Effective Static and Adaptive Carrier Sensing for Dense Wireless CSMA Networks

The increasingly dense deployments of wireless CSMA networks arising from applications of Internet-of-things call for an improvement to mitigate the interference among simultaneous transmitting wireless devices. For cost efficiency and backward compatibility with legacy transceiver hardware, a simpl...

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Bibliographic Details
Published inIEEE transactions on mobile computing Vol. 16; no. 2; pp. 355 - 366
Main Authors Chi-Kin Chau, Ho, Ivan W. H., Zhenhui Situ, Soung Chang Liew, Jialiang Zhang
Format Magazine Article
LanguageEnglish
Published Los Alamitos IEEE 01.02.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Carrier density
carrier sensing
Computer simulation
CSMA
Detection
hidden node problem
IEEE 802.11
IEEE 802.15
Interference
Multiaccess communication
Protocol (computers)
Sensors
Signal to noise ratio
SINR model
Thresholds
Transmitters
WiFi
Wireless communication
Wireless communications
Wireless networks
Wireless sensor networks
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Summary:The increasingly dense deployments of wireless CSMA networks arising from applications of Internet-of-things call for an improvement to mitigate the interference among simultaneous transmitting wireless devices. For cost efficiency and backward compatibility with legacy transceiver hardware, a simple approach to address interference is by appropriately configuring the carrier sensing thresholds in wireless CSMA protocols, particularly in dense wireless networks. Most prior studies of the configuration of carrier sensing thresholds are based on a simplified conflict graph model, whereas this paper considers a realistic signal-to-interference-and-noise ratio model. We provide a comprehensive study for two effective wireless CSMA protocols: Cumulative-interference-Power Carrier Sensing and Incremental-interference-Power Carrier Sensing, in two aspects: (1) static approach that sets a universal carrier sensing threshold to ensure interference-safe transmissions regardless of network topology, and (2) adaptive approach that adjusts the carrier sensing thresholds dynamically based on the feedback of nearby transmissions. We also provide simulation studies to evaluate the starvation ratio, fairness, and goodput of our approaches.
ISSN:1536-1233
1558-0660
DOI:10.1109/TMC.2016.2557780