DocumentCode :
2667680
Title :
Stream: Low Overhead Wireless Reprogramming for Sensor Networks
Author :
Panta, Rajesh Krishna ; Khalil, Issa ; Bagchi, Saurabh
Author_Institution :
Purdue Univ., Lafayette
fYear :
2007
fDate :
6-12 May 2007
Firstpage :
928
Lastpage :
936
Abstract :
Wireless reprogramming of a sensor network is useful for uploading new code or for changing the functionality of existing code. Through the process, a node should remain receptive to future code updates because reprogramming may be done multiple times during the node´s lifetime. Existing reprogramming protocols, such as Deluge, achieve this by bundling the reprogramming protocol and the application as one program image, thereby increasing the overall size of the image which is transferred through the network. This increases both time and energy required for network reprogramming. We present a protocol called Stream that mitigates the problem by significantly reducing the size of the program image. Using the facility of having multiple code images on a node and switching between them, Stream pre-installs the reprogramming protocol as one image and the application program equipped with the ability to listen to new code updates as the second image. For a sample application, Stream reduces the size of the program image by 10 pages (48 packets/page) compared to Deluge. Stream is implemented on the Mica2 nodes and we conduct testbed and simulation experiments to show the reduction in energy and reprogramming time of Stream compared to Deluge.
Keywords :
protocols; wireless sensor networks; Deluge protocol; Mica2 sensor node; Stream protocol; wireless sensor network reprogramming protocol; Communications Society; Computer networks; Costs; Degradation; Peer to peer computing; Sensor systems; Streaming media; Testing; Wireless application protocol; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE
Conference_Location :
Anchorage, AK
ISSN :
0743-166X
Print_ISBN :
1-4244-1047-9
Type :
conf
DOI :
10.1109/INFCOM.2007.113
Filename :
4215695
Link To Document :
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