Network Node Deployment Using Proxy Locations
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Solution Overview
Problem
Conventional methods for deploying surveillance nodes in three-dimensional outdoor environments are computationally inefficient, as they evaluate network fitness at each candidate location and factor in all network nodes, leading to suboptimal deployment strategies.
Innovation Solution
The method involves determining a proxy location for each subregion of the terrain, computing network fitness based only on nearby nodes, and relocating nodes to optimize coverage, reducing computational complexity and improving deployment efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network fitness is computed at each candidate location considering all network nodes, then deployment accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent divides the network into multiple regions and selects representative proxy locations within each region. Instead of computing fitness at all candidate locations with all nodes, the system computes fitness only at proxy locations considering only nearby nodes, then assigns candidate locations to the best proxy location. This segmentation reduces computational complexity while maintaining deployment accuracy.
Solution Approach 2:
The patent extracts and considers only the nearby nodes relevant to each candidate location rather than factoring in every network node. By identifying and isolating the subset of nodes that actually impact the fitness computation for a given location, the system reduces computational overhead while preserving the accuracy of deployment decisions.
2Reliability
If all network nodes are factored into fitness computations, then network coverage optimization is improved, but computational overhead increases
Solution Approach 1:
The patent applies local quality by considering only the nearby nodes that are relevant to each candidate location's fitness computation. Different regions of the network are evaluated with their locally relevant nodes rather than using a uniform global computation approach. This reduces computational overhead while maintaining network coverage optimization.
Solution Approach 2:
The network is segmented into multiple regions with proxy locations, and fitness computations are performed locally for each region rather than globally for the entire network. This segmentation allows the system to optimize network coverage while reducing the computational overhead associated with evaluating all nodes across the entire network.
3Measurement precision
If conventional deployment methods are used, then comprehensive evaluation is achieved, but deployment efficiency decreases
Solution Approach 1:
The patent performs preliminary actions by pre-dividing the network into regions and identifying proxy locations before the actual fitness computation. By preparing the spatial structure in advance and selecting representative locations, the system achieves comprehensive evaluation more efficiently, improving deployment efficiency without sacrificing evaluation thoroughness.
Solution Approach 2:
The patent uses proxy locations as simplified representations or copies of the actual candidate locations. Instead of performing comprehensive evaluations at every candidate location, the system evaluates at proxy locations and assigns candidates to their best-matching proxy, achieving comprehensive evaluation results with reduced computational effort and improved deployment efficiency.
Data Source
AI summary
A method and apparatus for efficient deployment of nodes in a network includes obtaining first data that indicates first locations of nodes in a network and terrain data that indicates height of terrain at terrain locations. The method further includes determining an exploration region for a first node and dividing the exploration region into subregions. The method further includes determining a proxy location for each subregion that is a location corresponding to a characteristic of the terrain data in the subregion. The method further includes determining a value of a parameter that indicates a contribution of the first node at each proxy location to network fitness. The method further includes assigning a second location to the first node based on the determined parameter value at each proxy location. The method further includes relocating the first node from the first location to the second location.