Efficient wireless recharging in sensor networks

Authors: Angelopoulos, C.M., Nikoletseas, S.E. and Raptis, T.P.

http://dx.doi.org/10.1109/DCOSS.2013.10

Journal: IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2013, Cambridge, MA, USA, May 20-23, 2013

Pages: 298-300

DOI: 10.1109/DCOSS.2013.10

This data was imported from Scopus:

Authors: Angelopoulos, C.M., Nikoletseas, S. and Raptis, T.P.

Journal: Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCoSS 2013

Pages: 298-300

DOI: 10.1109/DCOSS.2013.10

We investigate the problem of efficient wireless energy recharging in Wireless Rechargeable Sensor Networks (WRSNs). In such networks a special mobile entity (called the Mobile Charger) traverses the network and wirelessly replenishes the energy of sensor nodes. In contrast to most current approaches, we envision methods that are distributed, adaptive and use limited network information. We propose three new, alternative protocols for efficient recharging, addressing key issues which we identify, most notably (i) to what extent each sensor should be recharged (ii) what is the best split of the total energy between the charger and the sensors and (iii) what are good trajectories the MC should follow. One of our protocols (LRP) performs some distributed, limited sampling of the network status, while another one (RTP) reactively adapts to energy shortage alerts judiciously spread in the network. As detailed simulations demonstrate, both protocols significantly outperform known state of the art methods, while their performance gets quite close to the performance of the global knowledge method (GKP) we also provide, especially in heterogeneous network deployments. © 2013 IEEE.

This data was imported from Web of Science (Lite):

Authors: Angelopoulos, C.M., Nikoletseas, S., Raptis, T.P. and IEEE

Journal: 2013 9TH IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (IEEE DCOSS 2013)

Pages: 298-300

DOI: 10.1109/DCOSS.2013.10

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