Mobile Framework for Remote Sensing and Reporting
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Solution Overview
Problem
Remote sensing using wireless sensor networks is limited by task-specificity and deployment difficulties, while personal mobile devices offer attractive yet underutilized potential for rapid sensing and reporting due to their widespread penetration and capabilities.
Innovation Solution
A framework that leverages existing mobile network infrastructure to enable mobile devices in remote sensing and reporting tasks, allowing for rapid generation, deployment, and data collection of reporting applications with minimal technical expertise, using a server, application provider, and mobile client to engage users in sensing and reporting tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless sensor networks are used for remote sensing, then sensing capabilities are provided, but deployment time and task-specificity increase
Solution Approach 1:
The patent applies universality by enabling mobile devices to perform multiple sensing functions across different tasks. Instead of deploying dedicated sensor networks for each specific sensing task, the system allows any mobile device to be dynamically assigned to various sensing roles (environmental monitoring, disaster relief, habitat tracking) based on availability and capability, thereby reducing deployment time while maintaining task-specific functionality.
Solution Approach 2:
The patent implements dynamics by creating a flexible framework where mobile devices can be dynamically allocated to different sensing tasks in real-time. The system dynamically assigns devices to sensing roles based on current needs, device availability, and task requirements, eliminating the static deployment requirements of traditional wireless sensor networks and enabling rapid adaptation to changing sensing needs.
2Adaptability or versatility
If wireless sensor networks are deployed for specific sensing tasks, then sensing functionality is achieved, but deployment complexity increases
Solution Approach 1:
The patent applies self-service by enabling mobile devices to autonomously participate in sensing tasks without requiring complex deployment configurations. Devices automatically register their availability and capabilities with the sensing framework, and the system dynamically assigns appropriate tasks based on device attributes and task requirements, eliminating the need for manual network deployment and configuration while maintaining full sensing functionality.
Solution Approach 2:
The patent introduces an intermediary sensing framework that mediates between task initiators and mobile devices. This framework handles the complexity of matching devices to tasks, managing device capabilities, and coordinating sensing operations, thereby simplifying deployment for users while maintaining sophisticated sensing task capabilities.
3Loss of time
If mobile devices are used for remote sensing, then rapid deployment is enabled, but framework complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the remote sensing framework into separate functional modules: device registration module, task publication module, device selection module, and data collection module. This modular architecture enables rapid deployment by allowing each component to be independently configured and activated, reducing the overall framework complexity while maintaining rapid device mobilization capability.
Data Source
AI summary
A framework for enabling the usage of mobile devices in a remote sensing and reporting role are provided herein. Embodiments of the present invention provide methods and systems for enabling the usage of mobile devices in a remote sensing and reporting role. Embodiments of the present invention use existing mobile network infrastructure to engage mobile users in remote sensing and reporting tasks. Further, embodiments of the present invention enable rapid set up of remote sensing and reporting applications with relatively little technical skills.