Gateway Device Optimizing Network Appliance Schedules
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Solution Overview
Problem
Current ZigBee network systems face challenges in efficiently managing energy consumption and load balancing across heterogeneous network appliances in closed area networks, leading to increased energy costs and network congestion due to the sheer handling of machine-to-machine communications and traditional network messaging.
Innovation Solution
A system and method that involves a gateway device identifying network appliances, determining energy consumption, and generating optimized operation schedules based on operational priority values to minimize aggregated total utility costs and maximize operational values, thereby implementing an optimized schedule for managing network appliances in closed area networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If servers handle all machine-to-machine communications and traditional network messaging in wide area networks, then network appliances can communicate reliably, but the wide area network becomes congested and energy consumption increases
Solution Approach 1:
The patent segments network management functions by introducing a gateway device that handles local machine-to-machine communications within the personal area network, separating these local communications from wide area network traffic. This segmentation allows reliable local communications without congesting the wide area network, as the gateway device processes and manages communications locally rather than routing all traffic through servers over the wide area network
Solution Approach 2:
The gateway device acts as an intermediary between network appliances and the wide area network. It receives sensor data from network appliances, manages local communications, and only relays necessary information to servers, thereby reducing wide area network congestion while maintaining communication reliability through proper mediation of traffic flows
2Adaptability or versatility
If multiple heterogeneous network appliances with different application profiles communicate in a personal area network, then functionality and versatility increase, but data handling complexity and energy consumption increase
Solution Approach 1:
The gateway device dynamically changes operational parameters by generating optimized schedules that assign different time slots to network appliances based on their specific application profiles, energy consumption characteristics, and operational priorities. This parameter optimization allows the system to accommodate heterogeneous appliances with different requirements while minimizing overall energy consumption through time-based resource allocation
Solution Approach 2:
The system implements dynamic schedule generation that adapts to the specific needs of different network appliances. The gateway device continuously optimizes communication schedules based on current network conditions, appliance priorities, and energy constraints, allowing the system to dynamically adjust to heterogeneous appliance requirements rather than using static configurations
3Reliability
If network appliances operate continuously to ensure operational availability, then service reliability improves, but energy consumption increases
Solution Approach 1:
The patent implements periodic action through optimized scheduling that assigns specific time slots to network appliances for operation. Instead of continuous operation, appliances are activated periodically according to their priority values and operational requirements, ensuring necessary availability while consuming energy only when needed. The gateway device manages these periodic activations based on aggregated energy consumption calculations
Data Source
AI summary
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.