Connectivity Management Entity for Wireless Resource Optimization
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Solution Overview
Problem
Communication devices within groups face inefficiencies in resource consumption, particularly in power and data communication costs, due to the lack of effective management of wireless connections across devices.
Innovation Solution
A connectivity management entity (CME) is introduced to optimize resource consumption by controlling and managing wireless connections among devices, utilizing metrics such as data rate, quality of service, and bandwidth to allocate resources efficiently, leveraging Wi-Fi and Bluetooth connections for cost, power, and performance optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If each communication device in a group independently manages its own wireless connections, then each device maintains full control over its communication choices, but resource consumption (power and data costs) increases due to lack of coordination
Solution Approach 1:
The patent introduces a group manager device as an intermediary that coordinates wireless connections among multiple communication devices. The group manager receives connection requests from group members, selects appropriate communication manners (Wi-Fi, Bluetooth, cellular) based on availability and resource optimization, and manages the connections centrally. This mediator approach reduces individual device power consumption by making centralized decisions while maintaining coordination across the group.
2Adaptability or versatility
If communication devices use multiple communication networks simultaneously, then communication flexibility and coverage are improved, but resource consumption and costs increase
Solution Approach 1:
The patent implements dynamic selection of communication manners based on real-time conditions. The group manager and devices continuously assess the availability of different communication networks (Wi-Fi, Bluetooth, cellular) and dynamically switch between them. This dynamic approach maintains communication flexibility by adapting to available networks while optimizing power consumption by selecting the most efficient communication method for each situation.
Solution Approach 2:
The system changes operational parameters by selecting different communication protocols and modes based on current conditions. The group manager evaluates parameters such as network availability, power consumption characteristics, and data transfer requirements to determine the optimal communication manner. This parameter-based selection enables flexible communication while controlling resource usage by adjusting which communication network is active at any given time.
3Productivity
If devices in a group share resources and connections, then overall resource efficiency improves, but coordination overhead and management complexity increase
Solution Approach 1:
The group manager serves as a centralized intermediary that handles all coordination tasks for resource sharing. It receives connection requests from group members, determines the optimal device to handle each connection based on current resource availability, and manages the shared connections. This centralized coordination improves resource efficiency by making optimal allocation decisions while consolidating management complexity into a single device rather than requiring complex peer-to-peer coordination protocols.
Data Source
AI summary
A method and apparatus for wireless communication device connectivity management includes receiving one or more metrics from at least two members of a group whose members are wireless communication devices. The members of the group have agreed to share resources within the group and have their wireless connections controlled by a wireless connectivity entity. The method and apparatus also includes managing the wireless connections of the at least two members by the connectivity management entity, based on the one or more metrics, to share resources between the at least two members.