Publish-Subscribe Broker Network for IoT Data Routing
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Solution Overview
Problem
Current IoT systems face inefficiencies and security challenges due to high network traffic and latency in traditional IP networking, especially with large numbers of sensors, and existing wireless networks struggle to meet bandwidth demands and provide prioritized access during emergencies.
Innovation Solution
Implementing a publish-subscribe broker network with local optimization servers and centralized optimization servers to reduce latency, manage network traffic, and enhance security, while also using Agile Beam Forming to minimize inter-cell interference and improve spectrum efficiency in LTE wireless networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional socket connections are used between each sensor and sensor processing applications, then security can be provided for data transmissions, but the number of connections required becomes very large, increasing system complexity and cost
Solution Approach 1:
The patent introduces a publish-subscribe broker as an intermediary component that sits between sensors and sensor processing applications. The broker receives published sensor data and distributes it to subscribed applications, eliminating the need for direct point-to-point connections. This intermediary mechanism maintains security through authenticated publishing and subscription while reducing connection complexity from O(N*M) to O(N+M) where N is sensors and M is applications.
2Device complexity
If multicast IP networking is used to reduce the number of socket connections, then the number of connections is reduced to one, but security on data transmissions becomes difficult to provide and network traffic becomes excessive
Solution Approach 1:
The publish-subscribe broker acts as a secure intermediary that replaces multicast IP networking. Instead of using insecure multicast groups, the broker establishes authenticated publishing channels from sensors and authenticated subscription channels to applications. The broker validates publishers and subscribers, providing security that multicast IP cannot offer, while still maintaining the efficiency of single connection per sensor and per application.
3Device complexity
If multicast IP networking is used for sensor data transmission, then the number of connections is reduced, but network traffic becomes excessive as each packet is carried to all sensors and applications, causing network overload
Solution Approach 1:
The broker serves as an intelligent intermediary that receives sensor data on a single connection and distributes it selectively to subscribed applications. This eliminates the exponential network traffic problem of multicast where one sensor's data is sent to all sensors and applications. The broker implements efficient routing, sending each data packet only to applications that have subscribed to relevant sensor types, reducing network traffic from O(N*M) to O(K) where K is the actual number of relevant subscriptions.
4Speed
If LTE wireless networks are used to provide high data rates, then user data rates can reach 10 Mbps or higher, but inter-cell interference reduces data rates for users located at cell boundaries
Solution Approach 1:
The patent applies local quality by implementing cell-specific reference signals and beamforming techniques that adapt transmission characteristics to local conditions. Users at cell boundaries receive enhanced signal quality through directed beams from their serving cell, while users in other locations receive standard coverage. This localized optimization ensures high data rates for all users regardless of position, mitigating inter-cell interference effects at boundaries through spatially-adaptive transmission.
5Ease of manufacture
If servers are deployed externally to the wireless network, then service provisioning is simplified, but long packet transit delays occur between the server and user access point
Solution Approach 1:
The patent segments the service delivery function into multiple distributed components: edge servers deployed at or near base stations, core network functions, and user equipment. This segmentation allows services to be delivered from locations close to users (edge servers) for time-sensitive applications, while less time-critical services can use centralized servers. The segmented architecture provides both low-latency paths for urgent data and simplified centralized management for non-urgent services.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces network latency, conserves bandwidth, enhances security, and ensures efficient data processing and distribution for IoT systems, while providing prioritized access and improved service quality, especially during emergencies.
Implementation Method 1
use Agile Beam Forming to minimize inter-cell interference and improve spectrum efficiency in LTE wireless networks
Data Source
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AI summary
Systems and methods are described wherein sensor devices for gathering sensor data are in communication with a sensor processing application enabled to receive sensor data and to perform a function such as storing, processing, and redistributing the sensor data or processed sensor data. A communication network to which the sensor devices are connected comprises a publish-subscribe broker network including a broker adapted to provide publish-subscribe broker services for entities including the sensor devices and the sensor processing application. An authorized subscriber entity connected to the broker network via a broker is enabled to receive data on a specific identified channel by subscribing to the channel and receive published data on the channel published by an authorized publisher entity. The broker network routes packets of sensor data, on behalf of an authorized publisher, to any sensor processing application which is an authorized subscriber to the sensor data.