A Safe Charging Algorithm Based on Multiple Mobile Chargers

A safe charging algorithm in wireless rechargeable sensor network ensures the charging efficiency and the electromagnetic radiation below the threshold. Compared with the current charging algorithms, the safe charging algorithm is more complicated due to the radiation constraint and the mobility of the chargers. A safe charging algorithm based on multiple mobile chargers is proposed in this paper to charge the sensor nodes with mobile chargers, in order to ensure the premise of radiation safety, multiple mobile chargers can effectively complete the network charging task. Firstly, this algorithm narrows the possible location of the sensor nodes by utilizing the charging time and antenna waveform. Secondly, the performance of non-partition charging algorithm which algorithm allow chargers to charge different sensors sets in a different cycle is evaluated against the one of partition charging which does not allow for charging different ones. The moving distance of the charger node will be reduced by 18%. It not only improves the safety level which is inversely proportional to electromagnetic radiation but also expands the application scope of the wireless sensor nodes.

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Characterization and Modeling of Received Signal Strength and Charging Time for Wireless Energy Transfer

Advances in Electrical Engineering ◽

10.1155/2015/621306 ◽

2015 ◽

Vol 2015 ◽

pp. 1-15 ◽

Cited By ~ 1

Author(s):

Uthman Baroudi ◽

Amin-ud-din Qureshi ◽

Samir Mekid

Keyword(s):

Wireless Sensor Networks ◽

Energy Transfer ◽

Sensor Networks ◽

Signal Strength ◽

Sensor Nodes ◽

Wireless Sensor ◽

Wireless Energy Transfer ◽

Wireless Sensor Nodes ◽

Charging Time ◽

Indoor And Outdoor

Wireless sensor networks can provide effective means for monitoring and controlling a wide range of applications. Recently, tremendous effort was directed towards devising sensors powered from ambient sources such as heat, wind, and vibration. Wireless energy transfer is another source that has attractive features that make it a promising candidate for supplying power to wireless sensor nodes. This paper is concerned with characterizing and modeling the charging time and received signal strength indicator for wireless energy transfer system. These parameters play a vital role in deciding the geometry of sensor network and the routing protocols to be deployed. The development of communication protocols for wireless-powered wireless sensor networks is also improved with the knowledge of such models. These two quantities were computed from data acquired at various coordinates of the harvester relative to a fixed position of RF energy source. Data was acquired for indoor and outdoor scenarios using the commercially available PowerCast energy harvester and evaluation board. Mathematical models for both indoor and outdoor environments were developed and analyzed. A few guidelines on how to use these models were suggested. Finally, the possibility of harvesting the energy from the ambient RF power to energize wireless sensor nodes was also investigated.

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Wireless Rechargeable Vehicle Based Energy Efficienct Data Transmisison In Wireless Sensor Network

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.f1367.0986s319 ◽

2019 ◽

Vol 8 (6S3) ◽

pp. 1914-1917

Keyword(s):

Energy Transfer ◽

Wireless Sensor Network ◽

Sensor Network ◽

Sensor Nodes ◽

Wireless Sensor ◽

Wireless Energy Transfer ◽

Wireless Sensor Nodes ◽

Process Duration ◽

Remote Sensor ◽

Charging Efficiency

Wireless Energy Transfer technique has attracted increasing attention on authorizing the wireless sensor nodes in recent years. In this paper, we consider a remote battery-powered system where a portable charging vehicle is planned to accuse remote sensor system of hubs' arrangement confinements that may result in less charging efficiency for sensor hubs by charging vehicle. In our method, we used a charging vehicle to charge the nodes whenever needed. Instinctively, there is an unavoidable compromise between the charging distance and the vehicle. For these worries, we go for diminishing the reviving process duration, which contains the voyaging time and energizing time. To this end, we demonstrate that the charging vehicle would go along the briefest way directing. Also, we indicate ideal charging area for every remote charging occurrence.

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