Energy-aware meeting scheduling algorithms for smart buildings

Author(s):  
Abhinandan Majumdar ◽  
David H. Albonesi ◽  
Pradip Bose
2021 ◽  
Vol 10 (4) ◽  
pp. 67
Author(s):  
Najem Naji ◽  
Mohamed Riduan Abid ◽  
Nissrine Krami ◽  
Driss Benhaddou

The design of Wireless Sensor Networks (WSN) requires the fulfillment of several design requirements. The most important one is optimizing the battery’s lifetime, which is tightly coupled to the sensor lifetime. End-users usually avoid replacing sensors’ batteries, especially in massive deployment scenarios like smart agriculture and smart buildings. To optimize battery lifetime, wireless sensor designers need to delineate and optimize active components at different levels of the sensor’s layered architecture, mainly, (1) the number of data sets being generated and processed at the application layer, (2) the size and the architecture of the operating systems (OS), (3) the networking layers’ protocols, and (4) the architecture of electronic components and duty cycling techniques. This paper reviews the different relevant technologies and investigates how they optimize energy consumption at each layer of the sensor’s architecture, e.g., hardware, operating system, application, and networking layer. This paper aims to make the researcher aware of the various optimization opportunities when designing WSN nodes. To our knowledge, there is no other work in the literature that reviews energy optimization of WSN in the context of Smart Energy-Efficient Buildings (SEEB) and from the formerly four listed perspectives to help in the design and implementation of optimal WSN for SEEB.


2011 ◽  
Vol 60 (3) ◽  
pp. 360-374 ◽  
Author(s):  
Ziliang Zong ◽  
Adam Manzanares ◽  
Xiaojun Ruan ◽  
Xiao Qin

2014 ◽  
Vol 926-930 ◽  
pp. 3187-3190
Author(s):  
Yu Jing Wang ◽  
Lin Wu ◽  
Chao Kun Yan

As the features in Computational Grids such as heterogeneous and dynamic, grid task scheduling is an NP-complete problem. For existing energy consumption in CGs ,and based on the study of scheduling algorithms and energy, this thesis selects four kinds of intelligent algorithms GA, DE, HC and SA to analysis and implementation, and relatively researchs their makespan and energy consumption for energy-aware scheduling.


2016 ◽  
Vol 117 ◽  
pp. 153-165 ◽  
Author(s):  
Silvana Teodoro ◽  
Andriele Busatto do Carmo ◽  
Daniel Couto Adornes ◽  
Luiz Gustavo Fernandes

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