P2P Game Network Using Sensor-Based Random Number Generation
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Solution Overview
Problem
Existing game systems face challenges in generating true random numbers, leading to pseudo-randomization, and are prone to central server failures and fraudulent activities when user devices generate game inputs, while also discouraging players due to high costs and addiction risks.
Innovation Solution
A peer-to-peer (P2P) game network system where user devices act as nodes to generate and process game data, using sensors to create game inputs and distribute them securely, reducing reliance on central servers and minimizing fraudulent risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a central server is used to generate random game input, then the system is easy to control and manage, but the cost of infrastructure and maintenance becomes significant as the number of system users increases
Solution Approach 1:
The patent segments the centralized random number generation function into distributed generation across multiple peer nodes in the network. Each node can generate random game inputs independently using its own sensors, eliminating the need for a single centralized server and distributing the computational load across the network infrastructure.
Solution Approach 2:
The patent enables peer devices to generate their own random game inputs using onboard sensors without requiring external server assistance. Each device serves itself by capturing sensor data (accelerometer, gyroscope, camera, microphone) and converting it into random game inputs, thereby eliminating dependency on centralized infrastructure.
2Ease of operation
If a central server is used to generate random game input, then the system is easy to control and manage, but the entire game system will be down if the central server fails or malfunctions
Solution Approach 1:
The patent divides the centralized control function into distributed peer-to-peer operations where each node operates independently. This segmentation ensures that failure of any single node does not affect the overall system availability, as other nodes continue to function and generate random inputs without interruption.
Solution Approach 2:
By enabling each peer device to generate its own random game inputs independently through sensor data, the system eliminates single-point failures. Each device is self-sufficient and can continue operating even if other nodes or potential central servers fail, thereby dramatically improving system availability.
3Quantity of substance
If user devices are programmed to generate game input data, then the opportunity for fraudulent activity increases, but the cost of infrastructure decreases
Solution Approach 1:
The patent applies local quality by using each device's unique sensor characteristics and physical environment to generate random inputs. The randomness is derived from local physical phenomena (sensor noise, environmental factors) that are inherently difficult to replicate or manipulate, providing inherent security against fraud while maintaining low infrastructure costs.
Solution Approach 2:
The patent converts the previously harmful effect of predictable algorithmic randomness into a benefit by using sensor-based physical randomness. The inherent variability and unpredictability of sensor data, which could be seen as a source of error, is transformed into a security feature that makes fraud detection and prevention more effective while reducing infrastructure requirements.
4Loss of energy
If traditional game of chance requires a bet or wager, then the game operator can generate revenue, but the cost of playing or risk of losing may discourage potential players
Solution Approach 1:
The patent enables peer devices to self-generate random game inputs using sensor data, eliminating the need for centralized server operations and associated costs. This reduction in operational costs allows the system to offer games without requiring bets or wagers, improving accessibility while maintaining sustainability through alternative revenue models such as advertising or optional purchases.
Data Source
AI summary
The disclosure relates to a system and a method of providing a game over a peer to peer network. The disclosure provides a method of providing a game over a peer to peer (P2P) game network, wherein the P2P game network comprises a plurality of user devices as the nodes of the network. The P2P game network is arranged to generate or process game data on a subset of the user devices of the game network in response to a user device not being a member of the subset user devices, generating a game data request to play a game.