External Radio Interference

An important factor contributing to the degradation and variability of the link quality is radio interference. The increasingly crowded radio spectrum has triggered a vast array of research activities on interference mitigation techniques and on enhancing coexistence among electronic devices sharing the same or overlapping frequencies. This chapter gives an overview of the interference problem in low-power wireless sensor networks and provides a comprehensive survey on related literature, which covers experimentation, measurement, modelling, and mitigation of external radio interference. The aim is not to be exhaustive, but rather to accurately group and summarize existing solutions and their limitations, as well as to analyse the yet open challenges.

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[63]  Marco Zuniga,et al.  JamLab: Augmenting sensornet testbeds with realistic and controlled interference generation , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

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[68]  Marco Zuniga,et al.  JAG: Reliable and Predictable Wireless Agreement under External Radio Interference , 2012, 2012 IEEE 33rd Real-Time Systems Symposium.

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[76]  Matthew Keally,et al.  SAS: Self-Adaptive Spectrum Management for Wireless Sensor Networks , 2009, 2009 Proceedings of 18th International Conference on Computer Communications and Networks.

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[99]  Pawel Gburzynski,et al.  Sampling and classifying interference patterns in a wireless sensor network , 2012, ACM Trans. Sens. Networks.

[100]  Lei Tang,et al.  EM-MAC: a dynamic multichannel energy-efficient MAC protocol for wireless sensor networks , 2011, MobiHoc '11.

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[104]  Guoliang Xing,et al.  Multi-Channel Interference Measurement and Modeling in Low-Power Wireless Networks , 2009, 2009 30th IEEE Real-Time Systems Symposium.

[105]  Özlem Durmaz Incel,et al.  Multi-Channel Interference Measurements for Wireless Sensor Networks , 2006, Proceedings. 2006 31st IEEE Conference on Local Computer Networks.

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[113]  Miguel Á. Carreira-Perpiñán,et al.  M&M: multi-level Markov model for wireless link simulations , 2009, SenSys '09.

[114]  Koen Langendoen,et al.  Chamaeleon — Exploiting multiple channels to mitigate interference , 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

[115]  Ravi Prakash,et al.  RF in the Jungle: Effect of Environment Assumptions on Wireless Experiment Repeatability , 2009, 2009 IEEE International Conference on Communications.

[116]  Jens Zander,et al.  Energy-efficient detection of intermittent interference in wireless sensor networks , 2010, Int. J. Sens. Networks.

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[120]  Mikael Gidlund,et al.  Wireless Coexistence between IEEE 802.11- and IEEE 802.15.4-Based Networks: A Survey , 2011, Int. J. Distributed Sens. Networks.

[121]  Michael Vollmer,et al.  Physics of the microwave oven , 2004 .

[122]  Janne Riihijärvi,et al.  Interference Measurements on Performance Degradation between Colocated IEEE 802.11g/n and IEEE 802.15.4 Networks , 2007, Sixth International Conference on Networking (ICN'07).

[123]  Jong-Hoon Youn,et al.  Adaptive radio channel allocation for supporting coexistence of 802.15.4 and 802.11b , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

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[125]  Koen Langendoen,et al.  Chrysso — A multi-channel approach to mitigate external interference , 2011, 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.