Wireless Sensor Network Power Saving via Interference-Based Duty Cycle
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing power-saving algorithms for wireless sensor networks, such as BECA, AFECA, and GAF, face limitations in extending network lifetime due to fixed or adaptive duty cycles, leading to inefficient energy consumption and network performance deterioration, especially in varying node densities and GPS-dependent location knowledge.
Innovation Solution
A power-saving method that dynamically adjusts the sleep and idle times of sensor nodes based on signal-to-noise ratio (SIR) and interference levels, allowing nodes to transition between power-saving and transmit/receive modes without affecting network connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If nodes use fixed duty cycle to reduce energy consumption, then power efficiency is improved, but network performance deteriorates due to inability to receive traffic during sleep/idle state
Solution Approach 1:
The patent implements dynamic duty cycle adjustment where each node independently adapts its sleep and idle periods based on real-time interference measurements. Instead of using a fixed duty cycle, nodes dynamically modify their activation patterns to balance energy savings with network performance requirements, resolving the contradiction between power efficiency and reliability.
Solution Approach 2:
The patent introduces a feedback mechanism where nodes measure interference levels in their vicinity and use this information to adjust their duty cycle. Nodes continuously monitor the environment and adapt their sleep/idle patterns based on measured conditions, ensuring that energy savings do not compromise network functionality when interference indicates active communication.
2Adaptability or versatility
If nodes adaptively determine sojourn times based on adjacent nodes, then network adaptability is improved, but unnecessary power consumption occurs due to overhearing traffic even with few adjacent nodes
Solution Approach 1:
The patent changes the parameter used for duty cycle determination from the number of adjacent nodes to the measured interference level. This parameter change allows nodes to adapt their behavior based on actual electromagnetic environment rather than topological information, reducing the need for continuous overhearing and neighbor discovery while maintaining adaptive performance.
Solution Approach 2:
The patent replaces the mechanical approach of overhearing and counting adjacent node transmissions with an electromagnetic field-based measurement approach. Instead of actively listening to detect neighbors, nodes measure the overall interference level in the medium, which provides information about network activity without requiring active participation in neighbor discovery protocols.
3Productivity
If nodes use GPS-based location knowledge to discover redundant nodes, then routing efficiency is improved, but system complexity and power consumption increase due to expensive GPS utilization
Solution Approach 1:
The patent extracts the essential function of GPS (determining node positions and redundancy) and implements it through a simpler, GPS-free mechanism. By measuring interference levels and using this information to determine duty cycles, the system achieves routing efficiency without extracting or utilizing GPS hardware, thereby reducing device complexity and power consumption while maintaining the ability to identify redundant nodes.
4Use of energy by moving object
If nodes extend sleep periods to save energy, then power efficiency is improved, but network connectivity is affected due to missed traffic during extended idle states
Solution Approach 1:
The patent implements dynamic adjustment of sleep and idle periods where nodes can extend sleep periods for energy savings but dynamically activate during idle periods when interference measurements indicate ongoing network activity. This dynamic behavior ensures that nodes remain connected and can receive traffic when needed while maximizing energy savings during low-activity periods.
Solution Approach 2:
The patent maintains continuity of useful action by ensuring nodes periodically wake up during idle periods to monitor interference levels and potential traffic. This continuous monitoring capability ensures that nodes do not miss important network communications even when in low-power states, maintaining network connectivity while preserving energy savings.
Data Source
AI summary
A power saving method of the present invention is provide for a wireless sensor network including a plurality of sensor nodes each transiting between a power saving mode and a transmit/receive mode, determines whether or not there is no transmit or receive data, enters the power saving mode if there is no transmit or receive data, and controls power consumption on the basis of signal-to-noise ratios in the power saving mode. In the power saving method of the present invention, it is possible to minimize the power consumption regardless of nodes density and without an adverse effect on the connectivity of the network, since the sojourn times of the sleep and idle states are determined adaptive to the interference level from neighboring nodes.