Imperial College London

ProfessorMorrisSloman

Faculty of EngineeringDepartment of Computing

Emeritus Professor of Distributed Systems Management
 
 
 
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Contact

 

m.sloman Website

 
 
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Location

 

Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zhu:2009:10.1109/TNSM.2009.03.090301,
author = {Zhu, Y and Keoh, S and Sloman, M and Lupu, EC},
doi = {10.1109/TNSM.2009.03.090301},
journal = {IEEE Transactions on Network and Service Management},
pages = {137--148},
title = {A Lightweight Policy System for Body Sensor Networks},
url = {http://dx.doi.org/10.1109/TNSM.2009.03.090301},
volume = {6},
year = {2009}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Body sensor networks (BSNs) for healthcare have more stringent security and context adaptation requirements than required in large-scale sensor networks for environment monitoring. Policy-based management enables flexible adaptive behavior by supporting dynamic loading, enabling and disabling of policies without shutting down nodes. This overcomes many of the limitations of sensor operating systems, such as TinyOS, which do not support dynamic modification of code. Alterna- tive schemes for adaptation, such as network programming, have a high communication cost and suffer from operational interruption. In addition, a policy-driven approach enables fine- grained access control through specifying authorization policies. This paper presents the design, implementation and evaluation of an efficient policy system called Finger which enables policy interpretation and enforcement on distributed sensors to support sensor level adaptation and fine-grained access control. It features support for dynamic management of policies, minimization of resources usage, high responsiveness and node autonomy. The policy system is integrated as a TinyOS component, exposing simple, well-defined interfaces which can easily be used by application developers. The system performance in terms of processing latency and resource usage is evaluated.
AU - Zhu,Y
AU - Keoh,S
AU - Sloman,M
AU - Lupu,EC
DO - 10.1109/TNSM.2009.03.090301
EP - 148
PY - 2009///
SN - 1932-4537
SP - 137
TI - A Lightweight Policy System for Body Sensor Networks
T2 - IEEE Transactions on Network and Service Management
UR - http://dx.doi.org/10.1109/TNSM.2009.03.090301
UR - http://dl.dropbox.com/u/1002205/final3.pdf
UR - http://hdl.handle.net/10044/1/5628
VL - 6
ER -