7,342 research outputs found
Facilitating Flexible Link Layer Protocols for Future Wireless Communication Systems
This dissertation addresses the problem of designing link layer protocols
which are flexible enough to accommodate the demands offuture wireless
communication systems (FWCS).We show that entire link layer protocols with
diverse requirements and responsibilities can be composed out of
reconfigurable and reusable components.We demonstrate this by designing and
implementinga novel concept termed Flexible Link Layer (FLL)
architecture.Through extensive simulations and practical experiments, we
evaluate a prototype of the suggested architecture in both
fixed-spectrumand dynamic spectrum access (DSA) networks.
FWCS are expected to overcome diverse challenges including the continual
growthin traffic volume and number of connected devices.Furthermore, they
are envisioned to support a widerange of new application requirements and
operating conditions.Technology trends, including smart homes,
communicating machines, and vehicularnetworks, will not only grow on a
scale that once was unimaginable, they will also become the predominant
communication paradigm, eventually surpassing today's human-produced
network traffic.
In order for this to become reality, today's systems have to evolve in many
ways.They have to exploit allocated resources in a more efficient and
energy-conscious manner.In addition to that, new methods for spectrum
access and resource sharingneed to be deployed.Having the diversification
of applications and network conditions in mind, flexibility at all layers
of a communication system is of paramount importance in order to meet the
desired goals.
However, traditional communication systems are often designed with specific
and distinct applications in mind. Therefore, system designers can tailor
communication systems according to fixedrequirements and operating
conditions, often resulting in highly optimized but inflexible
systems.Among the core problems of such design is the mix of data transfer
and management aspects.Such a combination of concerns clearly hinders the
reuse and extension of existing protocols.
To overcome this problem, the key idea explored in this dissertation is a
component-based design to facilitate the development of more flexible and
versatile link layer protocols.Specifically, the FLL architecture,
suggested in this dissertation, employs a generic, reconfigurable data
transfer protocol around which one or more complementary protocols, called
link layer applications, are responsible for management-related aspects of
the layer.
To demonstrate the feasibility of the proposed approach, we have designed
andimplemented a prototype of the FLL architecture on the basis ofa
reconfigurable software defined radio (SDR) testbed.Employing the SDR
prototype as well as computer simulations, thisdissertation describes
various experiments used to examine a range of link layerprotocols for both
fixed-spectrum and DSA networks.
This dissertation firstly outlines the challenges faced by FWCSand
describes DSA as a possible technology component for their construction.It
then specifies the requirements for future DSA systemsthat provide the
basis for our further considerations.We then review the background on link
layer protocols, surveyrelated work on the construction of flexible
protocol frameworks,and compare a range of actual link layer protocols and
algorithms.Based on the results of this analysis, we design, implement, and
evaluatethe FLL architecture and a selection of actual link layer
protocols.
We believe the findings of this dissertation add substantively to the
existing literature on link layer protocol design and are valuable for
theoreticians and experimentalists alike
Modeling Supply Networks and Business Cycles as Unstable Transport Phenomena
Physical concepts developed to describe instabilities in traffic flows can be
generalized in a way that allows one to understand the well-known instability
of supply chains (the so-called ``bullwhip effect''). That is, small variations
in the consumption rate can cause large variations in the production rate of
companies generating the requested product. Interestingly, the resulting
oscillations have characteristic frequencies which are considerably lower than
the variations in the consumption rate. This suggests that instabilities of
supply chains may be the reason for the existence of business cycles. At the
same time, we establish some link to queuing theory and between micro- and
macroeconomics.Comment: For related work see http://www.helbing.or
Designing Metabolite Biosensors and Engineering Genetic Circuits to Regulate Metabolic Pathways
Microbial production of chemicals has provided an attractive alternative to chemical synthesis. A key to make this technology economically viable is to improve titers, productivities, and strain robustness. However, pathway productivities and yields are often limited by metabolic imbalances that inhibit cell growth and chemical production. In contrast, natural metabolic pathways are dynamically regulated according to cellular metabolic status. Dynamic regulation allows cells to adjust metabolite concentrations to optimal levels and avoid wasting carbon and energy. Inspired by nature, synthetic regulatory circuits have shown great promise in improving titers and productivities, because they can balance the metabolism by dynamically adjusting enzyme expression levels according to cellular metabolic status.
To engineer synthetic regulatory circuits to improve production, we must design and tune metabolite biosensors, and also understand the metabolic dynamics to identify the optimal regulatory architecture. The research presented here addresses both these key aspects and demonstrates an application of genetic circuits to improve pathway production. Specifically, we develop theories that predict and experimentally validate a coupling between dynamic range and response threshold in transcription factor-based biosensors, and provide design guidelines to orthogonally control the biosensor output and its sensitivity. Next, we develop a malonyl-CoA sensor-actuator and demonstrate its application to engineering a negative feedback circuit to improve fatty acid production. Finally, genetic circuits with various architectures are constructed to study metabolic dynamics, which reveal that negative feedback circuits can dramatically accelerate metabolic dynamics.
The findings of this dissertation provide rational design principles for transcription factor-based metabolite biosensors and a systematic understanding of metabolic dynamics under various regulation architectures. They provide valuable tools and knowledge to engineer metabolic circuits to regulate various metabolic pathways, increasing titers, productivities, and yields
Mobile Crowd Sensing in Edge Computing Environment
abstract: The mobile crowdsensing (MCS) applications leverage the user data to derive useful information by data-driven evaluation of innovative user contexts and gathering of information at a high data rate. Such access to context-rich data can potentially enable computationally intensive crowd-sourcing applications such as tracking a missing person or capturing a highlight video of an event. Using snippets and pictures captured from multiple mobile phone cameras with specific contexts can improve the data acquired in such applications. These MCS applications require efficient processing and analysis to generate results in real time. A human user, mobile device and their interactions cause a change in context on the mobile device affecting the quality contextual data that is gathered. Usage of MCS data in real-time mobile applications is challenging due to the complex inter-relationship between: a) availability of context, context is available with the mobile phones and not with the cloud, b) cost of data transfer to remote cloud servers, both in terms of communication time and energy, and c) availability of local computational resources on the mobile phone, computation may lead to rapid battery drain or increased response time. The resource-constrained mobile devices need to offload some of their computation.
This thesis proposes ContextAiDe an end-end architecture for data-driven distributed applications aware of human mobile interactions using Edge computing. Edge processing supports real-time applications by reducing communication costs. The goal is to optimize the quality and the cost of acquiring the data using a) modeling and prediction of mobile user contexts, b) efficient strategies of scheduling application tasks on heterogeneous devices including multi-core devices such as GPU c) power-aware scheduling of virtual machine (VM) applications in cloud infrastructure e.g. elastic VMs. ContextAiDe middleware is integrated into the mobile application via Android API. The evaluation consists of overheads and costs analysis in the scenario of ``perpetrator tracking" application on the cloud, fog servers, and mobile devices. LifeMap data sets containing actual sensor data traces from mobile devices are used to simulate the application run for large scale evaluation.Dissertation/ThesisDoctoral Dissertation Electrical Engineering 201
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