Sensor Node Self-Organization for Wireless Surveillance Networks
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Solution Overview
Problem
Conventional wireless sensor networks are limited in their ability to process and communicate raw image data due to power constraints and bandwidth issues, making them inefficient for surveillance applications that require real-time visual detection and tracking of events.
Innovation Solution
The system enables sensor nodes to detect information-based events, determine overlapping fields of view with neighboring nodes, and establish communication links to distribute image processing, thereby reducing unnecessary communication and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If sensor nodes send raw image data to centralized base station for processing, then processing capability is improved, but communication bandwidth is overloaded and power consumption increases
Solution Approach 1:
The patent segments the image processing function by distributing it across multiple sensor nodes rather than concentrating it at a centralized base station. Each sensor node processes images locally to extract relevant information, reducing the volume of data that needs to be transmitted over the communication network while maintaining processing capability.
Solution Approach 2:
The patent extracts only the relevant information from raw image data at the sensor node level before transmission. By extracting key features and relevant information locally, the system reduces communication bandwidth requirements while preserving the essential processing capabilities needed for surveillance applications.
2Measurement precision
If sensor nodes continuously monitor and communicate, then detection accuracy is improved, but power consumption increases
Solution Approach 1:
The patent performs preliminary image processing and event detection at each sensor node before transmission to the base station. By pre-processing images locally to identify and filter relevant events, the system maintains detection accuracy while reducing unnecessary communication and power consumption during periods when no events are detected.
Solution Approach 2:
Each sensor node autonomously processes its own images and determines locally whether transmission is necessary. This self-service approach allows nodes to maintain accurate local detection while avoiding unnecessary communication overhead and power consumption when no events require reporting.
3Quantity of substance
If sensor nodes process images locally, then communication bandwidth is reduced, but processing power and computational resources are consumed
Solution Approach 1:
The patent applies local quality by enabling each sensor node to process only the images it captures locally, rather than requiring all nodes to process all data. This distributed approach reduces communication bandwidth while distributing the processing power burden across multiple nodes, making the system more efficient overall.
4Device complexity
If conventional wireless sensor nodes are used, then device simplicity is maintained, but image processing capability is insufficient
Solution Approach 1:
The patent implements multi-functionality by enabling sensor nodes to perform multiple functions: capturing images, processing images locally, detecting events, and communicating with both neighboring nodes and the base station. This universal approach enhances image processing capability while maintaining the basic simplicity of wireless sensor node architecture.
Data Source
AI summary
A sensor node detects a plurality of information-based events. The sensor node determines whether at least one other sensor node is an information neighbor of the sensor node based on at least a portion of the plurality of information-based events. The information neighbor has an overlapping field of view with the sensor node. The sensor node sends at least one communication to the at least one other sensor node that is an information neighbor of the sensor node in response to at least one information-based event of the plurality of information-based events.