TY - GEN
T1 - SWARMS
T2 - 3rd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TridentCom 2007
AU - Gruenwald, Charles
AU - Hustvedt, Anders
AU - Beach, Aaron
AU - Han, Richard
PY - 2007
Y1 - 2007
N2 - Our experiences deploying a wide area wireless sensor network (WSN) in the wildfires of Idaho motivate the need for a software middleware system capable of remotely managing many sensor nodes deployed in widely disparate geographic regions. This requirement is unlike the localized focus of many traditional WSN middleware systems, which manage a group of sensor nodes deployed in a single small region, e.g. a warehouse or lab. We describe in this paper SWARMS, a wide area sensor network management system. The SWARMS architecture is designed for scalability and flexibility, while providing an infrastructure to manage in situ sensor nodes, e.g. upload code images, retrieve diagnostics, etc. To demonstrate its flexibility, we present two deployments of SWARMS, the first in a wide area weather sensor network, and the second in a local area testbed that was used by a class of graduate students. To demonstrate its scalability, we analyze the performance of SWARMS when the middleware is subject to sensor data loads of thousands of packets per second.
AB - Our experiences deploying a wide area wireless sensor network (WSN) in the wildfires of Idaho motivate the need for a software middleware system capable of remotely managing many sensor nodes deployed in widely disparate geographic regions. This requirement is unlike the localized focus of many traditional WSN middleware systems, which manage a group of sensor nodes deployed in a single small region, e.g. a warehouse or lab. We describe in this paper SWARMS, a wide area sensor network management system. The SWARMS architecture is designed for scalability and flexibility, while providing an infrastructure to manage in situ sensor nodes, e.g. upload code images, retrieve diagnostics, etc. To demonstrate its flexibility, we present two deployments of SWARMS, the first in a wide area weather sensor network, and the second in a local area testbed that was used by a class of graduate students. To demonstrate its scalability, we analyze the performance of SWARMS when the middleware is subject to sensor data loads of thousands of packets per second.
UR - http://www.scopus.com/inward/record.url?scp=84886461448&partnerID=8YFLogxK
U2 - 10.1109/TRIDENTCOM.2007.4444657
DO - 10.1109/TRIDENTCOM.2007.4444657
M3 - Conference proceeding contribution
SN - 1424407397
SN - 9781424407392
T3 - Proceedings of the 3rd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TridentCom 2007
BT - Proceedings of the 3rd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TridentCom 2007
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
Y2 - 21 May 2007 through 23 May 2007
ER -