LTE Sensor Data Optimization via Distributed Servers
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Solution Overview
Problem
Current broadband wireless networks face challenges in meeting bandwidth demands due to limitations in air interface utilization, inter-cell interference, backhaul facility over-utilization, and latency issues, particularly in providing video services and efficient data processing for sensor applications, especially in emergency scenarios.
Innovation Solution
The system employs LTE wireless network enhancements, including network beam forming, co-location of optimization servers with base stations, and publish/subscribe communications to reduce latency and conserve backhaul resources, enabling efficient data collection, processing, and distribution from a large number of sensors to various end points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If sensors and users connect directly to optimization servers via LTE bearers, then latency is reduced and data capacity is increased, but network complexity and device complexity increase
Solution Approach 1:
The network is segmented into multiple optimization servers distributed across different locations, each handling specific sensor data processing tasks. This segmentation allows direct local connections reducing latency while distributing network complexity across multiple manageable nodes rather than requiring a single complex centralized system.
Solution Approach 2:
Optimization servers act as intermediary components between sensors/users and the core network. These intermediaries handle data processing locally, reducing the need for sensors to communicate directly with distant core network elements, thereby reducing latency while managing complexity through standardized intermediary interfaces.
2Loss of energy
If LTE bearers are redirected to connect sensors directly to optimization servers, then backhaul resources are conserved, but network control complexity increases
Solution Approach 1:
Bearer redirection is performed in advance during network setup and configuration phases. Optimization servers are pre-configured with bearer routing information, and network elements are pre-programmed with redirection rules. This preliminary configuration reduces real-time control complexity while enabling efficient backhaul resource utilization during actual sensor data transmission.
Solution Approach 2:
The system implements feedback mechanisms where optimization servers monitor backhaul resource usage and dynamically adjust bearer redirection decisions. This feedback loop allows the network to automatically optimize resource allocation without requiring complex manual control, reducing backhaul consumption while managing control complexity through automated decision-making.
Data Source
AI summary
In embodiments of the present disclosure, improved capabilities are described for a sensor platform in a wireless network, where optimization servers utilizing publish-subscribe broker services are provided within the wireless network to provide conferenced connectivity between sensor devices and communicating entities.