Remote Server Optimizes Wireless Sensor Network Energy
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Solution Overview
Problem
Wireless sensor networks face challenges in reducing power consumption and prolonging the lifetime of battery-powered nodes, as existing energy-saving methods are primarily self-managed and lack remote management capabilities, especially in the context of the Internet of Things where remote servers can provide additional support.
Innovation Solution
An energy-saving management method and system that utilizes a remote management server to collect and analyze energy information, network topology, and node hibernation data from wireless sensor networks, making decisions to optimize network topology and node hibernation/wakeup strategies, thereby reducing power consumption and extending network lifetime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If energy-saving processing is performed only by the wireless sensor network itself, then the network can operate autonomously, but the network lifetime is limited due to battery constraints and lack of external optimization
Solution Approach 1:
The patent introduces a remote management server as an intermediary that collects energy information from sensor nodes, performs centralized energy-saving decisions, and sends control commands back to the network. This mediator enables external optimization of power consumption without requiring complex local processing at each node, thereby extending network lifetime while reducing overall power usage.
Solution Approach 2:
The system implements a feedback mechanism where sensor nodes periodically report their energy status (remaining energy, hibernation state) to the remote management server. The server processes this feedback information and generates appropriate energy-saving commands, creating a closed-loop control system that continuously optimizes power consumption based on actual network conditions.
2Loss of energy
If the remote management server collects detailed energy information and makes centralized decisions, then energy-saving efficiency is improved, but the communication overhead and processing complexity increase
Solution Approach 1:
The patent extracts the complex energy-saving decision-making process from individual sensor nodes and concentrates it in the remote management server. This extraction allows simple sensor nodes to only perform basic functions (monitoring and reporting), while the complex optimization algorithms run remotely, reducing overall system complexity at the node level while maintaining high energy-saving efficiency.
Solution Approach 2:
The remote management server serves multiple functions: collecting energy information from multiple nodes, storing historical data, performing energy-saving calculations, generating control commands, and managing network-wide optimization. This multi-functional approach consolidates complexity into a single universal platform rather than requiring complex functionality at each node.
3Measurement precision
If nodes frequently transmit energy status information to the server, then the server can make accurate energy-saving decisions, but the power consumption increases due to frequent communication
Solution Approach 1:
The system implements periodic reporting where sensor nodes transmit their energy status information at predetermined intervals rather than continuously or on-demand. This periodic action balances the need for accurate energy status information with the constraint of communication power consumption, allowing the server to make sufficiently accurate decisions without excessive energy expenditure on data transmission.
Data Source
Figure 1~3
AI summary
The present invention provides an energy-saving management method and system for a wireless sensor network, and a remote management server. In the method, the wireless sensor network sends remaining energy information of a node, and/or network topology information, and/or node hibernation information to a remote management server through a gateway device; the remote management server stores the information, makes an energy-saving decision according to the information, and sends the energy-saving decision to the wireless sensor network through the gateway device; and the wireless sensor network makes a response according to the energy-saving decision. Through the solutions, the remote management server provides the wireless sensor network with an energy-saving strategy so as to reduce the processing amount of the wireless sensor network caused by network topology management, thereby reducing the power consumption, prolonging the lifetime, and implementing the remote energy-saving management of the wireless sensor network.