Wireless Surveillance Network Adaptive Reconfiguration
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Solution Overview
Problem
Traditional surveillance systems are expensive, labor-intensive, and vulnerable to breakdowns due to reliance on permanent installations of sensors, lighting, and cabling, which inhibit rapid reconfiguration and are susceptible to weather conditions and false intrusion detection.
Innovation Solution
A self-adaptive wireless network of mobile transceiver modules that communicate sensory data and identity information, forming a distributed network to detect and verify intrusion events without the need for power wiring or signal cabling, allowing for easy reconfiguration and expansion, with frequency-shifting schemes to prevent jamming and unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If permanent installations of sensors, lighting, and cabling are used, then surveillance coverage is established, but reconfiguration capability is inhibited and vulnerability to breakdown increases
Solution Approach 1:
The surveillance system is divided into modular wireless sensor nodes that can be independently deployed and reconfigured. Each node contains integrated sensing, processing, and communication capabilities, eliminating the need for permanent cabling while maintaining system functionality. This segmentation enables flexible reconfiguration by simply adding or removing individual nodes.
Solution Approach 2:
The patent replaces the mechanical cabling system with wireless communication infrastructure. Instead of physically connecting sensors to central processing units through cables, the system uses wireless message passing between nodes, eliminating the mechanical constraints that prevent rapid reconfiguration while maintaining reliable data transmission.
2Reliability
If manual code loading to each unit is performed, then software updates are achieved, but time and labor consumption increases significantly
Solution Approach 1:
The patent merges the software update function into the existing wireless communication infrastructure. The same message passing channels used for sensor data transmission are also used for code distribution, eliminating the need for separate update mechanisms and enabling simultaneous updating of all nodes through broadcast communication.
Solution Approach 2:
Each sensor node is designed to autonomously receive and install software updates through wireless communication without requiring manual intervention. The nodes self-configure and self-update by processing received code packets and integrating them into their local memory, dramatically reducing the time and labor required for system-wide software updates.
3Adaptability or versatility
If wireless message passing among nodes is implemented, then reconfiguration ease is improved, but network security vulnerability to jamming increases
Solution Approach 1:
The patent implements frequency-hopping spread spectrum communication where the wireless message passing occurs on dynamically changing frequency channels. This parameter change in the communication medium makes it difficult for jamming signals to consistently disrupt all nodes, as the frequencies are continuously varied according to a predetermined sequence known to all legitimate nodes.
Solution Approach 2:
The system pre-establishes synchronized frequency hopping sequences and timing protocols before deployment. This preliminary configuration enables all nodes to automatically coordinate their communication frequencies without real-time negotiation, providing inherent resistance to jamming while maintaining the flexibility of wireless reconfiguration.
Data Source
AI summary
A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of proximity of objects. A central computer accumulates the data produced or received and relayed by each module for analyzing proximity responses to transmit through the adaptive network control signals to a selectively-addressed module to respond to computer analyzes of the data accumulated from modules forming the adaptive network. Interactions of local processors in modules that sense an intrusion determine the location and path of movements of the intruding object and control cameras in the modules to retrieve video images of the intruding object. Multiple operational frequencies in adaptive networks permit expansions by additional networks that each operate at separate radio frequencies to avoid overlapping interaction. Additional modules may be introduced into operating networks without knowing the operating frequency at the time of introduction. New programs are distributed to all or selected modules under control of the base station.