Title
Foged Energy Optimization in Smart Homes.
Abstract
In this paper, Smart Grid (SG) efficiency is improved by introducing Cloud-based environment. To access the services and hostage of cloud large number of requests are entertained from Smart Homes (SHs). These SHs exists in clusters of smart buildings. When the number of requests increase, delay, latency and response time also increase. To overcome these issues, Fog is introduced, which act as an intermediate layer between the cloud and consumer. Five Micro Grids (MGs) are attached to each cluster of the smart building to manage its requests. By using Fog base environment, the delay and latency decreases. The response time also increases with less processing time. To handle the load on cloud different load balancing algorithms and service broker policies exist. In order to manage the load, Honey Bee (HB) is implemented. HB is compared with existing algorithm Round Robin (RR). It gives better results than RR.
Year
DOI
Venue
2018
10.1007/978-3-319-93554-6_24
INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING, IMIS-2018
Keywords
Field
DocType
Fog,Smart Homes,Load balancing,Service Broker Policy,Round Robin,Honey Bee
Smart grid,Intermediate layer,Computer science,Latency (engineering),Load balancing (computing),Computer network,Response time,Building automation,Cloud computing,Energy minimization
Conference
Volume
ISSN
Citations 
773
2194-5357
0
PageRank 
References 
Authors
0.34
3
6
Name
Order
Citations
PageRank
Ayesha Anjum Butt102.03
Nadeem Javaid21043222.46
Sana Mujeeb310.70
Salman Ahmed400.34
Malik Muhammad Shahid Ali500.34
Waqar Ali612.04