Award Abstract # 1066391
CAREER: Collaborative Communication and Storage for Sensor Networks in Challenging Environments

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: GEORGIA STATE UNIVERSITY RESEARCH FOUNDATION INC
Initial Amendment Date: September 30, 2010
Latest Amendment Date: April 29, 2014
Award Number: 1066391
Award Instrument: Continuing Grant
Program Manager: Thyagarajan Nandagopal
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: August 23, 2010
End Date: May 31, 2016 (Estimated)
Total Intended Award Amount: $398,893.00
Total Awarded Amount to Date: $398,893.00
Funds Obligated to Date: FY 2010 = $67,532.00
FY 2011 = $94,782.00

FY 2012 = $98,093.00

FY 2013 = $68,121.00

FY 2014 = $70,365.00
History of Investigator:
  • WenZhan Song (Principal Investigator)
    wsong@uga.edu
Recipient Sponsored Research Office: Georgia State University Research Foundation, Inc.
58 EDGEWOOD AVE NE
ATLANTA
GA  US  30303-2921
(404)413-3570
Sponsor Congressional District: 05
Primary Place of Performance: Georgia State University
33 GILMER ST SE
ATLANTA
GA  US  30303-3044
Primary Place of Performance
Congressional District:
05
Unique Entity Identifier (UEI): MNS7B9CVKDN7
Parent UEI:
NSF Program(s): Networking Technology and Syst
Primary Program Source: 01001011DB NSF RESEARCH & RELATED ACTIVIT
01001112DB NSF RESEARCH & RELATED ACTIVIT

01001213DB NSF RESEARCH & RELATED ACTIVIT

01001314DB NSF RESEARCH & RELATED ACTIVIT

01001415DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1045, 9218, 1187
Program Element Code(s): 736300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

CAREER: Collaborative Communication and Storage for Sensor Networks in
Challenging Environments

NSF Proposal ID: 0953067
PI: WenZhan Song

This project concerns the sustainability and reliability of sensor networks in challenging (e.g., extreme) environments. In a challenged sensor network, a predictable and stable path may never exist, the network connectivity is intermittent, and a node could suddenly appear or disappear. The rare upload opportunity and unpredictable node disruptions often result in data loss. The unpredictable network disruptions make the traditional communication protocols inefficient and require a new design paradigm to combat network disruptions and maintain reliable operations. The driven research idea of this project is collaborative communication and storage - an integrated approach which cooperatively configures resources to increase disruption resilience, data persistence and network lifetime, and capture the fluctuating connectivity for data delivery. The expected outcomes of this project are (1) the innovative architecture principles, algorithms and protocols, design and evaluation methodologies for sensor networks in challenging environments, (2) the design and implementation of an integrated collaborative communication and storage middleware, and the running prototype sensor network systems in relevant environments, and (3) the curriculum and test bed enhancement for undergraduate and graduate research and courses, and educational outreach activities to K-12 students, minority groups and local communities. This project will greatly promote the confident use of sensor networks in challenging environments and enable new applications and economics. The outcomes of this project will be broadly disseminated to academic and industrial communities through international conferences, journals, media and intra-disciplinary and inter-disciplinary collaborations.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Mingsen Xu, Wen-Zhan Song, and Yichuan Zhao "Opportunistic network erasure coding for collaborative data collection in disruptive sensor networks" IEEE Transactions on Parallel and Distributed Systems (TPDS) , v.12 , 2012 , p.10
Renjie Huang, Wen-Zhan Song, Mingsen Xu, Behrooz Shirazi, and Guoliang Xing "Localized QoS-Aware MAC Protocol for Real-time Dynamic Sensor Networks" Ad hoc & Sensor Wireless Networks , v.13 , 2011
Renjie Huang, Wen-Zhan Song, Mingsen Xu, Nina Picone, Behrooz Shirazi, Richard LaHusen "Real-World Sensor Network for Long-Term Volcano Monitoring: Design and Findings" IEEE Transaction on Parallel and Distributed Systems (IEEE TPDS) , v.23 , 2012
Wen-Zhan Song, Mingsen Xu, Debraj De, and Deukhyoun Heo "ECPC: Towards Preserving Downtime Data Persistence in Disruptive Wireless Sensor Networks" ACM Transaction on Sensor Networks (ACM TOSN) , v.11 , 2015 , p.24 1550-4859

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

This NSF CAREER project concerns the sustainability and reliability of sensor networks in challenging environments. In a challenged sensor network, a predictable and stable path may never exist, the network connectivity is intermittent, and a node could suddenly appear or disappear. The rare upload opportunity and unpredictable node disruptions often result in data loss. The unpredictable network disruptions make the traditional communication protocols inefficient and require a new design paradigm to combat network disruptions and maintain reliable operations. The driven research idea of this project is collaborative computing, communication and storage - an integrated middleware cooperatively configures resources to increase disruption resilience, data persistence and network lifetime, and capture the fluctuating connectivity for data delivery. The middleware has three components. The Collaborative Topology Control middleware systematically adjusts radio configurations to combat network disruptions, increase network reliability and disruption resilience, and prolong network lifetime in challenging environments. The Collaborative Data Delivery middleware integrates collaborative routing, forwarding and network erasure coding protocols to capture the intermittent connectivity for disruption-resilient data delivery. The Collaborative Storage Management middleware collaboratively utilizes network storages to increase data persistence, so that the data more likely survives and eventually reaches a data sink, even as nodes fail. It greatly promotes the confident use of sensor networks in challenging environments and enable new applications and economics.

In this project, two PhD students were trained and graduated and a dozen of master, undergraduate and high school students have participated to learn and grow. The research has also resulted in five journal articles and ten conference papers, all in peer-reviewed competitive venue. The research results and testbed have also been incorporated into the teaching materials of course CSc4220/6220 Computer Networks, CSc8251 Sensor Web Architectures and Protocols.


Last Modified: 06/17/2016
Modified by: Wenzhan Song