Policy Effectiveness Monitoring in Distributed Sensor Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In smart city environments, policy-based management systems face challenges in managing sensors and actuators installed by different organizations with varying goals and unknown operating characteristics, leading to issues with data reliability and trust, as well as the lack of explicit feedback mechanisms to identify errors or successful policy solutions.
Innovation Solution
A network of sensors and actuators with a policy decision point, data store, and policy execution point, incorporating a reliability monitoring element that compares intended policy outcomes with actual sensor inputs to assess policy effectiveness, using check functions to verify if actions move the system towards specified states and initiating actions based on inputs from independent sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensors and actuators are installed by different organizations with varying goals in smart city environments, then the system's adaptability and versatility improve, but data reliability and trust deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where policy outcomes are monitored and compared against actual sensor inputs. This feedback loop enables the system to assess whether policies are achieving their intended effects, thereby maintaining reliability in multi-organization environments through objective verification rather than trust-based assumptions.
Solution Approach 2:
The patent introduces an intermediary evaluation layer that acts as a mediator between diverse sensor inputs from different organizations and the policy decision-making process. This intermediary assesses policy effectiveness objectively, preventing any single organization's data quality issues from compromising overall system reliability while preserving the adaptability to incorporate multiple sources.
2Ease of operation
If policy-based management systems assume reliable sensor data from single management domain, then the ease of operation improves, but the adaptability to multi-organization environments deteriorates
Solution Approach 1:
The patent enables the system to self-assess policy effectiveness through automated monitoring and evaluation mechanisms. Rather than requiring manual verification of data reliability from each organization, the system automatically compares policy outcomes with sensor inputs, maintaining ease of operation while adapting to multi-organization environments through self-verification.
3Measurement precision
If explicit feedback mechanisms are added to identify policy errors and successes, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent implements a targeted feedback mechanism that specifically monitors policy outcomes against sensor inputs without requiring comprehensive system redesign. This focused approach achieves precise measurement of policy effectiveness while minimizing added complexity by concentrating monitoring efforts on critical policy-sensor relationships rather than attempting to verify all system parameters.
Data Source
AI summary
An environment of sensors and actuators is operated in accordance with predetermined policies, and the effectiveness of individual policies is monitored by comparing inputs from the sensors (550) with intended outcomes from policies controlled by previous inputs from one or more of the same sensors. Each policy includes a check function (554), wherein a sensor, other than the one that triggers the actions, monitors the actions generated by the policy and generates an output (556) indicative of whether a system state is approaching a condition specified by the policy.