The Effect of Spreading Factor on Network Lifetime and Energy Consumption Rate of Low Energy Adaptive Clustering Hierarchy (LEACH)

2009 ◽  
Author(s):  
Bhaskar P. Deosarkar ◽  
Narendra Singh Yadav ◽  
R.P. Yadav
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Consumption Rate ◽  
Low Energy ◽  
Spreading Factor ◽  
Adaptive Clustering ◽  
Energy Consumption Rate

Adaptive Duty Cycle Medium Access Control Protocol for Wireless Sensor Networks

2016 ◽  
Vol 5 (2) ◽  
pp. 79
Author(s):  
Anand Babu
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Duty Cycle ◽  
Consumption Rate ◽  
Medium Access Control Protocol ◽  
Sleep Mode ◽  
Medium Access ◽  
Low Energy Consumption ◽  
Idle Listening ◽  
Energy Consumption Rate

<p>To increase the network lifetime of WSNs is a major concern. Network lifetime can be increased by reducing energy consumptions through MAC protocols periodic and a- periodic sleep mode mechanisms. The short duty cycle makes sensors have low energy consumption rate but increases the transmission delay and long duty cycle makes the sensor to increase the energy consumption and reduce the delay. Duty cycle need to be adaptively varied to reduce the idle listening. In the proposed Adaptive Duty cycle MAC (ADMAC) protocol, duty cycle is varied by taking nodes rate of energy consumption and filled queue length in account. It reduces the delay and energy spent by reducing the idle listening. ADMAC is realized in NS2 and its performance is compared with SMAC.</p>

Organized Selection Cluster Head on Fuzzy Low-Energy Adaptive Clustering Hierarchy Protocol in Three-Dimensional Wireless Sensor Networks

2020 ◽  
Vol 10 ◽  
Author(s):  
Abderrahmane El Aalaoui ◽  
Abderrahmane Hajraoui
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Cluster Head ◽  
Three Dimensional ◽  
Low Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Balancing ◽  
Adaptive Clustering ◽  
Development Approach

: In this paper, we propose an enhancement approach to reduce the energy consumption, extend the network lifetime and improve the performance of protocol Fuzzy Low-Energy Adaptive Clustering Hierarchy Algorithm (Fuzzy LEACH). This improvement in order to augment the energy balancing in clusters among all sensor nodes and to minimize the energy dissipation during network communications. The proposed method is based on a cluster head selection method. Moreover, an enhanced organization of this selection has been implemented. Therefore, the development approach indicates a progress in terms of network lifetime, energy consumption and number of packets transferred to BS compared to Low-Energy Adaptive Clustering Hierarchy Algorithm (LEACH) and other related extended spaces protocols. Mathematical analysis and MATLAB 2013a simulation results show the effectiveness of the proposed approach. The new approach reduce the energy consumption of Wireless Sensor Network (WSN) about 0.99% to 5.64%, prolongs the network life cycle by 42% and increases the number of packets sent by 86% to 732%.

scholarly journals ANALYSIS OF THE ENERGY CONSUMPTION RATE OF OFFICE BUILDINGS BY THE TYPE OF HEAT SOURCE EQUIPMENTS

2013 ◽  
Vol 19 (43) ◽  
pp. 1017-1022
Author(s):  
Yorimasa IKI ◽  
Satoshi SUDO ◽  
Hiroshi YOSHINO ◽  
Shuzo MURAKAMI ◽  
Kazuaki BOGAKI ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Heat Source ◽  
Consumption Rate ◽  
Office Buildings ◽  
Energy Consumption Rate

Modified Low Energy Adaptive Clustering Hierarchy Protocol for Efficient Energy Consumption in Wireless Sensor Networks

2014 ◽  
Vol 9 (11) ◽  
pp. 1904 ◽  
Author(s):  
Mohammed Joda Usman ◽  
Zhang Xing ◽  
Haruna Chiroma ◽  
Abdulsalam Ya’u Gital ◽  
Adamu I. Abubakar ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Low Energy ◽  
Wireless Sensor ◽  
Efficient Energy ◽  
Adaptive Clustering
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