Wireless Sensor Network Path Configuration
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Solution Overview
Problem
Wireless sensor networks face challenges in efficiently configuring paths that meet heterogeneous nodes' quality of service requirements and battery constraints, leading to suboptimal data transmission routes and energy management.
Innovation Solution
A system that acts as a sink node, receiving reports on nodes' quality of service requirements and battery information, and uses this data to determine optimal paths for data transmission, either direct links or paths with cluster heads, by selecting cluster heads based on energy metrics and signal strength, and dynamically reassigning nodes to maintain latency and reliability requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional path configuration methods are used in wireless sensor networks, then network setup is simple, but paths cannot meet heterogeneous quality of service requirements and energy constraints
Solution Approach 1:
The patent implements dynamic path configuration by continuously monitoring node battery levels and QoS requirements, then dynamically adjusting routing paths. The sink node receives reports from sensor nodes about their battery status and QoS needs, uses this information to determine optimal paths, and can reassign nodes to different cluster heads based on changing conditions, making the network adaptable to heterogeneous requirements
Solution Approach 2:
The patent changes key parameters including battery energy levels and QoS requirements to determine optimal paths. The sink node uses battery information (energy parameter) and QoS reports (service parameter) as inputs for path determination algorithms, adjusting routing decisions based on these parameter changes to satisfy heterogeneous node requirements
2Productivity
If more cluster heads are selected to improve path options, then path optimization improves, but energy consumption increases
Solution Approach 1:
The patent uses battery energy levels as a critical parameter for cluster head selection. Nodes with higher remaining battery energy are preferred as cluster heads, and the sink node adjusts the number and selection of cluster heads based on overall network energy status, balancing path optimization opportunities with energy conservation
Solution Approach 2:
The patent implements a feedback mechanism where sensor nodes periodically report their battery information and QoS requirements to the sink node. The sink node uses this feedback to dynamically adjust path configurations and cluster head assignments, optimizing the balance between transmission efficiency and energy consumption based on real-time network conditions
3Reliability
If path determination considers both energy and QoS constraints, then network performance improves, but computation time increases
Solution Approach 1:
The patent performs preliminary actions by having sensor nodes pre-report their battery information and QoS requirements to the sink node before path determination is needed. This advance data collection allows the sink node to prepare routing information and cluster head assignments in advance, reducing real-time computation time while maintaining performance optimization
Solution Approach 2:
The patent segments the path determination process into distinct phases: receiving QoS and battery reports from nodes, determining optimal paths based on these reports, and assigning cluster heads. This segmentation allows each phase to be optimized independently, improving overall efficiency while maintaining comprehensive consideration of energy and QoS constraints
Data Source
AI summary
To configure a wireless sensor network, a sink node receives from nodes first reports, a first report from a node indicating quality of service requirement of the node and battery information of the node, and second reports, a second report from a node indicating at least a signal strength of one signal received from another node. The information in the first reports and in the second reports are used for determining paths from the nodes to the sink node, wherein a path of a node is either a direct link from the node to the sink node or the path comprises at least one node acting as a cluster head between the node and the sink node.