Mobile Element Scheduling with Dynamic Deadlines
IEEE Transactions on Mobile Computing
mWSN for Large Scale Mobile Sensing
Journal of Signal Processing Systems
Efficient routing to mobile sinks in wireless sensor networks
WICON '07 Proceedings of the 3rd international conference on Wireless internet
BoSS: a moving strategy for mobile sinks in wireless sensor networks
International Journal of Sensor Networks
IEEE/ACM Transactions on Networking (TON)
A mobility management framework for optimizing the trajectory of a mobile base-station
EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey
ACM Transactions on Sensor Networks (TOSN)
A framework for Resource-Aware Data Accumulation in sparse wireless sensor networks
Computer Communications
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Energy efficiency mechanism using mobile-based Fermat's spiral in WSN
ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
Journal of Network and Computer Applications
MobiRoute: routing towards a mobile sink for improving lifetime in sensor networks
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
Virtual sink rotation: low-energy scalable routing protocol for ubiquitous sensor networks
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
An adaptive strategy for energy-efficient data collection in sparse wireless sensor networks
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Data rate adaptive route optimization for sink mobility support in wireless sensor networks
ICDCIT'06 Proceedings of the Third international conference on Distributed Computing and Internet Technology
UAV fleet area coverage with network connectivity constraint
Proceedings of the 11th ACM international symposium on Mobility management and wireless access
Hi-index | 0.00 |
We propose a learning-based approach to efficiently and reliably route data to a mobile sink in a wireless sensor field. Specifically, we consider a mobile sink that does not know when to query or does not need to query. Furthermore, the sink moves in a certain pattern within the sensor field. Such a sink passively listens for incoming data that distant source sensors unilaterally push towards it. Unlike traditional routing mechanisms, our technique takes the time-domain explicitly into account, with each node involved making the decision "at this time what is the best way to forward the packet to the sink?". In the presented scheme, moles (nodes in the vicinity of the sink) learn its movement pattern over time and statistically characterize it as a probability distribution function. Having obtained this information at the moles, our scheme uses reinforcement learning to locate the sink efficiently at any point of time.