DocumentCode
1647814
Title
Peer-to-peer Wireless Sensor Network Data Acquisition System with Pipelined Time Division Scheduling
Author
Sastry, C. ; Chi Ma ; Loiacono, M. ; Tas, N. ; Zahorcak, V.
Author_Institution
Siemens Corp. Res., Princeton
fYear
2006
Firstpage
1
Lastpage
4
Abstract
this paper, we introduce a peer-to-peer sensor network (P2PWSNDAS) architecture with pipelined time division scheduling for sensor data acquisition from an ad hoc wireless sensor network (WSN). P2PWSNDAS takes a service-oriented, data-centric view of the deployed WSN. The wireless sensors that constitute the WSN measure physical attributes of the environment they are deployed in such as temperature, pressure, vibration, toxic chemical, biological agents, etc. In our architecture, we assume that the entire WSN can be divided into sets of ´sensor-clusters´. Each cluster has a gateway or base station that aggregates data from its sensor cluster. The gateways themselves which constitute the middleware layer between the WSN and end point clients are designed to form an IP-based distributed peer-to-peer (P2P) overlay network. Clients query the gateways for real-time sensor data via a publish/subscribe/notify paradigm implemented at the gateways, and they can also concurrently receive notifications on alarms/events of interest. Another contribution we report in this paper is a Pipelined Time- division Model (PTM) scheduling for continuous energy-aware MAC-layer communication between a gateway and its sensors. Our PTM scheduling algorithm is particularly targeted towards wireless sensors such as the MICA2 series [4] that have multichannel radio transceivers.
Keywords
data acquisition; peer-to-peer computing; time division multiple access; wireless sensor networks; IP-based distributed peer-to-peer overlay network; data acquisition system; middleware layer; multichannel radio transceivers; peer-to-peer wireless sensor network; pipelined time division scheduling; sensor cluster; Biosensors; Chemical and biological sensors; Data acquisition; Peer to peer computing; Pressure measurement; Sensor phenomena and characterization; Temperature sensors; Toxic chemicals; Vibration measurement; Wireless sensor networks; Data Acquisition System (DAS); Energy efficient; Peer-to-Peer (P2P); Peer-to-Peer Wireless Sensor Network Data Acquisition System (P2PWSNDAS); Time division multiple access (TDMA); Wireless Sensor Network (WSN);
fLanguage
English
Publisher
ieee
Conference_Titel
Sarnoff Symposium, 2006 IEEE
Conference_Location
Princeton, NJ
Print_ISBN
978-1-4244-0002-7
Type
conf
DOI
10.1109/SARNOF.2006.4534722
Filename
4534722
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