بایگانی برچسب برای: Home Automation

Location-Based Self-Adaptive Routing Algorithm for[taliem.ir]

Location-Based Self-Adaptive Routing Algorithm for Wireless Sensor Networks in Home Automation

The use of wireless sensor networks in home automation (WSNHA) is attractive due to their characteristics of self-organization, high sensing fidelity, low cost, and potential for rapid deployment. Although the AODVjr routing algorithm in IEEE 802.15.4/ZigBee and other routing algorithms have been designed for wireless sensor networks, not all are suitable for WSNHA .In this paper, we propose a location-based self-adaptive routing algorithm for WSNHA called WSNHA-LBAR. It confines route discovery flooding to a cylindrical request zone, which reduces the routing overhead and decreases broadcast storm problems in the MAC layer. It also automatically adjusts the size of the request zone using a self-adaptive algorithm based on Bayes’ theorem .This makes WSNHA-LBAR more adaptable to the changes of the network state and easier to implement. Simulation results show improved network reliability as well as reduced routing overhead.
Exploiting Home Automation Protocols[taliem.ir]

Exploiting Home Automation Protocols for Load Monitoring in Smart Buildings

Monitoring and controlling electrical loads is crucial for demand-side energy management in smart grids. Home automation (HA) protocols, such as X10 and Insteon, have provided programmatic load control for many years, and are being widely deployed in early smart grid field trials. While HA protocols include basic monitoring functions, extreme bandwidth limitations (<180bps) have prevented their use in load monitoring. In this paper, we highlight challenges in designing AutoMeter, a system for exploiting HA for accurate load monitoring at scale. We quantify Insteon’s limitations to query device status—once every 10 seconds to achieve less than 5% loss rate—and then evaluate techniques to disaggregate coarse HA data from fine- grained building-wide power data. In particular, our techniques learn switched load power using on-off-dim events, and tag fine-grained building-wide power data using readings from plug meters every 5 minutes .
Exploiting Home Automation Protocols[taliem.ir]

Exploiting Home Automation Protocols for Load Monitoring in Smart Buildings

Monitoring and controlling electrical loads is crucial for demand-side energy management in smart grids. Home automation (HA) protocols, such as X10 and Insteon, have provided programmatic load control for many years, and are being widely deployed in early smart grid field trials. While HA protocols include basic monitoring functions, extreme bandwidth limitations (<180bps) have prevented their use in load monitoring. In this paper, we highlight challenges in designing AutoMeter, a system for exploiting HA for accurate load monitoring at scale. We quantify Insteon’s limitations to query device status—once every 10 seconds to achieve less than 5% loss rate—and then evaluate techniques to disaggregate coarse HA data from fine- grained building-wide power data. In particular, our techniques learn switched load power using on-off-dim events, and tag fine-grained building-wide power data using readings from plug meters every 5 minutes.