TY - GEN
T1 - Lynx
T2 - ACM/IEEE International Workshop on System Level Interconnect Prediction, SLIP 2015
AU - Xu, Haifeng
AU - Bilec, Melissa M.
AU - Collinge, William O.
AU - Schaefer, Laura A.
AU - Landis, Amy E.
AU - Jones, Alex K.
N1 - Publisher Copyright:
Copyright © 2015 by the Institute of Electrical and Electronics Engineers, Inc.
PY - 2015/7/28
Y1 - 2015/7/28
N2 - While the embedded class processors found in commodity palmtop computers continue to become increasingly capable, various wireless connectivity functions on them provide new opportunities in designing more flexible yet smarter wireless sensor networks (WSNs), and utilizing the computation power in a way we could never imagine before. Designing Lynx, a selforganizing wireless sensor network (SOWSN), is our further step taken in exploiting the potential of palmtop computers. Fundamental functionalities such as automatic neighbor relation detection, link state maintenance, sensor integration, and multihop routing, together make a real world distributively managed WSN system implementation work quite well. And by combining with Ocelot, our mobile distributed computing engine, sensor nodes are now capable of collecting, recording, processing and sending data without any central server support. Significant energy saving is achieved by the Lynx and Ocelot combined system, compare to traditional power-hungry computer platforms such as BOINC when doing same tasks.
AB - While the embedded class processors found in commodity palmtop computers continue to become increasingly capable, various wireless connectivity functions on them provide new opportunities in designing more flexible yet smarter wireless sensor networks (WSNs), and utilizing the computation power in a way we could never imagine before. Designing Lynx, a selforganizing wireless sensor network (SOWSN), is our further step taken in exploiting the potential of palmtop computers. Fundamental functionalities such as automatic neighbor relation detection, link state maintenance, sensor integration, and multihop routing, together make a real world distributively managed WSN system implementation work quite well. And by combining with Ocelot, our mobile distributed computing engine, sensor nodes are now capable of collecting, recording, processing and sending data without any central server support. Significant energy saving is achieved by the Lynx and Ocelot combined system, compare to traditional power-hungry computer platforms such as BOINC when doing same tasks.
KW - Distributed computing
KW - Multi-hop routing
KW - Palmtop computers
KW - Self-organizing network
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=84944704092&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84944704092&partnerID=8YFLogxK
U2 - 10.1109/SLIP.2015.7171712
DO - 10.1109/SLIP.2015.7171712
M3 - Conference contribution
AN - SCOPUS:84944704092
T3 - International Workshop on System Level Interconnect Prediction, SLIP
BT - 2015 ACM/IEEE International Workshop on System Level Interconnect Prediction, SLIP 2015
PB - Association for Computing Machinery
Y2 - 6 June 2015
ER -