Wireless Sensor Node Placement for Energy Consumption
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Solution Overview
Problem
Conventional wireless sensor network systems face challenges in optimizing energy consumption due to inefficient placement and sensing area settings, particularly because existing methods do not accurately account for overlap areas when computing sensing energy consumption per area (SECPA), leading to suboptimal deployment and energy usage.
Innovation Solution
Deploying sensor nodes in a two-dimensional plane with an extra node to cover gap areas, using specific geometric configurations such as equilateral triangles and squares to minimize overlap and compute SECPA with an efficiency factor that considers overlap areas, thereby optimizing sensing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor nodes are deployed with uniform sensing areas to cover the monitoring region, then gap areas are reduced, but overlap areas increase leading to higher energy consumption
Solution Approach 1:
The patent applies local quality by differentiating sensor node types into first sensor nodes with larger sensing areas and second sensor nodes with smaller sensing areas. This allows different regions of the monitoring area to have different coverage characteristics - areas requiring comprehensive coverage use first sensor nodes, while areas prone to overlap use second sensor nodes, thereby reducing overall energy consumption while maintaining complete coverage.
Solution Approach 2:
The patent introduces asymmetry by deploying sensor nodes with different sensing area sizes rather than uniform sensing areas. The first sensor nodes have sensing areas larger than the second sensor nodes, creating an asymmetric configuration that optimizes the balance between coverage completeness and energy consumption by strategically placing different node types in different regions.
2Ease of manufacture
If conventional SECPA computation method is used that considers only whole sensing area, then computation is simplified, but accuracy is reduced due to ignoring overlap areas
Solution Approach 1:
The patent segments the sensing area into two distinct components: the whole sensing area and the overlap area. By separating these components, the system can accurately compute SECPA by subtracting the overlap area from the whole sensing area, thereby eliminating the error factor present in conventional methods while maintaining computational feasibility through geometric formulas.
Solution Approach 2:
The patent changes the parameter used in SECPA computation from simply the whole sensing area to the effective sensing area (whole sensing area minus overlap area). This parameter change allows accurate energy consumption calculation by accounting for the fact that sensor nodes do not independently contribute energy in overlapping regions, thereby improving measurement precision without excessive computational complexity.
3Device complexity
If all sensor nodes are assumed to have the same sensing area, then system configuration is simplified, but gap areas cannot be effectively prevented
Solution Approach 1:
The patent applies local quality by differentiating sensor node types into first sensor nodes with larger sensing areas and second sensor nodes with smaller sensing areas. This allows different regions of the monitoring area to have different coverage characteristics - areas requiring comprehensive coverage use first sensor nodes, while areas prone to overlap use second sensor nodes, thereby reducing overall energy consumption while maintaining complete coverage.
Solution Approach 2:
The patent introduces dynamics by making the sensing area configuration adaptable rather than fixed. The system can dynamically select between first sensor nodes with larger sensing areas and second sensor nodes with smaller sensing areas based on the specific deployment requirements and detected gap areas, allowing flexible optimization of coverage without predetermined uniform constraints.
Data Source
AI summary
A wireless sensor network system, a method for placing a plurality of sensor nodes in a wireless sensor network, and a method for computing sensing energy consumption per area of a plurality of sensor node are disclosed. The wireless sensor network system includes a plurality of sensor nodes which are deployed at the same distance in a two-dimensional plane and have sensing areas of the same size, and an extra sensor node which has a sensing area of a smaller size than the size of the sensor nodes to sense a gap area which is not covered by the sensing areas of the sensor nodes.