Hierarchical Resource Allocation in Ad-Hoc Sensor Networks
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Solution Overview
Problem
Wireless sensor networks face scalability issues due to severe resource constraints, leading to exponential growth in processing, maintenance, and communication bandwidth overhead as the network size increases, necessitating a flexible and dynamic resource allocation system for performance optimization.
Innovation Solution
A method and apparatus for allocating resources in an ad-hoc communication system where nodes receive resource allocations from their parent nodes, determine resource needs for their children, and dynamically assign resources based on requests and availability, with resource requests aggregated and transmitted recursively to reduce bandwidth overhead, managing resources in a distributed manner within each sub-tree.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If straightforward approaches with globally shared information are used for resource allocation, then resource allocation simplicity is improved, but processing overhead and communication bandwidth requirements grow exponentially with network scale
Solution Approach 1:
The patent segments the network into hierarchical clusters with cluster heads that manage local resources independently. Each cluster head receives resource allocations from parent nodes and distributes them to child nodes within its cluster, breaking the monolithic global resource management into manageable local segments. This reduces processing overhead from exponential to linear scaling with network size.
Solution Approach 2:
The patent introduces a hierarchical dimension to resource allocation, organizing nodes in a tree-like structure with multiple levels of parent-child relationships. Resources are allocated along this hierarchical dimension rather than through flat global coordination, enabling scalable management where each node only needs to communicate with its immediate parent and children.
2Ease of operation
If straightforward approaches with globally shared information are used for resource allocation, then resource allocation simplicity is improved, but communication bandwidth overhead grows exponentially with network scale
Solution Approach 1:
The patent segments communication traffic into local cluster-level exchanges rather than global broadcasts. Child nodes communicate resource requests only with their parent cluster head, and cluster heads communicate with their parents, creating a hierarchical communication pattern that reduces bandwidth overhead from O(n²) to O(n) where n is the number of nodes.
Solution Approach 2:
The patent extracts global resource coordination functions and delegates them to local cluster heads. Each cluster head manages resource allocation within its own cluster independently, extracting the need for continuous global information sharing and reducing communication bandwidth requirements significantly.
3Device complexity
If straightforward approaches are used for resource management, then system simplicity is improved, but network lifetime is reduced due to frequent battery replacement
Solution Approach 1:
The patent implements dynamic resource allocation where cluster heads continuously monitor resource usage patterns and adjust allocations in real-time based on current network conditions and node energy levels. This dynamic adaptation extends network lifetime by optimizing resource distribution to prevent premature node failures, while maintaining relatively simple local decision-making logic.
Solution Approach 2:
The patent incorporates feedback mechanisms where child nodes report resource usage and status to parent cluster heads, which then adjust future allocations accordingly. This feedback loop enables the system to adapt to changing conditions and extend network lifetime without requiring complex centralized control, as each cluster head autonomously responds to local feedback.
Data Source
AI summary
A method and apparatus for allocating resources to a node in an ad-hoc communication system is provided herein. During operation, nodes of the system will receive resource allocations from their parent node. The resource allocation comprises a portion of available resources that may vary in size. Each node will determine the resource needs for its children nodes only and then dynamically assign resources to them. The resources assigned to the children nodes comprise a portion of the resources assigned to the node by its parent node. Additionally, knowledge as to how the children further allocate resources to their own children is not known by the parent, however, the children nodes must allocate a portion of their resource to their children nodes.