CST – Computer Simulation Technology

Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments

Title:
Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments
Author(s):
Peio López Iturri, Juan Antonio Nazábal, Leire Azpilicueta, Pablo Rodriguez, Miguel Beruete, Carlos Fernández-Valdivielso, Francisco Falcone
Source:
Sensors 2012
Vol./Issue/Date:
Volume: 12, Issue: 11, 12 November 2012
Year:
2012
Page(s):
15690 - 15708
Keywords:
electromagnetic interference, microwave oven, ray launching, electromagnetic field simulation, ZigBee, 802.15.4, wireless sensor networks, 2.4 GHz ISM band, smart home
Abstract:
In this work, the impact of radiofrequency radiation leakage from microwave ovens and its effect on 802.15.4 ZigBee-compliant wireless sensor networks operating in the 2.4 GHz Industrial Scientific Medical (ISM) band is analyzed. By means of a novel radioplanning approach, based on electromagnetic field simulation of a microwave oven and determination of equivalent radiation sources applied to an in-house developed 3D ray launching algorithm, estimation of the microwave oven’s power leakage is obtained for the complete volume of an indoor scenario. The magnitude and the variable nature of the interference is analyzed and the impact in the radio link quality in operating wireless sensors is estimated and compared with radio channel measurements as well as packet measurements. The measurement results reveal the importance of selecting an adequate 802.15.4 channel, as well as the Wireless Sensor Network deployment strategy within this type of environment, in order to optimize energy consumption and increase the overall network performance. The proposed method enables one to estimate potential interference effects in devices operating within the 2.4 GHz band in the complete scenario, prior to wireless sensor network deployment, which can aid in achieving the most optimal network topology.
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