A new approach for trust management according to energy consumption in iot network nodes

2022 ◽  
Author(s):  
Sarah Ali Alshawi ◽  
Zainab Sabah Idan
Keyword(s):  
Energy Consumption ◽  
Trust Management ◽  
New Approach ◽  
Network Nodes

Spatial-temporal data collection process models using mobile sinks

2019 ◽  
Vol 942 (12) ◽  
pp. 22-28
Author(s):  
A.V. Materuhin ◽  
V.V. Shakhov ◽  
O.D. Sokolova
Keyword(s):  
Energy Consumption ◽  
Operation Time ◽  
Point Of View ◽  
Process Models ◽  
Temporal Data ◽  
Network Nodes ◽  
Mobile Sinks ◽  
Autonomous Operation ◽  
Data Collection Process ◽  
Spatio Temporal

Optimization of energy consumption in geosensor networks is a very important factor in ensuring stability, since geosensors used for environmental monitoring have limited possibilities for recharging batteries. The article is a concise presentation of the research results in the area of increasing the energy consumption efficiency for the process of collecting spatio-temporal data with wireless geosensor networks. It is shown that in the currently used configurations of geosensor networks there is a predominant direction of the transmitted traffic, which leads to the fact that through the routing nodes that are close to the sinks, a much more traffic passes than through other network nodes. Thus, an imbalance of energy consumption arises in the network, which leads to a decrease in the autonomous operation time of the entire wireless geosensor networks. It is proposed to use the possible mobility of sinks as an optimization resource. A mathematical model for the analysis of the lifetime of a wireless geosensor network using mobile sinks is proposed. The model is analyzed from the point of view of optimization energy consumption by sensors. The proposed approach allows increasing the lifetime of wireless geosensor networks by optimizing the relocation of mobile sinks.

Energy Consumption in Discrete Part Production

2011 ◽  
Author(s):  
Devi K. Kalla ◽  
Samantha Corcoran ◽  
Janet Twomey ◽  
Michael Overcash
Keyword(s):  
Energy Consumption ◽  
Life Cycles ◽  
Manufacturing Processes ◽  
New Approach ◽  
Energy Data ◽  
Important Improvement ◽  
Drilling Unit ◽  
Cradle To Gate ◽  
Discrete Part ◽  
Manufacturing Machine

It is widely recognized that industrial production inevitably results in an environmental impact. Energy consumption during production is responsible for a part of this impact, but is often not provided in cradle-to-gate life cycles. Transparent description of the transformation of materials, parts, and chemicals into products is described herein as a means to improve the environmental profile of products and manufacturing machine. This paper focuses on manufacturing energy and chemicals/materials required at the machine level and provides a methodology to quantify the energy consumed and mass loss for simple products in a manufacturing setting. That energy data are then used to validate the new approach proposed by (Overcash et.al, 2009a, and 2009b) for drilling unit processes. The approach uses manufacturing unit processes as the basis for evaluating environmental impacts at the manufacturing phase of a product’s life cycle. Examining manufacturing processes at the machine level creates an important improvement in transparency which aids review and improvement analyses.

A new approach to analyse conditional demand: An application to Australian energy consumption

2021 ◽  
Vol 93 ◽  
pp. 105037
Author(s):  
Saroja Selvanathan ◽  
E.A. Selvanathan ◽  
Maneka Jayasinghe
Keyword(s):  
Energy Consumption ◽  
New Approach

Green DRCT

2017 ◽  
Vol 7 (1) ◽  
pp. 14-29
Author(s):  
Sangharatna Godboley ◽  
Arpita Dutta ◽  
Durga Prasad Mohapatra
Keyword(s):  
Energy Consumption ◽  
Software Testing ◽  
Transformation Method ◽  
New Approach ◽  
Code Coverage ◽  
Coverage Metrics ◽  
Branch Coverage ◽  
Concolic Testing ◽  
Green Software ◽  
Environment Sustainability

Being a good software testing engineer, one should have the responsibility towards environment sustainability. By using green principles and regulations, we can perform Green Software Testing. In this paper, we present a new approach to enhance Branch Coverage and Modified Condition/Decision Coverage uses concolic testing. We have proposed a novel transformation technique to improve these code coverage metrics. We have named this new transformation method Double Refined Code Transformer (DRCT). Then, using JoulMeter, we compute the power consumption and energy consumption in this testing process. We have developed a tool named Green-DRCT to measure energy consumption while performing the testing process.

scholarly journals A New Approach of EV Modeling and its Control Applications to Reduce Energy Consumption

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 141209-141225 ◽  
Author(s):  
Rina Ristiana ◽  
Arief Syaichu Rohman ◽  
Carmadi Machbub ◽  
Agus Purwadi ◽  
Estiko Rijanto
Keyword(s):  
Energy Consumption ◽  
Control Applications ◽  
New Approach ◽  
Reduce Energy Consumption

Research and Improvement of LEACH Routing Protocol

2015 ◽  
Vol 713-715 ◽  
pp. 2296-2299
Author(s):  
Xue Ming Zhai ◽  
Liang Yang ◽  
Lei Yang
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Load Balance ◽  
Network Routing ◽  
Base Station ◽  
Network Nodes ◽  
Cluster Heads ◽  
Load Imbalance ◽  
Ns2 Simulation ◽  
Simulation Results

LEACH is a classic wireless network routing protocol, the large energy consumption of LEACH cluster heads leads to the load imbalance of network nodes in order to shorten the life of network, the paper proposed an improved LEACH-M protocol to solve the problem, so that the shortest path between cluster heads and base station is formed, finally the NS2 simulation results show that the load balance of network is improved, and the lifetime of network is extended.

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