Imperial College London
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ProfessorJulieMcCann

Faculty of Engineering, Department of Computing

Vice-Dean (Research) for the Faculty of Engineering
 
 
 
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Contact

 

+44 (0)20 7594 8375j.mccann Website

 
 
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Assistant

 

Miss Teresa Ng +44 (0)20 7594 8300

 
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Location

 

260ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Wu:2017:10.1109/TC.2016.2584061,
author = {Wu, D and Arkhipov, DI and Kim, M and Talcott, CL and Regan, AC and McCann, JA and Venkatasubramanian, N},
doi = {10.1109/TC.2016.2584061},
journal = {IEEE Transactions on Computers},
pages = {183--198},
title = {ADDSEN: adaptive data processing and dissemination for drone swarms in urban sensing},
url = {http://dx.doi.org/10.1109/TC.2016.2584061},
volume = {66},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We present ADDSEN middleware as a holistic solution for Adaptive Data processing and dissemination for Drone swarms in urban SENsing. To efficiently process sensed data in the middleware, we have proposed a cyber-physical sensing framework using partially ordered knowledge sharing for distributed knowledge management in drone swarms. A reinforcement learning dissemination strategy is implemented in the framework. ADDSEN uses online learning techniques to adaptively balance the broadcast rate and knowledge loss rate periodically. The learned broadcast rate is adapted by executing state transitions during the process of online learning. A strategy function guides state transitions, incorporating a set of variables to reflect changes in link status. In addition, we design a cooperative dissemination method for the task of balancing storage and energy allocation in drone swarms. We implemented ADDSEN in our cyber-physical sensing framework, and evaluation results show that it can achieve both maximal adaptive data processing and dissemination performance, presenting better results than other commonly used dissemination protocols such as periodic, uniform and neighbor protocols in both single-swarm and multi-swarm cases.
AU  - Wu,D
AU  - Arkhipov,DI
AU  - Kim,M
AU  - Talcott,CL
AU  - Regan,AC
AU  - McCann,JA
AU  - Venkatasubramanian,N
DO  - 10.1109/TC.2016.2584061
EP  - 198
PY  - 2017///
SN  - 0018-9340
SP  - 183
TI  - ADDSEN: adaptive data processing and dissemination for drone swarms in urban sensing
T2  - IEEE Transactions on Computers
UR  - http://dx.doi.org/10.1109/TC.2016.2584061
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000394171000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/49363
VL  - 66
ER  -
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