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
Extending the lifetime of wireless sensor networks through mobile relays
IEEE/ACM Transactions on Networking (TON)
Joint mobile energy replenishment and data gathering in wireless rechargeable sensor networks
Proceedings of the 23rd International Teletraffic Congress
On Optimal Scheduling in Wireless Rechargeable Sensor Networks for Stochastic Event Capture
MASS '11 Proceedings of the 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems
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
J-RoC: A Joint Routing and Charging scheme to prolong sensor network lifetime
ICNP '11 Proceedings of the 2011 19th IEEE International Conference on Network Protocols
Efficient, distributed coordination of multiple mobile chargers in sensor networks
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
Adaptive, limited knowledge wireless recharging in sensor networks
Proceedings of the 11th ACM international symposium on Mobility management and wireless access
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Through recent technology advances in the field of wireless energy transmission, Wireless Rechargeable Sensor Networks (WRSN) have emerged. In this new paradigm for WSNs a mobile entity called Mobile Charger (MC) traverses the network and replenishes the dissipated energy of sensors. In this work we first provide a formal definition of the charging dispatch decision problem and prove its computational hardness. We then investigate how to optimize the trade-offs of several critical aspects of the charging process such as a) the trajectory of the charger, b) the different charging policies and c) the impact of the ratio of the energy the MC may deliver to the sensors over the total available energy in the network. In the light of these optimizations, we then study the impact of the charging process to the network lifetime for three characteristic underlying routing protocols; a greedy protocol, a clustering protocol and an energy balancing protocol. Finally, we propose a Mobile Charging Protocol that locally adapts the circular trajectory of the MC to the energy dissipation rate of each sub-region of the network. We compare this protocol against several MC trajectories for all three routing families by a detailed experimental evaluation. The derived findings demonstrate significant performance gains, both with respect to the no charger case as well as the different charging alternatives; in particular, the performance improvements include the network lifetime, as well as connectivity, coverage and energy balance properties.