Central Node Selection for Low-Power Wireless Sensor Reporting
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Solution Overview
Problem
Existing wireless networks face inefficiencies in battery-powered devices due to limited computing and radio resources, particularly in reporting sensor data to cloud services, which affects power efficiency and device longevity.
Innovation Solution
A method to determine a central node in a wireless network using Euclidean distance matrices and Gaussian distributions to optimize event reporting, where each node reports to a single central node, reducing unnecessary reporting and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each node reports sensor events directly to the cloud service, then real-time access to information is achieved, but power consumption increases and battery life decreases
Solution Approach 1:
The patent introduces a central node as an intermediary between sensor nodes and the cloud service. Sensor nodes report events to the central node, which then communicates with the cloud service. This mediator approach allows real-time information access to be maintained while reducing the power consumption burden on battery-powered sensor nodes, as they only need to communicate with the central node rather than maintaining direct cloud connections.
Solution Approach 2:
The patent combines multiple sensor nodes' reporting functions through a central node. Instead of each node independently reporting to the cloud, the central node aggregates and manages reporting for multiple nodes. This merging reduces redundant communications and conserves power across the network while maintaining comprehensive monitoring capabilities.
2Reliability
If each node performs sensing and reports events to the cloud service, then complete monitoring coverage is achieved, but device complexity and computational requirements increase
Solution Approach 1:
The patent segments the reporting function from the sensing function. Sensor nodes perform only sensing and local event detection, while the central node handles the complexity of cloud communication, data aggregation, and coordination. This segmentation reduces the computational requirements and device complexity of individual sensor nodes while maintaining complete monitoring coverage through the distributed sensing network.
3Use of energy by moving object
If battery-powered devices operate with limited computing and radio resources, then power efficiency is improved, but network coordination and data aggregation become more difficult
Solution Approach 1:
The central node serves as an intermediary that handles the complex network coordination tasks. Battery-powered sensor nodes can operate with limited computing and radio resources by simply reporting to the central node, while the central node manages the heavier coordination burden with the cloud service and other nodes. This resolves the contradiction by centralizing coordination complexity while keeping individual node power consumption low.
Data Source
AI summary
Techniques and devices for determining a central node for reporting sensor data are described for an electronic device that inserts ranges between nodes in the wireless network into a Euclidean distance matrix (EDM) and decodes the EDM to generate a global topology for the nodes in the wireless network. The electronic device sums, for each node in the wireless network, events detected by each node during a predetermined time period and performs a kernel density filtering of the sums of the detected events over a two-dimensional space of the global topology. The electronic device calculates a product of Gaussian distributions calculated during the kernel density filtering and selects the node that is spatially closest to a peak of the product of Gaussian distributions as the central node for event reporting.