A measurement study of predicting throughput from LQI and RSSI
2012 (English)Report (Other academic)
Wireless sensor networks (WSN) commonly use ZigBee tocommunicate, especially when low power consumption is demanded. Zig-Bee may however provide unpredictable throughput although transmis-sion distances are short. This is especially evident in difficult environ-ments with complicated reflections and various materials through whichradio signals need to pass through. Distributed scheduling based on cog-nitive networking principles may improve both network predictabilityand overall throughput. This paper presents measurements of key pa-rameters for such cognitive scheduling, and discusses their potential forpredicting suitable per-node transmission rates. Results include variabil-ity of throughput, RSSI and LQI observed for different transmission pow-ers, transmission ranges, and number of transmitting nodes.
Place, publisher, year, edition, pages
2012. , 12 p.
Research subject Dependable Communication and Computation Systems
IdentifiersURN: urn:nbn:se:ltu:diva-23509Local ID: 73f58f0c-1610-4b68-a093-7763dea80c56OAI: oai:DiVA.org:ltu-23509DiVA: diva2:996558
ProjectsCASTT - Centre for Automotive Systems Technologies and Testing
Godkänd; 2012; 20130929 (krzwol)2016-09-292016-09-29Bibliographically approved