateway device to the first network appliance to cause it to perform a specified action.

Abstract: A system and method for generating an optimized operating schedule for a plurality of heterogeneous wireless network appliances managed by a gateway device in a closed area network is disclosed. An amount of energy consumed by each network appliance as well as preassigned operational priority values assigned to each network appliance per time slot over the designated time period is considered. A plurality of proposed operation schedules are iteratively generated, wherein each proposed operation schedule selectively assigns the network appliances to operate at various time slots based on their assigned operational priority values. An optimized schedule is selected which has a determined lowest aggregated total utility cost and a greatest aggregated operations value for the network appliances in the subset. The selected optimized schedule is then implemented by the gateway device to manage operation of the network appliances in the closed area network.

Abstract: Systems and methods are disclosed for a policy-based, power consumption management of resources. Power consumption data is relayed to an event management system for conducting a pattern analysis of the resources based on historical values and external factors. The event management system may provide a graphical interface for implement decisions pertaining to resource management and effective policy enforcements. The energy management system is further configured to communicate with a data layer to receive measured values.

Abstract: One aspect of the invention provides a theft detection system including one or more tag nodes configured to detect movement and transmit a beacon message and one or more anchor nodes configured to receive the beacon message from the one or more tag nodes and alert a third party of the beacon message. Another aspect of the invention provides a theft detection node including a power source, a motion detector, a transmitter, and a microcontroller in communication with the power source, the motion detector, and the transmitter. The microcontroller is configured to determine whether the node is being transported and if the node is being transported, instructing the transmitter to transmit a beacon message. Another aspect of the invention provides a theft detection method including detecting motion in a motor vehicle and transmitting a beacon message to an anchor node.

Abstract: The invention relates to a system and method for predicting abnormal temperature of a server room using Hidden Markov model. This invention involves capturing the real temperature value at a given point of time through sensors and determining that the temperature patterns follow the Normal Distribution. Then the Hidden Markov model is designed that works on the Normal Distributed data to help in predicting the future temperature with some probability.

Abstract: This invention describes a system and method for dynamically establish and maintain a MASTER SLAVE Network among the devices with wireless and wired connectivity. It also provides system and method for maintaining a MASTER SLAVE network in the event where the SLAVE or the MASTER or the server is dead. More importantly, it supports automatic network discovery, establishment and maintenance to provide end to end connectivity by using minimum resources of an enterprise network.