Sensor Network Autonomous Coordination via Neighbor Lists
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Solution Overview
Problem
Existing sensor networks face challenges in efficiently managing spatial understanding and coordination among sensors without central control, leading to bandwidth and processor inefficiencies, as well as errors due to manual configuration and stale data.
Innovation Solution
Each sensor periodically broadcasts its geographical location, allowing other sensors to compute a neighbor list and make independent decisions based on distance and decision algorithms, eliminating the need for manual configuration and reducing maintenance and error potential.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a central controller keeps track of all sensor geographical locations and instructs sensors to make measurements, then spatial coordination is achieved, but transmission bandwidth and processor time are consumed and the system becomes complex
Solution Approach 1:
The patent divides the central control function into distributed autonomous decision-making at each sensor node. Each sensor independently determines its own measurements and communications based on locally stored geographical data and neighbor lists, eliminating the need for a centralized controller to manage spatial coordination.
Solution Approach 2:
Each sensor autonomously determines whether to make measurements, send commands, or respond to commands based on its own geographical location and neighbor relationships. The sensors self-manage their participation in observations without external control, reducing system complexity while maintaining coordination accuracy.
2Ease of manufacture
If manual determination of sensor locations and construction of neighbor lists is performed, then initial network configuration is achieved, but the process is cumbersome and prone to errors from transmission difficulties and stale data
Solution Approach 1:
The patent implements dynamic updates of geographical locations and neighbor lists through periodic broadcasts from each sensor. Instead of static manual configuration, the neighbor lists are continuously refreshed as sensors move or are added to the network, ensuring data remains current and accurate without manual intervention.
Solution Approach 2:
Each sensor pre-calculates and stores its neighbor list based on geographical proximity before actual measurements begin. This preliminary computation of spatial relationships allows sensors to quickly determine their own participation in observations without real-time central coordination, improving both ease of deployment and data accuracy.
3Reliability
If all sensors in the network observe a phenomenon, then complete coverage is achieved, but transmission bandwidth and processor usage increase unnecessarily
Solution Approach 1:
The patent applies different roles to different sensors based on their local geographical characteristics. Sensors that are spatially close to a phenomenon and have favorable measurement qualities are selected to observe, while distant sensors remain inactive. This local differentiation optimizes energy usage while maintaining complete coverage through coordinated neighboring sensors.
Solution Approach 2:
Instead of all sensors observing every phenomenon (excessive action), the system uses partial action where only the necessary subset of neighboring sensors observes each phenomenon. This reduces bandwidth and processor usage while maintaining sufficient observation coverage through the coordinated actions of selected sensors.
Data Source
AI summary
Sensors in a network each have a geographical location and they each periodically broadcast this information to all the sensors in the network. Each receiving sensors then builds a list of sensors (neighbor list) that are closest to that sensor by computing the distance between itself and the other sensors. This list can then be used along with a decision algorithm to decide whether that sensor should act or perform a command when it receives a message from other sensors. In one embodiment, a sensor can use the neighbor list to command a specific other sensor(s) to perform a specific function.