Hybrid V-MIMO Routing for Energy-Efficient Wireless Ad Hoc Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless ad hoc networks face challenges in configuring optimal transmission paths that balance energy efficiency and connectivity, particularly in multi-hop environments where conventional V-MIMO protocols are inefficient due to high energy consumption and delay, especially for short data transmission distances.
Innovation Solution
A method and apparatus for configuring an optimal data transmission path by calculating the number of optimal cooperative nodes, transmitting a cooperative node request message, receiving replies, and setting up an optimal transmission path using cooperative nodes and reception nodes in each hop, allowing for the selection of the most energy-efficient transmission schemes like SISO, V-MISO, V-SIMO, and V-MIMO based on network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If V-MIMO transmission technique is used to achieve multiplexing gain, then bandwidth efficiency is improved, but energy consumption increases and transmission delay occurs
Solution Approach 1:
The patent segments the transmission path into multiple hops, where each hop uses a simplified transmission scheme (SISO, V-SISO, V-MISO, or V-MIMO) selected based on local conditions. This segmentation allows the system to achieve multiplexing gain only where beneficial while reducing energy consumption in other segments, resolving the contradiction between bandwidth efficiency and energy consumption.
Solution Approach 2:
The patent dynamically selects the transmission scheme (SISO, V-SISO, V-MISO, or V-MIMO) for each hop based on real-time network conditions, node capabilities, and transmission requirements. This dynamic adaptation allows the system to use V-MIMO only when it provides net energy savings, thereby resolving the contradiction between achieving multiplexing gain and minimizing energy consumption.
2Reliability
If V-MIMO transmission technique is used for short data transmission distance, then connectivity is maintained, but energy efficiency deteriorates
Solution Approach 1:
The patent dynamically adapts the transmission scheme based on transmission distance and network conditions. For short distances where V-MIMO would be inefficient, the system dynamically selects simpler schemes like SISO or V-SISO, thereby maintaining connectivity while improving energy efficiency. This dynamic selection resolves the contradiction between connectivity and energy efficiency for short transmission distances.
Solution Approach 2:
The patent changes the transmission parameters (number of antennas, transmission scheme type) based on transmission distance and network conditions. By adjusting these parameters dynamically, the system achieves optimal energy efficiency for each specific scenario while maintaining required connectivity, resolving the contradiction for short transmission distances.
3Use of energy by moving object
If hybrid V-MIMO transmission path is configured to optimize energy efficiency, then energy consumption is reduced, but system complexity increases
Solution Approach 1:
The patent segments the complex V-MIMO system into multiple simpler hops, where each hop uses a basic transmission scheme. This segmentation reduces the complexity at each node while maintaining overall system performance, resolving the contradiction between energy efficiency optimization and system complexity.
Solution Approach 2:
The patent introduces intermediate relay nodes that perform simple transmission functions, acting as mediators between source and destination. These intermediaries reduce the complexity at each individual node while enabling optimized energy-efficient paths, resolving the contradiction between energy consumption reduction and system complexity.
4Use of energy by moving object
If cooperative nodes are selected for multi-hop transmission to improve energy efficiency, then energy consumption is reduced, but transmission delay increases
Solution Approach 1:
The patent dynamically selects cooperative nodes and transmission schemes based on real-time conditions, optimizing the balance between energy consumption and transmission delay. By adapting the number of hops and transmission mode dynamically, the system reduces energy consumption without incurring excessive delay, resolving the contradiction between these two parameters.
Data Source
AI summary
The present invention relates to a method for setting the optimum transmission path for increasing energy efficiency in a wireless ad hoc network. More particularly, the present invention relates to setting an optimized data transmission path in a multi-hop data transmission environment in a wireless network comprising machine to machine (M2M) communication devices, which operate with limited energy, based on link information of the network, such as the position of a node in the network. And to this end, the present invention relates to a wireless M2M communication network protocol minimizing energy consumption by selecting the optimum transmission method for each of the hops from the following transmission methods: a single input single output (SISO) method; a virtual single input multiple output (V-SIMO) method; and a virtual multiple input multiple output (V-MIMO) method.