Swarming Sensor Network for Intrusion Detection
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Solution Overview
Problem
Existing security zone monitoring systems are complex, power-intensive, and prone to detection evasion, requiring high-bandwidth camera nodes and specific sensor placements that are difficult to scale economically and technically.
Innovation Solution
A swarming inferential sensor network using simple, autonomous sensor nodes that communicate through rudimentary tones, allowing for scalable, low-power monitoring with minimal protocol usage, and featuring localized actions and remote power density detection to alert intrusions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video monitoring is used, then security monitoring capability is improved, but system complexity and bandwidth requirements increase significantly
Solution Approach 1:
The system divides the security monitoring function into many simple, distributed sensor nodes rather than using a few complex video cameras. Each sensor node is inexpensive and simple, but collectively they provide comprehensive monitoring coverage through their distributed arrangement throughout the security zone.
Solution Approach 2:
The patent uses multiple copies of simple sensor nodes instead of expensive video cameras. These identical, inexpensive nodes are deployed throughout the area and work together to provide the same monitoring capability that would require complex, high-bandwidth camera systems.
2Reliability
If IR moving object detectors are placed at predictable locations, then detection coverage is improved, but the system becomes vulnerable to evasion and disabling
Solution Approach 1:
Instead of using a few predictable detector locations, the system segments detection into many distributed sensor nodes placed throughout the security zone. This distributed arrangement makes it impossible for intruders to anticipate and evade all detection points, as sensors are scattered throughout the entire area.
Solution Approach 2:
The patent inverts the traditional approach by placing sensors throughout the entire security zone rather than at specific boundary locations. This inversion makes the detection system harder to predict and evade, as intruders cannot anticipate which specific sensor will detect them.
3Reliability
If distributed sensor networks with many sensors are deployed, then detection coverage is improved, but power requirements become prohibitive and network life is shortened
Solution Approach 1:
The sensor nodes operate in periodic cycles, alternating between low-power sleep mode and active detection/communication modes. Sensors only transmit when they detect intrusions or receive cue signals, rather than continuously transmitting, significantly reducing overall power consumption while maintaining detection coverage.
Solution Approach 2:
The system uses passive sensing and only transmits when necessary, allowing sensors to conserve power. The network automatically activates sensors based on detected intrusions without requiring continuous active monitoring, enabling the distributed network to maintain coverage while reducing total power requirements.
4Reliability
If complex sensing mechanisms and algorithms are used in sensor networks, then detection capability is improved, but system complexity increases and scalability is reduced
Solution Approach 1:
The patent segments the detection function into simple, identical sensor nodes without complex algorithms. Each node uses basic sensing and local decision-making, avoiding complex processing. The distributed network achieves high detection capability through the collective simplicity of many nodes rather than complex mechanisms in each node.
Solution Approach 2:
The system uses inexpensive, simple sensor nodes that can be easily deployed and replaced rather than investing in complex, expensive sensors with sophisticated algorithms. These simple nodes are sufficient when deployed in large numbers, providing scalability and economic feasibility.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides effective, scalable, and economically feasible security zone monitoring by utilizing a large number of inexpensive sensor nodes that are difficult to detect, minimizing power consumption, and automatically adapting to intrusions without requiring extensive infrastructure.
Implementation Method 1
each sensor node transmits a communication without protocols other than a rudimentary language or signal to alert its neighboring sensor nodes
Implementation Method 2
a transceiver located remotely from the security zone for detecting and localizing the increase in the total power density
Implementation Method 3
the intrusion will block the transmission of the second tone thereby causing a receiving neighboring sensor node to detect a resulting drop in the received second tone power
Data Source
AI summary
A security zone is monitored for intrusion detection by dispersing therein a plurality of sensor nodes that, when an intrusion is detected, communicate with their neighboring sensor nodes without protocols other than a first tone. As the intrusion is detected by more sensor nodes, there is an increase in sensor node transmissions and, hence, an increase in the total power density in the security zone which is detected by a remote monitor for detecting and localizing the intrusion and providing an alert. In addition, certain of the sensor nodes also transmit a continuous second tone received by other sensor nodes. When an intrusion occurs, the transmission is blocked causing the receiving nodes to transmit the first tone to alert neighboring nodes.