Smart dust protocols for local detection and propagation
Proceedings of the second ACM international workshop on Principles of mobile computing
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Energy balanced data propagation in wireless sensor networks
Wireless Networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Prolonging Sensor Network Lifetime Through Wireless Charging
RTSS '10 Proceedings of the 2010 31st IEEE Real-Time Systems Symposium
An optimal data propagation algorithm for maximizing the lifespan of sensor networks
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
Efficient energy management in wireless rechargeable sensor networks
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Multi-vehicle Coordination for Wireless Energy Replenishment in Sensor Networks
IPDPS '13 Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing
| Hi-index | 0.00 |
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.