Analysis of reliability and energy consumption in industrial wireless sensor networks
Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Wireless sensor networks have attracted the interest of the process industry. A process plant typically contains thousands of devices, monitoring or controlling the process. Today, all these devices are usually connected with wires. Using wireless technology simplifies deployment of new devices in a network and eliminates the need for extensive wiring. But wireless communication is also more sensitive than its wired counterpart. Therefore work is needed to make wireless sensor networks a viable option in many applications. Important issues are, for example, robustness, energy efficiency, and latency. One of the leading communication protocols for industrial wireless sensor networks is the WirelessHART protocol. This thesis investigates three ways of improving performance of the protocol, in terms of reliability and energy requirements. First, the structure of a WirelessHART packet is studied and the removal of certain fields is suggested to make the communication overhead smaller. Second, forward error correcting codes are evaluated using simulations in MATLAB. Third, measurement experiments in actual industrial environments are conducted where radio signals are transmitted and received. The variability of the received signal strength is measured and the effect that polarization diversity has on the signal variability is analyzed. The findings indicate that substantial improvements can be attained by employing polarization diversity, which can reduce channel variability and increase the expected signal strength significantly. The improvements in channel gain can be on the order of several tens of dB. The evaluations of forward error correcting codes show that the reliability is improved, with a channel gain of 3 dB. The study of the WirelessHART packet structure indicate that the packet sizes can be reduced by 15%. In turn, this also reduces energy requirements and packet error rates by 15%. This is equivalent to a gain in SNR on the order of a tenth of a dB.
Place, publisher, year, edition, pages
2012. , 46 p.
UPTEC F, ISSN 1401-5757 ; 12003
wireless sensor networks, WirelessHART, channel measurements, channel coding
IdentifiersURN: urn:nbn:se:uu:diva-177084OAI: oai:DiVA.org:uu-177084DiVA: diva2:539336
Master Programme in Engineering Physics
Gidlund, Mikael, Doktor
Ahlén, Anders, ProfessorNyberg, Tomas, Doktor