Call and response: experiments in sampling the environment
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
An analysis of a large scale habitat monitoring application
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
RTSS '04 Proceedings of the 25th IEEE International Real-Time Systems Symposium
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
ExScal: Elements of an Extreme Scale Wireless Sensor Network
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Heuristics for lifetime maximization in wireless sensor networks with multiple mobile sinks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
IEEE Transactions on Wireless Communications
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Traditional deployments of wireless sensor networks (WSNs) rely on static basestations to collect data. For applications with highly spatio-temporal and dynamic data generation, such as tracking and detection applications, static basestations suffer from communication bottlenecks and long routes, which cause reliability and lifetime to plummet. To address this problem, we propose a holistic solution where the synergy of the WSN and the mobile basestation improves the reliability and lifetime of data collection. The WSN component of our solution is a lightweight dynamic routing tree maintenance protocol which tracks the location of the basestation to provide an always connected network. The mobile basestation component of our solution complements the dynamic tree reconfiguration protocol by trailing towards the data generation, and hence, reducing the number of hops the data needs to travel to the basestation. While both protocols are simple and lightweight, combined they lead to significant improvements in the reliability and lifetime of data collection. We provide an analytical discussion of our solution along with extensive simulations.