DocumentCode :
2304976
Title :
Energy Driven Choice of Error Recovery Protocols in Embedded Sensor Network Systems
Author :
Agarwal, Rachit ; Popovici, Emanuel ; De Feo, O. ; O´Flynn, Brendan
Author_Institution :
Univ. Coll. Cork, Cork
fYear :
2007
fDate :
14-20 Oct. 2007
Firstpage :
560
Lastpage :
565
Abstract :
The transmission efficiency of embedded sensor networks (ESN) is lower than that of conventional networks due to high bit error rates and inconsistent channel conditions. Transmission efficiency as low as 47% has been experienced in deployments for various applications. Transmission errors in ESN can be recovered using three basic methods, automatic repeat request, error control coding or hybrid ARQ. This paper presents insights into the choice of error recovery protocols guided by the energy constraints imposed by ESN. We classify the ESN applications into three major classes, which significantly simplifies the choice. Further, we develop an energy model to incorporate the three schemes and draw inferences on the choice based on expected channel conditions and ESN classification. We apply the energy driven choice to two case studies, demonstrating the simplified process of choosing error recovery protocols.
Keywords :
automatic repeat request; channel coding; error correction codes; error statistics; intelligent sensors; wireless sensor networks; automatic repeat request; bit error rates; channel conditions; embedded sensor network systems; error control coding; error recovery protocols; hybrid ARQ; Automatic repeat request; Educational institutions; Energy consumption; Error correction; Information processing; Microelectronics; Power engineering and energy; Protocols; Sensor systems; Sensor systems and applications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Technologies and Applications, 2007. SensorComm 2007. International Conference on
Conference_Location :
Valencia
Print_ISBN :
978-0-7695-2988-2
Type :
conf
DOI :
10.1109/SENSORCOMM.2007.4394979
Filename :
4394979
Link To Document :
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