scholarly journals Radio Frequency Based Wireless Charging for Unsupervised Clustered WSN: System Implementation and Experimental Evaluation

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1829
Author(s):  
Ala’ Khalifeh ◽  
Mai Saadeh ◽  
Khalid A. Darabkh ◽  
Prabagarane Nagaradjane
Keyword(s):  
Theoretical Study ◽  
Cluster Head ◽  
Research Community ◽  
Wireless Sensor ◽  
Wireless Charging ◽  
Unmanned Ground Vehicle ◽  
Close Match ◽  
Ground Vehicle ◽  
Charging Station ◽  
Academic Communities

Wireless Charging (WC) is a promising technology that has recently attracted the research community and several companies. WC has a myriad of advantages and diverse applications especially in the emerging Internet of Things (IoT) and Wireless Sensor Networks (WSNs), where energy harvesting and conservation are very crucial to prolonging network lifetime. Several companies have launched WC products and solutions and made them available to the end-users. This paper provides experimental and practical insights about this technology utilizing off-the-shelf (commercially available) products provided by Powercast Inc.; a pioneering company that has made their wireless charging kits and solutions available to the research and academic communities. In addition, a theoretical study of this technology is presented, where a close match between the theoretical and practical results is demonstrated. This will in turn assist the learners and technology adopters to better understand the technology and adopt it in various application scenarios. Furthermore, the paper presents the potential of using WC in unsupervised clustered WSN, where the Cluster Head (CH) node is proposed to be a mobile Unmanned Ground Vehicle (UGV) equipped with a wireless charging station. The UGV position is chosen to be in the centroid of the cluster in order to ensure that wireless charging takes place in the context of the cluster nodes efficiently.

scholarly journals Unmanned Ground Vehicle for Data Collection in Wireless Sensor Networks: Mobility-aware Sink Selection

2016 ◽  
Vol 8 (1) ◽  
pp. 35-46 ◽  
Author(s):  
Omar Aldabbas ◽  
Abdelrahman Abuarqoub ◽  
Mohammad Hammoudeh ◽  
Umar Raza ◽  
Ahcène Bounceur
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Wireless Sensor ◽  
Unmanned Ground Vehicle ◽  
Ground Vehicle

scholarly journals Energy-Efficient Control for an Unmanned Ground Vehicle in a Wireless Sensor Network

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
José Alcaina ◽  
Ángel Cuenca ◽  
Julián Salt ◽  
Minghui Zheng ◽  
Masayoshi Tomizuka
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Time Varying ◽  
Unmanned Ground Vehicle ◽  
Control Solution ◽  
Ground Vehicle ◽  
Control Packet ◽  
Efficient Control

In this paper, an energy-efficient control solution for an Unmanned Ground Vehicle (UGV) in a Wireless Sensor Network is proposed. This novel control approach integrates periodic event-triggered control, packet-based control, time-varying dual-rate Kalman filter-based prediction techniques, and dual-rate control. The systematic combination of these control techniques allows the UGV to track the desired path preserving performance properties, despite (i) existing scarce data due to the reduced usage of the wireless sensor device, which results in less number of transmissions through the network and, hence, bandwidth and battery saving; (ii) appearance of some wireless communication problems such as time-varying delays, packet dropouts, and packet disorder; and (iii) coping with a realistic scenario where external disturbance and sensor noise can arise. The main benefits of the control solution are illustrated via simulation.

Energy Efficiency Analysis in ERA using NFL-BA Algorithm

2020 ◽  
pp. 340-348
Author(s):  
Palky Mehta ◽  
H. L. Sharma
Keyword(s):  
Cluster Head ◽  
Vital Role ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Cluster Heads ◽  
Comparison Results ◽  
Current Scenario ◽  
Energy Efficiency Analysis ◽  
Selection Of

In the current scenario of Wireless Sensor Network (WSN), power consumption is the major issue associated with nodes in WSN. LEACH technique plays a vital role of clustering in WSN and reduces the energy usage effectively. But LEACH has its own limitation in order to search cluster head nodes which are randomly distributed over the network. In this paper, ERA-NFL- BA algorithm is being proposed for selects the cluster heads in WSN. This algorithm help in selection of cluster heads can freely transform from global search to local search. At the end, a comparison has been done with earlier researcher using protocol ERA-NFL, which clearly shown that proposed Algorithm is best suited and from comparison results that ERA-NFL-BA has given better performance.

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