scholarly journals Data Consistency Management in an Open Smart Home Management Platform

2014 ◽  
Author(s):  
Jie Song ◽  
Silvia Calatrava Sierra ◽  
Jaime Caffarel Rodriguez ◽  
Jorge Martin Perandones ◽  
Guillermo del Campo Jimenez ◽  
...  
Keyword(s):  
Smart Home ◽  
Data Consistency ◽  
Home Management ◽  
Consistency Management ◽  
Management Platform

An Adaptive-Grained Consistency Maintenance Scheme for Shared Data on Emergency and Rescue Applications

2013 ◽  
Vol 5 (2) ◽  
pp. 54-71 ◽  
Author(s):  
Jyh-Biau Chang ◽  
Po-Cheng Chen ◽  
Ce-Kuen Shieh ◽  
Jia-Hao Yang ◽  
Sheng-Hung Hsieh
Keyword(s):  
Data Availability ◽  
Data Consistency ◽  
Network Partitioning ◽  
Source Codes ◽  
Consistency Management ◽  
Management Scheme ◽  
Replication Scheme ◽  
Efficient Information ◽  
Replication Technique ◽  
Optimistic Replication

Efficient information sharing is difficult to achieve in the scenario of emergency and rescue operations because there is no communication infrastructure at the disaster sites. In general, the network condition is relatively reliable in the intra-site environment but relatively unreliable in the inter-site environment. The network partitioning problem may occur between two sites. Although one can exploit the replication technique used in data grid to improve the information availability in emergency and rescue applications, the data consistency problem occurs between replicas. In this paper, the authors propose a middleware called “Seagull” to transparently manage the data availability and consistency issues of emergency and rescue applications. Seagull adopts the optimistic replication scheme to provide the higher data availability in the inter-site environment. It also adopts the pessimistic replication scheme to provide the stronger data consistency guarantee in the intra-site environment. Moreover, it adopts an adaptive consistency granularity strategy that achieves the better performance of the consistency management because this strategy provides the higher parallelism when the false sharing happens. Lastly, Seagull adopts the transparency data consistency management scheme, and thus the users do not need to modify their source codes to run on the Seagull.

Design of Smart Home Management System based on MQTT and FBP

2018 ◽  
Author(s):  
Zhonghua Li ◽  
Yumei Xiao ◽  
Shuai Liang ◽  
Shanjin Wang
Keyword(s):  
Management System ◽  
Smart Home ◽  
Home Management

scholarly journals Fuzzy Efficient Energy Smart Home Management System for Renewable Energy Resources

2020 ◽  
Vol 12 (8) ◽  
pp. 3115
Author(s):  
Ronggang Zhang ◽  
Sathishkumar V E ◽  
R. Dinesh Jackson Samuel
Keyword(s):  
Renewable Energy ◽  
Expert System ◽  
Energy Management ◽  
Smart Home ◽  
Demand Management ◽  
Fuzzy Expert System ◽  
Renewable Energy Resources ◽  
Home Management ◽  
Efficient Energy ◽  
Input Variables

This article provides a fuzzy expert system for efficient energy smart home management systems (FES-EESHM), demand management, renewable energy management, energy storage, and microgrids. The suggested fuzzy expert framework is utilized to simplify designing smart microgrids with storage systems, renewable sources, and controllable loads on resources. Further, the fuzzy expert framework enhances energy and storage to utilize renewable energy and maximize the microgrid’s financial gain. Moreover, the fuzzy expert system utilizes insolation, electricity price, wind speed, and load energy controllably and unregulated as input variables to enable energy management. It uses input variables including insolation, electrical quality, wind, and the power of uncontrollable and controllable loads to allow energy management. Furthermore, these input data can be calculated, imported, or predicted directly via grid measurement using any prediction process. In this paper, the input variables are fuzzified, a series of rules are specified by the expert system, and the output is de-fuzzified. The findings of the expert program are discussed to explain how to handle microgrid power consumption and production. However, the decisions on energy generated, controllable loads, and own consumption are based on three outputs. The first production is for processing, selling, or consuming the energy produced. The second output is used for controlling the load. The third result shows how to produce for prosumer’s use. The expert method can be checked via the hourly input of variable values. Finally, to confirm the findings, the method suggested is compared to other available approaches.

scholarly journals Consensual Negotiation-Based Decision Making for Connected Appliances in Smart Home Management Systems

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2206 ◽  
Author(s):  
Khac-Hoai Bui ◽  
Jason Jung ◽  
David Camacho
Keyword(s):  
Decision Making ◽  
Smart Home ◽  
Management Systems ◽  
Home Management

Design of Smart Home Management System Based on GSM and Zigbee

2013 ◽  
Vol 842 ◽  
pp. 703-707 ◽  
Author(s):  
Jian Min Wang ◽  
Hai Bo Wei
Keyword(s):  
Wireless Communication ◽  
Mobile Phones ◽  
Management System ◽  
Short Distance ◽  
Smart Home ◽  
Control Network ◽  
Home Management ◽  
Communication Module ◽  
And Control

The design is mainly achieved the network that based on the new short-distance wireless instead of the traditional wired as a family of internal data and control network, and built smart home managementsystem based on embedded GSM technology . The design of smart home managementsystem consists of five parts: ARM controller platform, mobile phones, GSM wireless communication module, Zigbee Coordinator nodes, Zigbee Terminal nodes and sensor parts.

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