A Two-Phase Dispatch Heuristic to Schedule the Movement of Multi-Attribute Mobile Sensors in a Hybrid Wireless Sensor Network

2014 ◽  
Vol 13 (4) ◽  
pp. 709-722 ◽  
Author(s):  
You-Chiun Wang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Mobile Sensors ◽  
Wireless Sensor ◽  
Two Phase

Handling Failures of Static Sensor Nodes in Wireless Sensor Network by Use of Mobile Sensors

2011 ◽  
Author(s):  
Edison Pignaton de Freitas ◽  
Tales Heimfarth ◽  
Ivayr Farah Netto ◽  
Carlos Eduardo Pereira ◽  
Armando Morado Ferreira ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Mobile Sensors ◽  
Wireless Sensor

scholarly journals Always Best Connected Mobile Sensor Network to Support High Accuracy Internet of Farming

2017 ◽  
Vol 6 (2) ◽  
pp. 51-58
Author(s):  
Ahmed H. Alahmadi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Farming System ◽  
Mobile Node ◽  
High Accuracy ◽  
Mobile Sensors ◽  
Wireless Sensor ◽  
The Internet ◽  
Mobile Sensor Network ◽  
Always Best Connected

The Internet of Farming be dependent on data gathered from sensor of Wireless Sensor Network (WSN). The WSN requires a reliable connectivity to provide accurate prediction data of the farming system. This paper introduces a mechanism that gives always best connectivity (ABC). The mechanism considers all stakeholders (mobile node, corresponding node and users) attributes. An empirical simulation shows that the proposed mechanism provides an acceptable ABC to the mobile sensors in the WSN.

scholarly journals Optimization Schemes For Wireless Sensor Network Localization

2009 ◽  
Vol 19 (2) ◽  
pp. 291-302 ◽  
Author(s):  
Ewa Niewiadomska-Szynkiewicz ◽  
Michał Marks
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Stochastic Optimization ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Phase Method ◽  
Two Phase ◽  
Sensor Network Localization ◽  
Network Localization ◽  
Optimization Schemes

Optimization Schemes For Wireless Sensor Network LocalizationMany applications of wireless sensor networks (WSN) require information about the geographical location of each sensor node. Self-organization and localization capabilities are one of the most important requirements in sensor networks. This paper provides an overview of centralized distance-based algorithms for estimating the positions of nodes in a sensor network. We discuss and compare three approaches: semidefinite programming, simulated annealing and two-phase stochastic optimization—a hybrid scheme that we have proposed. We analyze the properties of all listed methods and report the results of numerical tests. Particular attention is paid to our technique—the two-phase method—that uses a combination of trilateration, and stochastic optimization for performing sensor localization. We describe its performance in the case of centralized and distributed implementations.

scholarly journals Wireless Charging Deployment in Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 201 ◽  
Author(s):  
Wei-Yu Lai ◽  
Tien-Ruey Hsiang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Empirical Studies ◽  
Wireless Sensor ◽  
Wireless Charging ◽  
Two Phase ◽  
Mobile Wireless ◽  
Charging Time ◽  
Time Required

Charging schemes utilizing mobile wireless chargers can be applied to prolong the lifespan of a wireless sensor network. In considering charging schemes with mobile chargers, most current studies focus on charging each sensor from a single position, then optimizing the moving paths of the chargers. However, in reality, a wireless charger may charge the same sensor from several positions in its path. In this paper we consider this fact and seek to minimize both the number of charging locations and the total required charging time. Two charging plans are developed. The first plan considers the charging time required by each sensor and greedily selects the charging service positions. The second one is a two-phase plan, where the number of charging positions is first minimized, then minimum charging times are assigned to every position according to the charging requirements of the nearby sensors. This paper also corrects a problem neglected by some studies in minimizing the number of charging service positions and further provides a corresponding solution. Empirical studies show that compared with other minimal clique partition (MCP)-based methods, the proposed charging plan may save up to 60% in terms of both the number of charging positions and the total required charging time.

A Two-Phase Lifetime-Enhancing Method for Hybrid Energy-Harvesting Wireless Sensor Network

2020 ◽  
Vol 20 (4) ◽  
pp. 1934-1946 ◽  
Author(s):  
Yonghua Xiong ◽  
Gong Chen ◽  
Manjie Lu ◽  
Xiongbo Wan ◽  
Min Wu ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Energy Harvesting ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Two Phase ◽  
Hybrid Energy ◽  
Hybrid Energy Harvesting
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