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Battery Lifetime Modelling and Validation of Wireless Building Automation Devices in Thread
KTH, School of Electrical Engineering (EES), Communication Networks.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The need for energy eciency in wireless communication is prevalent in all areas,but to an even greater extent in low-power and lossy networks that rely on resourceconstraineddevices. This degree project seeks to address the problem of modellingthe battery lifetime of a duty-cycled node, participating in a wireless sensor networkthat is typically used in smart home and building applications. Modelling inMATLAB combined with experimentation are employed to predict the life expectancyand to validate using a hardware implementation. Various scenarios includingsleepy end devices in a wireless sensor network are modelled and validated; theserange from variable wake-up frequency and packet payload transmission to increasingnetwork contention with the addition of network load. A comprehensiveanalysis of the main factors contributing to wasteful energy usage is provided inthis thesis project, and it can be concluded that the model can estimate the batterylifetime under dierent testing scenarios with an error less than 5 %.

Abstract [sv]

Det finns ett stort behov av energieffektivitet inom trådlös kommunikation, särskiltinom nätverk med bortfall och låg strömförbrukning där resursbegränsade enheternyttjas. Det här examensarbetet eftersträvar att lösa problemet med att modellerabatterilivslängden hos en sensoranordning med en låg driftcykel, som en del av etttrådlöst sensornätverk avsett för att tillämpas i smarta hus och byggnader. Modelleringi MATLAB kombinerat med experimentering används för att förutsäga denförväntade livslängden samt för att validera en hårdvaruimplementering. Flertaletscenarier med sovande noder modelleras och valideras, med allt från variabel uppvakningsfrekvensoch paketöverföring till ökande resurskonflikter med ytterligarebelastning på nätverket. I detta examensprojekt inkluderas en heltäckande analysav huvudorsakerna till energislöseriet hos enheterna och slutsatsen kan drasatt modellen kan beräkna batterilivslängden för olika testscenarier med mindre än5 % fel.

Place, publisher, year, edition, pages
2016. , p. 61
Keywords [en]
Internet of Things (IoT), battery lifetime, wireless sensor networks, energy efficiency, IEEE 802.15.4 MAC, power consumption model, Thread
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-199957OAI: oai:DiVA.org:kth-199957DiVA, id: diva2:1067124
Examiners
Available from: 2018-01-08 Created: 2017-01-20 Last updated: 2018-01-08Bibliographically approved

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Eva Azoidou(4779 kB)57 downloads
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