RF Sensing Technology Selection for Node-Level Energy Tradeoffs
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Solution Overview
Problem
Existing RF-based sensing technologies do not optimize communication technologies for individual nodes based on specific requirements, leading to suboptimal performance in terms of energy consumption, detection accuracy, and network traffic management.
Innovation Solution
A communication technology selection device that selects the optimal communication technology for each node in an RF-based sensing system based on parameters such as sensing application, quality, system resources, and context, allowing nodes to use different communication technologies for improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single communication technology is used for all nodes in an RF-based sensing system, then device complexity is reduced and ease of operation is improved, but sensing performance and energy efficiency are suboptimal because the communication technology cannot be optimized for individual node requirements
Solution Approach 1:
The patent applies local quality by enabling each node to use a different communication technology (e.g., Wi-Fi, Bluetooth, Zigbee, LoRa) based on its specific requirements such as energy consumption needs, detection accuracy requirements, and network traffic characteristics. This allows optimal sensing performance for each node while maintaining system-wide compatibility through a standardized selection framework.
Solution Approach 2:
The patent implements dynamics by introducing a communication technology selection device that dynamically evaluates multiple parameters (energy consumption, detection accuracy, network traffic, latency, packet loss) and selects the most appropriate communication technology for each node based on current system conditions and node-specific requirements, rather than using a static single-technology approach.
2Reliability
If high-bandwidth communication technology is used for all nodes, then network traffic capacity and detection accuracy are improved, but energy consumption increases significantly for nodes with low battery life
Solution Approach 1:
The patent enables different nodes to use different communication technologies based on their energy constraints. Nodes with low battery life can be assigned low-energy technologies like Bluetooth Low Energy or Zigbee, while nodes with sufficient power can use high-bandwidth Wi-Fi for superior detection accuracy, optimizing the energy-accuracy tradeoff at each node level.
Solution Approach 2:
The patent changes the communication technology parameter for each node based on energy consumption requirements. The selection device evaluates energy availability and adjusts the communication technology accordingly, allowing the system to adapt bandwidth and power consumption characteristics to match each node's energy state.
3Use of energy by moving object
If low-energy communication technology is used for all nodes, then energy consumption is reduced and battery life is extended, but network traffic capacity and sensing performance deteriorate due to limited bandwidth
Solution Approach 1:
The patent allows nodes with high energy availability to use high-bandwidth communication technologies like Wi-Fi to maintain high network traffic capacity and sensing productivity, while nodes with energy constraints use low-energy technologies. This localized optimization ensures each node operates at its optimal energy-performance point.
Solution Approach 2:
The patent creates a universal RF-based sensing system that supports multiple communication technologies (Wi-Fi, Bluetooth, Zigbee, LoRa) simultaneously, allowing the system to function effectively across diverse energy and performance requirements. The selection device universally evaluates all available technologies and assigns the most appropriate one to each node.
4Reliability
If communication technology is optimized for each individual node based on multiple parameters, then sensing performance and energy efficiency are improved, but system complexity and difficulty of management increase
Solution Approach 1:
The patent implements self-service by enabling nodes to autonomously report their requirements (energy status, sensing needs, network conditions) to the communication technology selection device, which then automatically assigns the optimal communication technology. This reduces manual configuration complexity while maintaining performance optimization.
Solution Approach 2:
The patent incorporates feedback mechanisms where nodes continuously report their operational status and the selection device monitors sensing performance metrics. This feedback loop allows the system to dynamically adjust communication technology assignments, simplifying management while maintaining optimal performance through automated decision-making.
Data Source
AI summary
The present invention relates to selecting a communication technology (34, 36) in a radio frequency (RF)-based sensing system (100) with one or more nodes (26, 28, 30). The RF-based sensing system (100) is configured for performing RF-based sensing using one or more of two or more different communication technologies (34, 36). A communication technology (34) for performing RF-based sensing in the RF-based sensing system (100) is selected for one or more of the nodes (26, 28, 30) based on one or more parameters related to RF-based sensing in the RF-based sensing system (100). A communication technology (36) optimal for a current sensing application with a current sensing quality requirement in a current context considering the available system resources can be selected. The communication technologies can be wideband (34) and narrowband (36) communication technologies. The parameters can include sensing application parameters, sensing quality parameters, system resource parameters, and contextual parameters.