Energy packet network with negligible service time: a modelling and performance analysis approach to wireless sensor networks
Author(s)
Kadioglu, Yasin Murat
Type
Thesis
Abstract
Autonomous self-organising systems have gained much attention to manage complex
tasks without any human interaction. Similarly, simpler systems are also required for
the applications of Internet of Things, such as smart home services, wearables, smart
cities and connected health systems. These simpler systems provide autonomous standalone
devices for remote sensing, processing and transmission of information. However,
such devices may not have a reliable connections to power mains or may not be convenient
for regular battery replacements. Therefore, local energy capturing from ambient
intermittent sources such as vibration, electromagnetic waves, heat or light through harvesting
could be of great interest for such devices.
This thesis researches mathematical modelling and performance analysis of such autonomous
digital devices operating with energy harvesting from intermittent sources.
The approach used in this research is based on the Energy Packet Network paradigm
where the arrivals of data and energy at devices are considered as discrete random processes.
The devices operate by consuming harvested energy in a discrete manner in order
to process, store and transmit data (wired or wireless) in a negligible time interval, such
that the operation or the workload of the devices is also modelled as a discrete random
process.
Probability models based on random walks and Markov chains are investigated in this
study to predict effective rates at which such devices operate well for different energy
consumption scenarios, and to obtain closed-form formulas for stationary probability distributions
and to make further analysis on the other quantities of interest. Consequently,
a “product form solution” of a cascade network of N nodes where state transitions involve
simultaneous state changes in multiple nodes, due to data packets that flow through several
nodes consuming energy packets is proposed. A modelling approach to evaluate the
effect of several battery attacks on such devices is studied. Finally, optimum placement
of wireless nodes into a region where there is a spatial continuous distribution of energy
and data traffic is presented for different transmission schemes, and optimisation
objectives.
tasks without any human interaction. Similarly, simpler systems are also required for
the applications of Internet of Things, such as smart home services, wearables, smart
cities and connected health systems. These simpler systems provide autonomous standalone
devices for remote sensing, processing and transmission of information. However,
such devices may not have a reliable connections to power mains or may not be convenient
for regular battery replacements. Therefore, local energy capturing from ambient
intermittent sources such as vibration, electromagnetic waves, heat or light through harvesting
could be of great interest for such devices.
This thesis researches mathematical modelling and performance analysis of such autonomous
digital devices operating with energy harvesting from intermittent sources.
The approach used in this research is based on the Energy Packet Network paradigm
where the arrivals of data and energy at devices are considered as discrete random processes.
The devices operate by consuming harvested energy in a discrete manner in order
to process, store and transmit data (wired or wireless) in a negligible time interval, such
that the operation or the workload of the devices is also modelled as a discrete random
process.
Probability models based on random walks and Markov chains are investigated in this
study to predict effective rates at which such devices operate well for different energy
consumption scenarios, and to obtain closed-form formulas for stationary probability distributions
and to make further analysis on the other quantities of interest. Consequently,
a “product form solution” of a cascade network of N nodes where state transitions involve
simultaneous state changes in multiple nodes, due to data packets that flow through several
nodes consuming energy packets is proposed. A modelling approach to evaluate the
effect of several battery attacks on such devices is studied. Finally, optimum placement
of wireless nodes into a region where there is a spatial continuous distribution of energy
and data traffic is presented for different transmission schemes, and optimisation
objectives.
Version
Open Access
Date Issued
2018-04
Date Awarded
2018-07
Copyright Statement
Attribution NoDerivatives 4.0 International Licence (CC BY-ND)
Advisor
Gelenbe, Erol
Publisher Department
Electrical and Electronic Engineering
Publisher Institution
Imperial College London
Qualification Level
Doctoral
Qualification Name
Doctor of Philosophy (PhD)