SYNISYJun 14, 2021

Indoor Location for Smart Environments with Wireless Sensor and Actuator Networks

arXiv:1705.0954313 citationsh-index: 44
AI Analysis

For developers of smart building systems, this work provides an integrated solution combining indoor positioning, WSAN, and automation, but it is an incremental integration of existing technologies.

This paper presents Smart Syndesi, a system for indoor location-aware smart environments using wireless sensor and actuator networks. The system achieves high-accuracy indoor tracking and automates environmental monitoring and actuation based on user location.

Smart environments interconnect indoor building environments, indoor wireless sensor and actuator networks, smartphones, and human together to provide smart infrastructure management and intelligent user experiences. To enable the "smart" operations, a complete set of hardware and software components are required. In this work, we present Smart Syndesi, a system for creating indoor location-aware smart building environments using wireless sensor and actuator networks (WSANs). Smart Syndesi includes an indoor tracking system, a WSAN for indoor environmental monitoring and activation automation, and a gateway interconnecting WSAN, tracking system with mobile users.The indoor positioning system tracks the real-time location of occupants with high accuracy, which works as a basis for indoor location-based sensor actuation automation.To show how the multiple software/hardware components are integrated, we implemented the system prototype and performed intensive experiments in indoor office environments to automate the indoor location-driven environmental sensor monitoring and activation process. The tracked indoor location of a user's smartphone triggers the retrieval of environmental measurements and activates the actuators automatically (i.e. turn on/off lights, switch on/off fans) based on the location and correlated environmental sensor information.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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