Sensor Network Self-Organization for Energy-Constrained Surveillance
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Solution Overview
Problem
Current surveillance systems face limitations such as limited energy supply, sensor deployment and placement issues, remote information storage and retrieval challenges, network bandwidth constraints, and information overload due to irrelevant data, which hinder efficient surveillance operations in various environments.
Innovation Solution
A reconfigurable surveillance network with autonomous nodes that can self-organize and manage resources, employing a combination of high and low data rate communication links to conserve energy and efficiently process and transmit relevant data, allowing nodes to operate intelligently and adapt to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all sensors are activated continuously to ensure complete surveillance coverage, then surveillance reliability is improved, but energy consumption increases significantly
Solution Approach 1:
The system dynamically adjusts sensor activation states based on detected events. When an event is detected by one sensor, neighboring sensors are activated to form a cooperative surveillance group. This dynamic reconfiguration ensures reliable surveillance coverage while minimizing energy consumption by keeping sensors inactive when not needed.
Solution Approach 2:
Sensors autonomously determine their own activation state based on local event detection and neighborhood conditions. Each sensor can independently decide whether to activate itself or neighboring sensors, eliminating the need for continuous centralized control and reducing overall system energy consumption while maintaining surveillance reliability.
2Reliability
If multiple sensors are deployed to improve surveillance coverage, then surveillance reliability is improved, but network complexity and coordination difficulty increase
Solution Approach 1:
The surveillance network is segmented into independent sensor nodes that each operate autonomously. Each sensor makes local decisions about activation and data sharing without requiring complex global coordination. This segmentation reduces network complexity while maintaining reliable surveillance coverage through distributed intelligence.
Solution Approach 2:
Multiple sensors are merged into cooperative surveillance groups that function as a unified surveillance unit. When sensors are activated, they combine their observations and share data to provide comprehensive coverage. This merging approach improves reliability while keeping coordination simple through local group formation rather than global management.
3Loss of information
If all collected data is transmitted to users, then information completeness is improved, but information overload and processing burden increase
Solution Approach 1:
The system extracts only the most relevant information from sensor data for transmission to users. When sensors detect events, they identify and transmit only the critical aspects of the event rather than all raw data. This extraction approach maintains information completeness for important events while reducing overall data transmission and processing burden.
Solution Approach 2:
Different levels of information processing are applied to different data based on their importance. Critical event data receives full processing and transmission, while routine or less important data is processed minimally or not transmitted at all. This local quality approach ensures information completeness for important matters while reducing processing burden overall.
Data Source
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AI summary
Embodiments of a sensor network system provide surveillance capabilities in multiple contexts/environments (e.g., military, commercial, scientific, civic, urban, wilderness, etc.). Network nodes may include devices such as sensors, network routers, network controllers, etc. Network sensors may be configured so that power management objectives are maximized. Network sensors (both individually and as a group) may be capable of intelligent and cooperative information gathering, so that the output of the sensor network does not contain high levels of irrelevant information. The network nodes may communicate among one another via one or more communication links, and in some cases, multiple routes between any two network nodes may be available. The sensor network may include aspects of both high data rate and low data rate network features. One or more network controllers may provide various network management capabilities, including management of network routing, information collection, information exportation, network configuration, etc.