Autonomic Sensor Network Ecosystem Resource Allocation
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Solution Overview
Problem
Current autonomic sensor network ecosystems lack effective methods for deploying and allocating resources, as well as addressing threats in a scalable and secure manner, particularly in decentralized virtual environments that require adaptable and resilient infrastructure.
Innovation Solution
The system comprises a network of sensor peers and super peers, micro grid gateways, and enterprise gateways, with each micro grid gateway equipped with a request broker, queue manager, scheduler, and resource manager to receive, route, and allocate resources across the network, and address threats by detecting and responding to potential failures and security incidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a decentralized virtual infrastructure is implemented to replace traditional physical infrastructure, then scalability and adaptability are improved, but system complexity and difficulty of management increase
Solution Approach 1:
The patent introduces micro-grid gateways as intermediary components that manage resource allocation and coordination in the decentralized sensor network. These gateways act as mediators between individual sensor nodes and the overall network, simplifying management while maintaining decentralization and scalability benefits.
Solution Approach 2:
The system is segmented into multiple independent layers including sensor networks, micro-grids, and enterprise gateways. This segmentation allows each layer to operate autonomously while contributing to the overall scalable and adaptable infrastructure, reducing system complexity through modular design.
2Productivity
If resource allocation is automated in the sensor network, then productivity and efficiency are improved, but the extent of automation increases system complexity
Solution Approach 1:
The patent implements self-service mechanisms where sensor nodes and micro-grids automatically discover available resources and allocate them without centralized control. The system autonomously manages resource distribution, improving productivity while the automation is contained within standardized protocols rather than requiring complex centralized management.
3Reliability
If data is distributed across multiple peer nodes for redundancy, then reliability is improved, but device complexity and difficulty of tracking data locations increase
Solution Approach 1:
The patent implements feedback mechanisms where nodes continuously report their data storage status and resource availability to the network. This feedback enables automatic tracking of data locations across distributed nodes, maintaining reliability through redundancy while simplifying data tracking through automated information flow rather than complex manual management.
Data Source
AI summary
The present invention provides a method, system and program product for deploying and allocating resources, and addressing threats in an autonomic sensor network ecosystem. Specifically, under the present invention, the autonomic sensor network ecosystem includes a set (e.g., one or more) of sensor networks each having a set of sensor peers and at least one super peer; a set of micro grid gateways; and a set of enterprise gateways. Each micro grid gateway is typically adapted to receive requests from a sensor network, an enterprise gateway, and/or another micro grid gateway. Moreover, each micro grid gateway includes a request broker for receiving the requests; a request queue manager for queuing the requests; a scheduler for scheduling the requests; and a resource manager for monitoring the set of sensor networks.