Wireless Sensor Network Mesh Routing for Scalable Energy Management
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Solution Overview
Problem
Conventional wireless sensor networking technologies are inadequate for dynamically changing environments and large-scale energy management in buildings, such as hotels, due to limitations in scalability, reliability, and ease of installation, which hinders effective energy arbitrage opportunities.
Innovation Solution
A wireless sensor network system that allows for easy and inexpensive installation of battery-operated sensors with auto-discovery capabilities, using a mesh network architecture with decentralized routing and burst transmission techniques to ensure high reliability and low latency, and integrates with blockchain for secure data management and authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional wireless sensor networking technologies are used, then installation is simpler, but scalability and reliability are insufficient for large-scale energy management
Solution Approach 1:
The system segments the wireless sensor network into hierarchical layers including battery-operated sensors, mesh network nodes, and centralized energy management components. Each segment operates semi-independently with defined communication protocols, enabling scalable deployment across multiple buildings while maintaining data reliability through distributed routing and redundancy mechanisms.
2Ease of operation
If battery-operated sensors with auto-discovery are deployed, then ease of installation improves, but power consumption management becomes critical
Solution Approach 1:
The system implements periodic sleep-wake cycles for battery-operated sensors, where sensors enter low-power sleep mode between measurement intervals and activate periodically to collect and transmit data. Auto-discovery mechanisms operate during initialization phases, allowing sensors to automatically join the mesh network without manual configuration, thereby reducing installation complexity while managing power consumption through structured periodic operation.
Solution Approach 2:
Battery-operated sensors possess auto-discovery capabilities that enable them to automatically detect available mesh network nodes, negotiate communication parameters, and integrate into the network without external assistance. This self-service mechanism simplifies deployment by eliminating manual pairing or configuration steps while the system manages power consumption through optimized transmission schedules and sleep modes.
3Reliability
If mesh network architecture with decentralized routing is implemented, then reliability and scalability improve, but device complexity increases
Solution Approach 1:
The system introduces standardized communication protocols and abstraction layers that mediate between complex decentralized routing operations and simple sensor nodes. Mesh network nodes follow predefined routing algorithms that automatically adapt to network changes, providing reliable data transmission without requiring complex decision-making at each device level. The intermediary protocol layer handles route discovery, maintenance, and optimization centrally or semi-centrally.
4Productivity
If real-time energy consumption adjustments are enabled, then energy arbitrage opportunities improve, but data transmission frequency and power consumption increase
Solution Approach 1:
The system implements feedback mechanisms where energy consumption data collected by sensors is aggregated and analyzed to generate real-time adjustments in building energy systems. The feedback loop operates at optimized intervals, transmitting only essential aggregated data rather than continuous raw measurements, thereby enabling energy arbitrage opportunities while controlling transmission frequency and power consumption through intelligent data filtering and selective reporting.
Data Source
AI summary
This disclosure provides systems, method, and computer-readable media for operating a sensor network. The sensor network can include an array of sensor devices and gateways. The sensor devices can sense various conditions of an environment. The sensor devices can include temperature sensors, occupancy detectors, access sensors, motion sensors, tracking devices, etc. The sensor devices can also network and communicate with one another and the gateways in an ad hoc or mesh network. The environment can include different locations, such as warehouse, office building, a complex of buildings, cargo vehicles, containers or the like. The sensor network can be deployed for controlling power consumption, logistics, automated manufacturing, healthcare, intelligent buildings, and smart cities among many other implementations. The sensor devices can communicate sensed conditions and transmit data among each other without a predefined route. When a gateway receives the data, the data can be stored and analyzed at a different location.


