Wireless Sensor Network Node Data Replication
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Solution Overview
Problem
Existing systems fail to effectively replicate data components from a potentially failing node to another node in a wireless sensor network, especially in globally distributed environments and under external attacks or natural disasters, leading to data loss.
Innovation Solution
A method and system where each node in a wireless sensor network includes sensors to detect failures, query neighboring nodes for capability, copy data components to capable nodes, and update routing tables to ensure data redundancy and integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data components are stored in a static structure with backup systems, then data protection against technical failures is improved, but the system cannot effectively handle node failures in a globally distributed wireless sensor network environment
Solution Approach 1:
The patent transforms the static backup structure into a dynamic system where data components can be actively copied and moved between nodes based on real-time failure detection. The system continuously monitors node status and dynamically replicates data to alternative nodes, enabling adaptation to the distributed wireless sensor network environment while maintaining data protection.
Solution Approach 2:
The system performs preliminary actions by proactively copying data components from potentially failing nodes to neighboring nodes before actual failure occurs. This preventive replication ensures data availability is maintained even in the distributed network environment, resolving the contradiction between reliability and adaptability.
2Reliability
If conventional disaster recovery systems are used, then data protection against outside attacks and natural disasters is improved, but the systems fail to protect data in wireless sensor network environments
Solution Approach 1:
The patent changes the operational parameters of disaster recovery by implementing a distributed copying mechanism specific to wireless sensor networks. Instead of centralized backup systems, the patent uses local node copying with failure detection sensors, adapting the disaster recovery approach to the constrained and distributed nature of wireless sensor network environments while maintaining data protection.
Solution Approach 2:
The system enables self-service by allowing nodes to autonomously detect their own failure conditions and trigger data copying to neighboring nodes without external intervention. This self-managed approach makes the disaster recovery system suitable for wireless sensor networks where centralized control may be unavailable, resolving the adaptability issue.
3Reliability
If data components are stored in neighboring nodes for redundancy, then data availability during node failure is improved, but the complexity of managing data locations and routing tables increases
Solution Approach 1:
The patent implements feedback mechanisms where nodes continuously monitor the status of neighboring nodes and automatically update routing tables based on this feedback. When a node detects failure or data copying occurs, the routing information is propagated back through the network, allowing automatic adaptation without manual intervention. This feedback loop manages the complexity of distributed data location tracking while ensuring data availability.
Data Source
AI summary
Under the present invention, a wireless sensor network comprising a plurality of peer to peer nodes is provided. Each node in the network includes, among other things, a sensor for detecting environmental factors. When a potential failure is detected within a node, the node will query its neighboring nodes to determine whether they have the capability to store any data component(s) currently stored within the potentially failing node. Based on the querying, the data component(s) in the potentially failing node are copied to one or more of the neighboring nodes. Thereafter, details of the copying can be broadcast to other nodes in the network, and any routing tables that identify the locations of data components stored throughout the wireless sensor network can be updated.


