Impact of Radio Irregularity on Wireless Sensor Networks

Impact of Radio Irregularity on Wireless Sensor Networks (2004)

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by Gang Zhou , Tian He , Sudha Krishnamurthy , John A. Stankovic

Venue:	in MobiSYS ’04: Proceedings of the 2nd international conference on Mobile systems, applications, and services
Citations:	123 - 15 self

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Datum	Value	Source
TITLE	Impact of Radio Irregularity on Wireless Sensor Networks	INFERENCE
AUTHOR NAME	Gang Zhou	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Computer Science; University of Virginia, Charlottesville	SVM HeaderParse 0.2
AUTHOR ADDR	VA 22903	SVM HeaderParse 0.2
AUTHOR NAME	Tian He	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Computer Science; University of Virginia, Charlottesville	SVM HeaderParse 0.2
AUTHOR ADDR	VA 22903	SVM HeaderParse 0.2
AUTHOR NAME	Sudha Krishnamurthy	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Computer Science; University of Virginia, Charlottesville	SVM HeaderParse 0.2
AUTHOR ADDR	VA 22903	SVM HeaderParse 0.2
AUTHOR NAME	John A. Stankovic	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Computer Science; University of Virginia, Charlottesville	SVM HeaderParse 0.2
AUTHOR ADDR	VA 22903	SVM HeaderParse 0.2
ABSTRACT	In this paper, we investigate the impact of radio irregularity on the communication performance in wireless sensor networks. Radio irregularity is a common phenomenon which arises from multiple factors, such as variance in RF sending power and different path losses depending on the direction of propagation. From our experiments, we discover that the variance in received signal strength is largely random; however, it exhibits a continuous change with incremental changes in direction. With empirical data obtained from the MICA2 platform, we establish a radio model for simulation, called the Radio Irregularity Model (RIM). This model is the first to bridge the discrepancy between spherical radio models used by simulators and the physical reality of radio signals. With this model, we are able to analyze the impact of radio irregularity on some of the well-known MAC and routing protocols. Our results show that radio irregularity has a significant impact on routing protocols, but a relatively small impact on MAC protocols. Finally, we propose six solutions to deal with radio irregularity. We evaluate two of them in detail. The results obtained from both the simulation and a running testbed demonstrate that our solutions greatly improve communication performance in the presence of radio irregularity.	SVM HeaderParse 0.2
YEAR	2004	INFERENCE
VENUE	in MobiSYS ’04: Proceedings of the 2nd international conference on Mobile systems, applications, and services	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	125--138	INFERENCE
CITATIONS	26 found	ParsCit 1.0