Secure Tactical Network Call Admission Control via Destination Feedback
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Solution Overview
Problem
Managing quality-of-service and access control in secure tactical wireless networks is challenging due to encryption boundaries and fluctuating bandwidth, leading to inefficient call admission and preemption control, particularly in military networks where precise information about available bandwidth is lacking.
Innovation Solution
Implementing a call admission and preemption algorithm that uses destination node measurements to inform the source node about carried traffic, allowing for precise regulation of network traffic and preempting lower priority calls to ensure higher priority traffic is protected, thereby improving network throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If encryption boundaries are implemented to secure the network, then security is improved, but information exchange between access and backbone networks is prevented, making quality-of-service management difficult
Solution Approach 1:
The patent introduces an intermediary mechanism where the destination node measures carried traffic and sends feedback to the source node. This feedback acts as a mediator that conveys network state information across the encryption boundary without breaking security, enabling the source node to make informed admission control decisions.
Solution Approach 2:
The patent implements a feedback loop where the destination node continuously monitors carried traffic and provides updates to the source node. This feedback mechanism allows the source node to adjust traffic regulation dynamically based on actual network conditions, resolving the information asymmetry caused by encryption boundaries.
2Ease of operation
If trial-and-error techniques are used for traffic regulation, then implementation simplicity is maintained, but reaction speed to congestion is very slow
Solution Approach 1:
The patent replaces trial-and-error techniques with a feedback-driven approach. The destination node provides real-time carried traffic information to the source node, enabling rapid detection of congestion conditions and immediate adjustment of traffic regulation, thus dramatically improving reaction speed while maintaining implementation simplicity.
Solution Approach 2:
The patent enables preliminary action by providing the source node with carried traffic information before congestion fully develops. This allows the source node to proactively regulate traffic to prevent overload, rather than reacting after congestion occurs, thereby improving both speed and effectiveness of traffic management.
3Reliability
If available bandwidth information is not provided to the source node, then security is maintained, but precise traffic regulation and preemption control cannot be achieved
Solution Approach 1:
The patent uses carried traffic information as an intermediary metric that indirectly reveals available bandwidth without exposing sensitive network state. The source node can infer bandwidth availability from carried traffic measurements while the backbone network remains secure, achieving both security and measurement precision.
Solution Approach 2:
The patent inverts the traditional approach by having the destination node measure and report carried traffic instead of having the source node estimate available bandwidth. This inversion allows precise traffic regulation while maintaining security, as the source node receives actionable information without accessing sensitive network state.
4Productivity
If headroom bandwidth is available through estimation, then new traffic can be selectively admitted without overloading the network, but the estimation mechanism adds system complexity
Solution Approach 1:
The patent implements self-service by having the destination node automatically measure and report carried traffic to the source node. This eliminates the need for complex estimation mechanisms at the source node, as the destination node performs the measurement and provides the necessary information, reducing overall system complexity while improving traffic admission efficiency.
Data Source
AI summary
In a secure network where the network characteristics are not known, a call admission control algorithm and a preemption control algorithm based on a destination node informing the source node of the observed carried traffic are used to regulate the amount of traffic that needs to be preempted by the source. The amount of traffic that needs to be preempted is based on the carried traffic measured at the destination node. The traffic to be preempted is based on the priority of the traffic, where the lowest priority traffic is the first to be preempted until the amount of traffic preempted is sufficient to allow the remaining traffic to pass through the network without congestion.