A mobility management framework for optimizing the trajectory of a mobile base-station

Authors:
Madhu Mudigonda;Trisul Kanipakam;Adam Dutko;Manohar Bathula;Nigamanth Sridhar;Srinivasan Seetharaman;Jason O. Hallstrom
Affiliations:
Electrical & Computer Engineering, Cleveland State University, OH;Electrical & Computer Engineering, Cleveland State University, OH;Electrical & Computer Engineering, Cleveland State University, OH;Electrical & Computer Engineering, Cleveland State University, OH;Electrical & Computer Engineering, Cleveland State University, OH;Deutsche Telekom Labs, Germany;School of Computing, Clemson University, SC
Venue:
EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
Year:
2011

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Abstract

We describe a software framework for prescribing the trajectory path of a mobile sink in a wireless sensor network under an extensible set of optimization criteria. The framework relies on an integrated mobility manager that continuously advises the sink using application-specific network statistics. We focus on a reference implementation for TinyOS. Through extensive physical experimentation, we show that the mobility manager significantly improves network performance under a range of optimization scenarios.