Wireless Sensor Field Enumeration via Hierarchical Authentication
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Solution Overview
Problem
The challenge lies in managing and securing the vast amount of data collected from wireless sensors, particularly in ensuring data integrity and traceability, while preventing unauthorized access, especially in low-power and low-range wireless sensor network systems like Zigbee, which can consume bandwidth and compromise data reliability.
Innovation Solution
A system is developed that authenticates sensors and users, maintains data traceability, and ensures only authorized data is stored and accessed, utilizing a network agent that interacts with sensors, service requesters, and intelligence agents through a presentation server and enumeration server, with optional gateways aggregating data and managing sensor registration, authentication, and data access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is collected from a large number of wireless sensors, then data availability and coverage are improved, but bandwidth consumption and system complexity increase
Solution Approach 1:
The patent segments the sensor network into hierarchical levels with cluster heads managing groups of sensor nodes. This segmentation reduces overall system complexity by distributing management responsibilities while maintaining comprehensive data collection capabilities across the network.
Solution Approach 2:
The patent introduces cluster heads as intermediary nodes between individual sensors and the central base station. These intermediaries aggregate data from multiple sensors, reducing the total communication overhead and bandwidth consumption while maintaining data availability from the entire sensor population.
2Reliability
If authentication and data validation are implemented for all sensors, then data integrity and security are improved, but processing time and energy consumption increase
Solution Approach 1:
The patent implements preliminary authentication during sensor registration and cluster formation, establishing trust relationships before data collection begins. This preliminary action ensures data integrity is verified upfront, allowing subsequent data transmissions to be processed more quickly without repeated authentication overhead.
Solution Approach 2:
The patent enables sensors to self-authenticate using pre-configured credentials and allows cluster heads to automatically validate data from their member sensors. This self-service authentication mechanism reduces the need for centralized verification of every data packet, thereby reducing processing time while maintaining data integrity.
3Loss of information
If centralized data management is used, then data traceability and control are improved, but network traffic and central node load increase
Solution Approach 1:
The patent segments centralized data management into distributed cluster-level management, where cluster heads maintain local data registries and traceability information. This segmentation reduces network traffic by keeping traceability data local to each cluster while still enabling centralized oversight when needed, thus reducing energy consumption from network communications.
Solution Approach 2:
The patent adds a hierarchical dimension to data management, operating simultaneously at cluster and network levels. This dimensional approach allows traceability to be maintained locally at the cluster level for routine operations, reducing network traffic, while preserving the ability to access centralized management for broader coordination and auditing.
4Use of energy by moving object
If low-power communication protocols are used, then energy consumption is reduced, but data transmission rate and range are limited
Solution Approach 1:
The patent merges data from multiple low-rate sensors at cluster heads, aggregating information before transmission to the base station. This combining approach maintains low energy consumption at the sensor level while achieving higher effective data transmission rates at the network level, as the cluster head transmits consolidated data rather than individual sensor readings.
Solution Approach 2:
The patent implements periodic data aggregation at cluster heads, where sensors transmit data at low power intervals and the cluster head accumulates and forwards aggregated data. This periodic action allows sensors to operate at low energy consumption levels while the network achieves higher overall productivity through efficient batch transmissions from intermediary nodes.
Data Source
AI summary
A system for authenticating data acquired by multiple sensors prior to storing the data in a database is described. The system also authenticates users requesting data access and intelligence agents that provide analyses of data stored in the database. As a result, any data or data analysis obtained from the system is traceable and reliable.