scholarly journals On the Trade-off between Power Consumption and Time Synchronization Quality for Moving Targets under Large-Scale Fading Effects in Wireless Sensor Networks

2013 ◽  
Vol 05 (03) ◽  
pp. 498-503 ◽  
Author(s):  
Pablo Briff ◽  
Leonardo Rey Vega ◽  
Ariel Lutenberg ◽  
Fabian Vargas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Large Scale ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Moving Targets ◽  
Trade Off

scholarly journals Connectivity, coverage and power consumption in large-scale wireless sensor networks

2014 ◽  
Vol 75 ◽  
pp. 212-225 ◽  
Author(s):  
Hui Wang ◽  
H. Eduardo Roman ◽  
Liyong Yuan ◽  
Yongfeng Huang ◽  
Rongli Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Large Scale ◽  
Wireless Sensor

Snowball Effect Time Synchronization Based on Energy Optimization for Wireless Sensor Networks

2012 ◽  
Vol 263-266 ◽  
pp. 866-871
Author(s):  
Gang Yang ◽  
Ming Fei Liang ◽  
Tian Tian Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Large Scale ◽  
Time Synchronization ◽  
Energy Optimization ◽  
Wireless Sensor ◽  
Synchronization Algorithm ◽  
Message Exchange ◽  
Effect Time ◽  
Snowball Effect

In large scale of WSNs (wireless sensor networks), a centralized algorithm is not suitable for WSNs. Distributed algorithm has the obvious advantage over traditional time synchronization algorithm. The paper proposes a distributed time synchronization algorithm for WSNs, called SNOWBALL effect time synchronization. In the algorithm, a node needs only to communicate with its neighbor node, synchronizing itself clock based on the neighbor nodes information. The algorithm is a continuous synchronization process. The network will reach balance and clock consistency after repeated algorithm iterations. In the algorithm, we achieve network energy optimization by reducing unnecessary message exchange.

scholarly journals A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4293
Author(s):  
Junhai Luo ◽  
Yang Yang ◽  
Zhiyan Wang ◽  
Yanping Chen ◽  
Man Wu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Node ◽  
Large Scale ◽  
Time Synchronization ◽  
Three Dimensional ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Underwater Environment ◽  
Localization Scheme

As one of the important facilities for marine exploration, as well as environment monitoring, access control, and security, underwater wireless sensor networks (UWSNs) are widely used in related military and civil fields, since the sensor node localization is the basis of UWSNs’ application in various related fields. Therefore, the research of localization algorithms based on UWSNs has gradually become one of the research hotspots today. However, unlike terrestrial wireless sensor networks (WSNs), many terrestrial monitoring and localization technologies cannot be directly applied to the underwater environment. Moreover, due to the complexity and particularity of the underwater environment, the localization of underwater sensor nodes still faces challenges, such as the localization ratio of sensor nodes, time synchronization, localization accuracy, and the mobility of nodes. In this paper, we propose a mobility-assisted localization scheme with time synchronization-free feature (MALS-TSF) for three-dimensional (3D) large-scale UWSNs. In addition, the underwater drift of the sensor node is considered in this scheme. The localization scheme can be divided into two phases. In Phase I, anchor nodes are distributed in the monitoring area, reducing the monitoring cost. Then, we address a time-synchronization-free localization scheme, to obtain the coordinates of the unknown sensor nodes. In Phase II, we use the method of two-way TOA to locate the remaining ordinary sensor nodes. The simulation results show that MALS-TSF can achieve a relatively high localization ratio without time synchronization.

Long term and large scale time synchronization in wireless sensor networks

2014 ◽  
Vol 37 ◽  
pp. 77-91 ◽  
Author(s):  
Ge Huang ◽  
Albert Y. Zomaya ◽  
Flávia C. Delicato ◽  
Paulo F. Pires
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Large Scale ◽  
Time Synchronization ◽  
Wireless Sensor

Rapid-Flooding Time Synchronization for Large-Scale Wireless Sensor Networks

2020 ◽  
Vol 16 (3) ◽  
pp. 1581-1590 ◽  
Author(s):  
Fanrong Shi ◽  
Xianguo Tuo ◽  
Simon X. Yang ◽  
Jing Lu ◽  
Huailiang Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Large Scale ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Flooding Time
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