DocumentCode :
481653
Title :
Adaptive Buffer Management for Efficient Code Dissemination in Multi-Application Wireless Sensor Networks
Author :
Li, Weijia ; Du, Yu ; Zhang, Youtao ; Childers, Bruce ; Zhou, Ping ; Yang, Jun
Author_Institution :
Comput. Sci. Dept., Univ. of Pittsburgh, Pittsburgh, PA
Volume :
1
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
295
Lastpage :
301
Abstract :
Future wireless sensor networks (WSNs) are projected to run multiple applications in the same network infrastructure. While such multi-application WSNs (MA-WSNs) are economically more efficient and adapt better to the changing environments than traditional single-application WSNs, they usually require frequent code redistribution on wireless sensors, making it critical to design energy efficient post-deployment code dissemination protocols in MA-WSNs. Different applications in MA-WSNs often share some common code segments. Therefore when there is a need to disseminate a new application from the sink node, it is possible to disseminate its shared code segments from peer sensors instead of disseminating everything from the sink node. While dissemination protocols have been proposed to handle code of each single type, it is challenging to achieve energy efficiency when the code contains both types and needs simultaneous dissemination. In this paper we utilize an adaptive buffer management approach to achieve efficient code dissemination in MA-WSNs. Our experimental results show that adaptive buffer management can reduce the completion time and the message overhead up to 10% and 20% respectively.
Keywords :
buffer storage; protocols; telecommunication network management; wireless sensor networks; adaptive buffer management; energy efficient post-deployment code dissemination protocol; frequent code redistribution; multiapplication wireless sensor networks; shared code segment; Animals; Computer network management; Computer networks; Energy efficiency; Monitoring; Peer to peer computing; Protocols; Switches; Ubiquitous computing; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded and Ubiquitous Computing, 2008. EUC '08. IEEE/IFIP International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3492-3
Type :
conf
DOI :
10.1109/EUC.2008.160
Filename :
4756352
Link To Document :
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