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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.
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Tian He , Sudha Krishnamurthy , John A. Stankovic , Tarek Abdelzaher , Liqian Luo , Radu Stoleru , Ting Yan , Lin Gu , Jonathan Hui , Bruce Krogh, Energy-efficient surveillance system using wireless sensor networks, Proceedings of the 2nd international conference on Mobile systems, applications, and services, June 06-09, 2004, Boston, MA, USA
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INDEX TERMS
Primary Classification:
C.
Computer Systems Organization
C.2
COMPUTER-COMMUNICATION NETWORKS
C.2.1
Network Architecture and Design
Additional Classification:
I.
Computing Methodologies
I.6
SIMULATION AND MODELING
General Terms:
Algorithms,
Design,
Experimentation,
Measurement,
Performance
Keywords:
link asymmetry,
packet loss,
path loss,
radio irregularity,
sending power,
sensor networks,
wireless communication
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