Existing Green Computing Techniques: An Insight

2021 ◽  
pp. 87-95
Author(s):  
Nafisur Rahman
Keyword(s):  
Green Computing

An E-learning System in Malaysia based on Green Computing and Energy Level

2017 ◽  
Vol 1 (4-2) ◽  
pp. 184 ◽  
Author(s):  
Arif Ullah ◽  
Nazri Mohd Nawi ◽  
Asim Shahzad ◽  
Sundas Naqeeb Khan ◽  
Muhammad Aamir
Keyword(s):  
Environmental Concern ◽  
Specific Area ◽  
Green Computing ◽  
Learning System ◽  
Main Step ◽  
Primary Concern ◽  
Green Is ◽  
E Learning ◽  
Energy Consuming ◽  
Power And Energy

The increasing of energy cost and also environmental concern on green computing gaining more and more attention. Power and energy are a primary concern in the design and implementing green computing. Green is of the main step to make the computing world friendly with the environment.  In this paper, an analysis on the comparison of green computer with other computing in E-learning environment had been done. The results show that green computing is friendly and less energy consuming. Therefore, this paper provide some suggestions in overcoming one of main challenging problems in environment problems which need to convert normally computing into green computing. In this paper also, we try to find out some specific area which consumes energy as compared to green computing in E –learning centre in Malaysia. The simulation results show that more than 30% of energy reduction by using green computing.

PENERAPAN GREEN COMPUTING PADA KUISIONER INSTRUMEN PENILAIAN KINERJA DOSEN DI POLITEKNIK NEGERI SUBANG

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Nunu Nugraha Purnawan
Keyword(s):  
Data Collection ◽  
Literature Review ◽  
Performance Assessment ◽  
Research Method ◽  
Field Research ◽  
Green Computing ◽  
Assessment Instrument ◽  
Computer Hardware ◽  
Model Free ◽  
Collection Methods

The lecturer's performance assessment by students in the form of an online Lecturer Performance Assessment Instrument Questionnaire (KIPKD) is in line with the work concepts of Green Computing by utilizing computer hardware and software better, more efficiently and more useful. KIPKD online POLSUB uses Google Forms, because it has an attractive and responsive look, provides a fairly complete choice of stuffing model, free, the results are neatly arranged and can be analyzed easily. This research method uses literature review in the form of books, journals that discuss about topics related to the use of Google Forms as a medium in the manufacture of questionnaires for surveys and data collection, as well as related to the concept of Green Computing. While data collection methods used in field research by way of observation of the system running in the academic POLSUB. The use of KIPKD online illustrates that POLSUB participates in preserving the environment, with no 12 paper/year rims, equivalent to 12 tree trunks.

An Energy Efficient Routing Approach to Enhance Coverage for Application Specific Wireless Sensor Networks using Genetic Algorithm

2019 ◽  
Vol 13 ◽  
Author(s):  
Amandeep Kaur Sohal ◽  
Ajay Kumar Sharma ◽  
Neetu Sood
Keyword(s):  
Genetic Algorithm ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Transmission ◽  
Energy Efficient ◽  
Search Algorithm ◽  
Cluster Formation ◽  
Green Computing ◽  
Wireless Sensor ◽  
Energy Efficient Routing

Background: An information gathering is a typical and important task in agriculture monitoring and military surveillance. In these applications, minimization of energy consumption and maximization of network lifetime have prime importance for green computing. As wireless sensor networks comprise of a large number of sensors with limited battery power and deployed at remote geographical locations for monitoring physical events, therefore it is imperative to have minimum consumption of energy during network coverage. The WSNs help in accurate monitoring of remote environment by collecting data intelligently from the individual sensors. Objective: The paper is motivated from green computing aspect of wireless sensor network and an Energy-efficient Weight-based Coverage Enhancing protocol using Genetic Algorithm (WCEGA) is presented. The WCEGA is designed to achieve continuously monitoring of remote areas for a longer time with least power consumption. Method: The cluster-based algorithm consists two phases: cluster formation and data transmission. In cluster formation, selection of cluster heads and cluster members areas based on energy and coverage efficient parameters. The governing parameters are residual energy, overlapping degree, node density and neighbor’s degree. The data transmission between CHs and sink is based on well-known evolution search algorithm i.e. Genetic Algorithm. Conclusion: The results of WCEGA are compared with other established protocols and shows significant improvement of full coverage and lifetime approximately 40% and 45% respectively.

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