scholarly journals Energy-Efficient Node Selection Algorithms with Correlation Optimization in Wireless Sensor Networks

2014 ◽  
Vol 10 (3) ◽  
pp. 576573 ◽  
Author(s):  
Hongju Cheng ◽  
Zhihuang Su ◽  
Daqiang Zhang ◽  
Jaime Lloret ◽  
Zhiyong Yu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Node Selection ◽  
Selection Algorithms

Coverage-Preserving Multi-Path Routing Algorithm for Wireless Sensor Networks

2011 ◽  
Vol 225-226 ◽  
pp. 199-202
Author(s):  
Qui Yun Wu ◽  
Xiang Hui Liu ◽  
Ning Jing
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Wireless Sensor ◽  
Route Selection ◽  
Network Coverage ◽  
Efficient Route ◽  
Selection Algorithms

A major challenge in sensor network is to preserve the coverage of the sensing network for the maximum possible time. When the density is sparse, coverage needs to be preserved by using energy-efficient route-selection algorithms. Coverage-preserving multi-path routing algorithm has been proposed that conserve energy while increasing the lifetime of routes and keep preserving network coverage.

scholarly journals EERS: Energy-Efficient Reference Node Selection Algorithm for Synchronization in Industrial Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4095
Author(s):  
Mahmoud Elsharief ◽  
Mohamed A. Abd El-Gawad ◽  
Haneul Ko ◽  
Sangheon Pack
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Time Synchronization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Industrial Wireless Sensor Networks ◽  
Node Selection ◽  
Reference Node

Time synchronization is an essential issue in industrial wireless sensor networks (IWSNs). It assists perfect coordinated communications among the sensor nodes to preserve battery power. Generally, time synchronization in IWSNs has two major aspects of energy consumption and accuracy. In the literature, the energy consumption has not received much attention in contrast to the accuracy. In this paper, focusing on the energy consumption aspect, we introduce an energy-efficient reference node selection (EERS) algorithm for time synchronization in IWSNs. It selects and schedules a minimal sequence of connected reference nodes that are responsible for spreading timing messages. EERS achieves energy consumption synchronization by reducing the number of transmitted messages among the sensor nodes. To evaluate the performance of EERS, we conducted extensive experiments with Arduino Nano RF sensors and revealed that EERS achieves considerably fewer messages than previous techniques, robust time synchronization (R-Sync), fast scheduling and accurate drift compensation for time synchronization (FADS), and low power scheduling for time synchronization protocols (LPSS). In addition, simulation results for a large sensor network of 450 nodes demonstrate that EERS reduces the whole number of transmitted messages by 52%, 30%, and 13% compared to R-Sync, FADS, and LPSS, respectively.

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