Verteilte, Eingebettete Systeme beeinflussen unser tägliches Leben in unzähligen Bereichen. Getrieben durch technologische Weiterentwicklungen und neue Nutzungsprofile nimmt der Vernetzungsgrad elektronischer Geräte rapide zu. Neben einem ausgeprägten Netzwerkcharakter sind aktuelle und zukünftige Anwendungsszenarien wesentlich durch einen hohen Mobilitätsgrad geprägt. Daraus ergeben sich zunehmend Problemstellungen bzgl. geeigneter Kommunikationskonzepte und der hierfür benötigten Energieressourcen. Dieses Buch befasst sich mit Technologien, Konzepten und Protokollen zur energieeffizienten Kommunikation in verteilten, ressourcenbeschränkten Systemen. Es definiert grundlegende Begrifflichkeiten und vermittelt einen umfassenden Einblick in die verschiedenen Forschungsschwerpunkte. Relevante, technologische Entwicklungen der beiden letzten Dekaden werden vorgestellt, thematisch eingeordnet und kritisch analysiert. Anschließend erfolgt die funktional getrennte Betrachtung von Kommunikationsprozessen auf Netzwerk-, Daten- sowie Energiemanagementebene. Darauf aufbauend widmet sich das Buch der Systemintegration und damit einhergehend dem komplexen Systemkonfigurationsprozess. Unter Berücksichtigung applikationsspezifischer Rahmenbedingungen sowie funktionaler Anforderungen werden gezielt geeignete Optimierungsstrategien ausgewählt und in einer ganzheitlich angepassten Systemarchitektur kombiniert. Erst durch das präzise Zusammenspiel von Kommunikationsparadigma, Kommunikationstechnologien und Kommunikationsprotokollen entsteht ein optimiertes Gesamtsystem, welches die zur Verfügung stehenden Ressourcen effizient nutzt. Zur Bewertung kommt ein neu entwickeltes, erweitertes Quantifizierungsmodell zum Einsatz, welches die kommunikativen Aspekte verteilter Applikationsszenarien vollständig einbezieht. Im Rahmen umfangreicher Fallstudien werden ausgewählte Optimierungsverfahren simulativ sowie auf Basis unterschiedlicher Hardwareplattformen evaluiert. Aus den Ergebnissen resultieren qualitative und quantitative Rückschlüsse auf das mögliche Optimierungspotential unter realen Einsatzbedingungen. Die gewonnenen Erkenntnisse dienen als wichtige Richtgrößen für zukünftige Entwicklungen im Bereich eingebetteter, ressourcenbeschränkter Kommunikationssysteme. / Embedded systems are used in almost every domain of our daily lives. Actual research and development activities focus on wireless connected and mobile system architectures. The resulting network topologies represent embedded, distributed systems, which are able to process complex tasks in a collaborative way. Most of the respective hardware platforms are energy self-sufficient with strongly limited resources for data processing, data storage and communication. With focus on the energy resources, communication tasks have a huge impact on the systems power consumption. In order to optimise the energy efficiency of these communication tasks, one key challenge for engineers is the application-specific integration of adapted communication concepts, radio technologies, and protocol stacks into an all-embracing communication architecture. This book critically discusses energy efficiency in distributed, embedded systems with focus on the communication aspects. The first part introduces basic definitions as well as a novel estimation model for quantifying energy efficiency on both local (system) and global (network) layer. In the second part, this book proposes several optimisation approaches for energy-efficient, resource-limited communication systems. This include hardware approaches as well as software approaches to optimise the runtime environment and the data processing tasks. Each approach operates on different abstraction layers within the system architecture. The last part of the book deals with the evaluation of specific optimisation strategies under real-world conditions. The test cases includes simulation scenarios as well as hardware test benches within a heterogeneous network environment. The respective results and analyses represent important guidelines for future developments in field of distributed, embedded communication platforms.

Der vorliegende Band der wissenschaftlichen Schriftenreihe Eingebettete Selbstorganisierende Systeme widmet sich dem Entwurf von verteilten Eingebetteten Systemen. Einsatzgebiete solcher Systeme sind unter anderem Missions- und Steuerungssysteme von Flugzeugen (Aerospace-Anwendungen) und , mit zunehmender Vernetzung, der Automotive Bereich. Hier gilt es höchste Sicherheitsstandards einzuhalten und maximale Verfügbarkeit zu garantieren. In dieser Arbeit wird diese Problematik frühzeitig im Entwurfsprozess, in der Spezifikationsphase, aufgegriffen. Es werden Implementierungsvarianten wie Hardware und Software sowie Systemkomponenten wie Berechungskomponenten und Kommunikationskomponenten unterschieden. Für die übergreifende Spezifikation wird auf Grundlage des π-Kalküls ein formales Framework, das eine einheitliche Modellierung von Teilsystemen in den unterschiedlichen Entwurfsphasen unterstützt, entwickelt. Besonderer Schwerpunkt der Untersuchungen von Herrn Förster liegt auf Erweiterungen von Systemspezifikationen. So wird es möglich, Teilkomponenten zu verändern oder zu substituieren und die Gesamtspezifikation auf Korrektheit und Konsistenz automatisiert zu überprüfen. / This volume of the scientific series Eingebettete, selbstorganisierende Systeme (Embedded Self-Organized Systems) gives an outline of the design of distributed embedded systems. Fields of application for such systems are, amongst others, mission systems and control systems of airplanes (aeronautic applications) and - with increasing level of integration - also the automotive area. In this area it is essential to meet highest safety standards and to ensure the maximum of availability. Mr Förster addresses these problems in an early state of the design process, namely the specification. Implementation versions like hardware and software are differentiated as well as system components like computation components and communication components. For a general specification Mr Förster develops a formal framework based on the pi-calculus, which supports a standardised modelling of modules in different design steps. The main focus of Mr Förster's research is the extension of system specifications. Therefore it will be possible to modify or substitute modules and to check automatically the correctness and consistency of the total specification. Mr Förster can prove the correctness of his approach and demonstrates impressively the complexity by clearly defined extension relations and formally verifiable embedding in the pi-calculus formalism. A detailed example shows the practical relevance of this research. I am glad that Mr Förster publishes his important research in this scientific series. So I hope you will enjoy reading it and benefit from it.

Die Informatik ist von besonderer Bedeutung für die Gestaltung unser alltäglichen Lebensumstände und ist eine Schlüsseltechnologie des 21. Jahrhunderts. Die Fakultät für Informatik vertritt dieses Fachgebiet umfassend und kompetent mit anwendungsorientierten Schwerpunktsetzungen. In unseren Forschungsschwerpunkten - Eingebettete selbstorganisierende Systeme - Intelligente multimediale Systeme - Parallele verteilte Systeme bieten wir international wettbewerbsfähige Forschung und Entwicklung zu aktuellen Problemstellungen. Unsere Lehre basiert auf dem Leitmotiv der beständigen Erneuerung aus der Forschung. Hieraus abgeleitet bieten wir zeitgemäße Bachelor- und Masterstudiengänge mit hervorragenden Studienbedingungen. Die Fakultät hat den Anspruch eines möglichst persönlichen Umgangs zwischen Lehrkörper und Studenten. Mit der Schriftenreihe „Chemnitzer Informatik Berichte“ geben wir Einblicke in die Forschungspraxis der Fakultät. Dabei werden unterschiedliche Forschungsthemen aus den drei Forschungsschwerpunkten und allen Professuren der Fakultät vorgestellt. / Computer science, as a key technology of the 21th century, has an exceptional impact on our everyday life and living standards. The Faculty of Computer Science represents this scientific field in a comprehensive and proficient manner with an application-orientated choice of topics. In the fields of - Embedded and self-organizing systems - Intelligent multimedia systems - Parallel and distributed systems we offer research and development for current problems and challenges on an internationally competitive level. The guiding principle of our education is the continuous innovation through advances in research. Consequently, we are able to provide modern Bachelor and Master programs with excellent academic conditions. The faculty strives to provide a maximally personal interaction between students and staff. With the series of publications „Chemnitz Computer Science Reports“ we give insigths into the reasearch practice of the faculty. We present different subjects of research from the tree research fields and all of the professorships of the Faculty of Computer Science.

Die Informatik ist von besonderer Bedeutung für die Gestaltung unser alltäglichen Lebensumstände und ist eine Schlüsseltechnologie des 21. Jahrhunderts. Die Fakultät für Informatik vertritt dieses Fachgebiet umfassend und kompetent mit anwendungsorientierten Schwerpunktsetzungen. In unseren Forschungsschwerpunkten - Eingebettete selbstorganisierende Systeme - Intelligente multimediale Systeme - Parallele verteilte Systeme bieten wir international wettbewerbsfähige Forschung und Entwicklung zu aktuellen Problemstellungen. Unsere Lehre basiert auf dem Leitmotiv der beständigen Erneuerung aus der Forschung. Hieraus abgeleitet bieten wir zeitgemäße Bachelor- und Masterstudiengänge mit hervorragenden Studienbedingungen. Die Fakultät hat den Anspruch eines möglichst persönlichen Umgangs zwischen Lehrkörper und Studenten. Mit der Schriftenreihe „Chemnitzer Informatik Berichte“ geben wir Einblicke in die Forschungspraxis der Fakultät. Dabei werden unterschiedliche Forschungsthemen aus den drei Forschungsschwerpunkten und allen Professuren der Fakultät vorgestellt. / Computer science, as a key technology of the 21th century, has an exceptional impact on our everyday life and living standards. The Faculty of Computer Science represents this scientific field in a comprehensive and proficient manner with an application-orientated choice of topics. In the fields of - Embedded and self-organizing systems - Intelligent multimedia systems - Parallel and distributed systems we offer research and development for current problems and challenges on an internationally competitive level. The guiding principle of our education is the continuous innovation through advances in research. Consequently, we are able to provide modern Bachelor and Master programs with excellent academic conditions. The faculty strives to provide a maximally personal interaction between students and staff. With the series of publications „Chemnitz Computer Science Reports“ we give insigths into the reasearch practice of the faculty. We present different subjects of research from the tree research fields and all of the professorships of the Faculty of Computer Science.

A 2TnC ferroelectric memory gain cell consisting of two transistors and two or more ferroelectric capacitors (FeCAP) is proposed. While a pre-charge transistor allows to access the single cell in an array, the read transistor amplifies the small read signals from small-scaled FeCAPs that can be operated either in FeRAM mode by sensing the polarization reversal current, or in ferroelectric tunnel junction (FTJ) mode by sensing the polarization dependent leakage current. The simultaneous read or write operation of multiple FeCAPs is used to realize compute-in-memory (CiM) algorithms that enable processing of data being represented by both, non-volatilely internally stored data and externally applied data. The internal gain of the cell mitigates the need for 3D integration of the FeCAPs, thus making the concept very attractive especially for embedded memories. Here we discuss design constraints of the 2TnC cell and present the proof-of-concept for realizing versatile (CiM) approaches by means of electrical characterization results.

From the initial computing machines, Colossus of 1943 and ENIAC of 1945, to modern high-performance data centers and Internet of Things (IOTs), four design goals, i.e., high-performance, energy-efficiency, resource utilization, and ease of programmability, have remained a beacon of development for the computing industry. During this period, the computing industry has exploited the advantages of technology scaling and microarchitectural enhancements to achieve these goals. However, with the end of Dennard scaling, these techniques have diminishing energy and performance advantages. Therefore, it is necessary to explore alternative techniques for satisfying the computational and energy requirements of modern applications. Towards this end, one promising technique is analyzing and surrendering the strict notion of correctness in various layers of the computation stack. Most modern applications across the computing spectrum---from data centers to IoTs---interact and analyze real-world data and take decisions accordingly. These applications are broadly classified as Recognition, Mining, and Synthesis (RMS). Instead of producing a single golden answer, these applications produce several feasible answers. These applications possess an inherent error-resilience to the inexactness of processed data and corresponding operations. Utilizing these applications' inherent error-resilience, the paradigm of Approximate Computing relaxes the strict notion of computation correctness to realize high-performance and energy-efficient systems with acceptable quality outputs. The prior works on circuit-level approximations have mainly focused on Application-specific Integrated Circuits (ASICs). However, ASIC-based solutions suffer from long time-to-market and high-cost developing cycles. These limitations of ASICs can be overcome by utilizing the reconfigurable nature of Field Programmable Gate Arrays (FPGAs). However, due to architectural differences between ASICs and FPGAs, the utilization of ASIC-based approximation techniques for FPGA-based systems does not result in proportional performance and energy gains. Therefore, to exploit the principles of approximate computing for FPGA-based hardware accelerators for error-resilient applications, FPGA-optimized approximation techniques are required. Further, most state-of-the-art approximate arithmetic operators do not have a generic approximation methodology to implement new approximate designs for an application's changing accuracy and performance requirements. These works also lack a methodology where a machine learning model can be used to correlate an approximate operator with its impact on the output quality of an application. This thesis focuses on these research challenges by designing and exploring FPGA-optimized logic-based approximate arithmetic operators. As multiplication operation is one of the computationally complex and most frequently used arithmetic operations in various modern applications, such as Artificial Neural Networks (ANNs), we have, therefore, considered it for most of the proposed approximation techniques in this thesis. The primary focus of the work is to provide a framework for generating FPGA-optimized approximate arithmetic operators and efficient techniques to explore approximate operators for implementing hardware accelerators for error-resilient applications. Towards this end, we first present various designs of resource-optimized, high-performance, and energy-efficient accurate multipliers. Although modern FPGAs host high-performance DSP blocks to perform multiplication and other arithmetic operations, our analysis and results show that the orthogonal approach of having resource-efficient and high-performance multipliers is necessary for implementing high-performance accelerators. Due to the differences in the type of data processed by various applications, the thesis presents individual designs for unsigned, signed, and constant multipliers. Compared to the multiplier IPs provided by the FPGA Synthesis tool, our proposed designs provide significant performance gains. We then explore the designed accurate multipliers and provide a library of approximate unsigned/signed multipliers. The proposed approximations target the reduction in the total utilized resources, critical path delay, and energy consumption of the multipliers. We have explored various statistical error metrics to characterize the approximation-induced accuracy degradation of the approximate multipliers. We have also utilized the designed multipliers in various error-resilient applications to evaluate their impact on applications' output quality and performance. Based on our analysis of the designed approximate multipliers, we identify the need for a framework to design application-specific approximate arithmetic operators. An application-specific approximate arithmetic operator intends to implement only the logic that can satisfy the application's overall output accuracy and performance constraints. Towards this end, we present a generic design methodology for implementing FPGA-based application-specific approximate arithmetic operators from their accurate implementations according to the applications' accuracy and performance requirements. In this regard, we utilize various machine learning models to identify feasible approximate arithmetic configurations for various applications. We also utilize different machine learning models and optimization techniques to efficiently explore the large design space of individual operators and their utilization in various applications. In this thesis, we have used the proposed methodology to design approximate adders and multipliers. This thesis also explores other layers of the computation stack (cross-layer) for possible approximations to satisfy an application's accuracy and performance requirements. Towards this end, we first present a low bit-width and highly accurate quantization scheme for pre-trained Deep Neural Networks (DNNs). The proposed quantization scheme does not require re-training (fine-tuning the parameters) after quantization. We also present a resource-efficient FPGA-based multiplier that utilizes our proposed quantization scheme. Finally, we present a framework to allow the intelligent exploration and highly accurate identification of the feasible design points in the large design space enabled by cross-layer approximations. The proposed framework utilizes a novel Polynomial Regression (PR)-based method to model approximate arithmetic operators. The PR-based representation enables machine learning models to better correlate an approximate operator's coefficients with their impact on an application's output quality.:1. Introduction 1.1 Inherent Error Resilience of Applications 1.2 Approximate Computing Paradigm 1.2.1 Software Layer Approximation 1.2.2 Architecture Layer Approximation 1.2.3 Circuit Layer Approximation 1.3 Problem Statement 1.4 Focus of the Thesis 1.5 Key Contributions and Thesis Overview 2. Preliminaries 2.1 Xilinx FPGA Slice Structure 2.2 Multiplication Algorithms 2.2.1 Baugh-Wooley’s Multiplication Algorithm 2.2.2 Booth’s Multiplication Algorithm 2.2.3 Sign Extension for Booth’s Multiplier 2.3 Statistical Error Metrics 2.4 Design Space Exploration and Optimization Techniques 2.4.1 Genetic Algorithm 2.4.2 Bayesian Optimization 2.5 Artificial Neural Networks 3. Accurate Multipliers 3.1 Introduction 3.2 Related Work 3.3 Unsigned Multiplier Architecture 3.4 Motivation for Signed Multipliers 3.5 Baugh-Wooley’s Multiplier 3.6 Booth’s Algorithm-based Signed Multipliers 3.6.1 Booth-Mult Design 3.6.2 Booth-Opt Design 3.6.3 Booth-Par Design 3.7 Constant Multipliers 3.8 Results and Discussion 3.8.1 Experimental Setup and Tool Flow 3.8.2 Performance comparison of the proposed accurate unsigned multiplier 3.8.3 Performance comparison of the proposed accurate signed multiplier with the state-of-the-art accurate multipliers 3.8.4 Performance comparison of the proposed constant multiplier with the state-of-the-art accurate multipliers 3.9 Conclusion 4. Approximate Multipliers 4.1 Introduction 4.2 Related Work 4.3 Unsigned Approximate Multipliers 4.3.1 Approximate 4 × 4 Multiplier (Approx-1) 4.3.2 Approximate 4 × 4 Multiplier (Approx-2) 4.3.3 Approximate 4 × 4 Multiplier (Approx-3) 4.4 Designing Higher Order Approximate Unsigned Multipliers 4.4.1 Accurate Adders for Implementing 8 × 8 Approximate Multipliers from 4 × 4 Approximate Multipliers 4.4.2 Approximate Adders for Implementing Higher-order Approximate Multipliers 4.5 Approximate Signed Multipliers (Booth-Approx) 4.6 Results and Discussion 4.6.1 Experimental Setup and Tool Flow 4.6.2 Evaluation of the Proposed Approximate Unsigned Multipliers 4.6.3 Evaluation of the Proposed Approximate Signed Multiplier 4.7 Conclusion 5. Designing Application-specific Approximate Operators 5.1 Introduction 5.2 Related Work 5.3 Modeling Approximate Arithmetic Operators 5.3.1 Accurate Multiplier Design 5.3.2 Approximation Methodology 5.3.3 Approximate Adders 5.4 DSE for FPGA-based Approximate Operators Synthesis 5.4.1 DSE using Bayesian Optimization 5.4.2 MOEA-based Optimization 5.4.3 Machine Learning Models for DSE 5.5 Results and Discussion 5.5.1 Experimental Setup and Tool Flow 5.5.2 Accuracy-Performance Analysis of Approximate Adders 5.5.3 Accuracy-Performance Analysis of Approximate Multipliers 5.5.4 AppAxO MBO 5.5.5 ML Modeling 5.5.6 DSE using ML Models 5.5.7 Proposed Approximate Operators 5.6 Conclusion 6. Quantization of Pre-trained Deep Neural Networks 6.1 Introduction 6.2 Related Work 6.2.1 Commonly Used Quantization Techniques 6.3 Proposed Quantization Techniques 6.3.1 L2L: Log_2_Lead Quantization 6.3.2 ALigN: Adaptive Log_2_Lead Quantization 6.3.3 Quantitative Analysis of the Proposed Quantization Schemes 6.3.4 Proposed Quantization Technique-based Multiplier 6.4 Results and Discussion 6.4.1 Experimental Setup and Tool Flow 6.4.2 Image Classification 6.4.3 Semantic Segmentation 6.4.4 Hardware Implementation Results 6.5 Conclusion 7. A Framework for Cross-layer Approximations 7.1 Introduction 7.2 Related Work 7.3 Error-analysis of approximate arithmetic units 7.3.1 Application Independent Error-analysis of Approximate Multipliers 7.3.2 Application Specific Error Analysis 7.4 Accelerator Performance Estimation 7.5 DSE Methodology 7.6 Results and Discussion 7.6.1 Experimental Setup and Tool Flow 7.6.2 Behavioral Analysis 7.6.3 Accelerator Performance Estimation 7.6.4 DSE Performance 7.7 Conclusion 8. Conclusions and Future Work

Ausgehend von einer modularen Plattform zur Erfassung und Verarbeitung von Sensordaten bereichert die vorliegende Dissertationsschrift den Systementwurf eingebetteter Systeme um neue Facetten. Ihr besonderer Fokus liegt dabei auf rekonfigurierbaren Architekturen und Linux-basierten Systemen. Ein wesentlicher Beitrag ist die Darstellung und Diskussion von Konzepten und Architekturen vorgenannter Systeme durch ihre Betrachtung auf einer hohen Abstraktionsebene. Dazu schafft die Arbeit ein umfassendes Verständnis für Kommunikation und Konfiguration in heterogenen rekonfigurierbaren Systemen und überträgt die Erkenntnisse auf das Linux-Betriebssystem. Es erfolgt außerdem eine systematische Darstellung der etablierten Zusammenhänge und Abläufe beim Software-, Paket- und Versionsmanagement im Linux-Umfeld. Zur Verbesserung des Entwurfsflusses werden Konzepte und ein geeignetes Werkzeug zur High-Level Spezifikation von Linux-Systemen dargestellt. Die in der Arbeit gewonnenen wissenschaftlichen Erkenntnisse werden hinsichtlich praktischer Relevanz evaluiert und durch prototypische Implementierungen verifiziert. / Based on a modular platform for recording and processing of sensor data the present thesis enriches the field of system design of embedded systems with new facets. Its particular focus is on reconfigurable architectures and Linux-based systems. A major contribution is the presentation and discussion of concepts and architectures of aforementioned systems by investigating them on a high level of abstraction. To achieve this, the work creates a comprehensive understanding of communication and configuration in heterogeneous reconfigurable systems. This knowledge is transferred on the Linux operating system. In addition, a systematic presentation of the established relationships and processes in software, package and version management in the Linux environment takes place. To improve the design flow of Linux systems, the thesis presents appropriate concepts as well as a tool for high-level specification of embedded Linux systems. The gained scientific findings are evaluated in terms of practical relevance and verified by prototype implementations.

zweimal im Jahr erscheinende Zeitschrift über aktuelle Themen der TU Chemnitz, ergänzt von Sonderheft(en)

zweimal im Jahr erscheinende Zeitschrift über aktuelle Themen der TU Chemnitz, ergänzt von Sonderheft(en)

Verteilte, Eingebettete Systeme beeinflussen unser tägliches Leben in unzähligen Bereichen. Getrieben durch technologische Weiterentwicklungen und neue Nutzungsprofile nimmt der Vernetzungsgrad elektronischer Geräte rapide zu. Neben einem ausgeprägten Netzwerkcharakter sind aktuelle und zukünftige Anwendungsszenarien wesentlich durch einen hohen Mobilitätsgrad geprägt. Daraus ergeben sich zunehmend Problemstellungen bzgl. geeigneter Kommunikationskonzepte und der hierfür benötigten Energieressourcen. Dieses Buch befasst sich mit Technologien, Konzepten und Protokollen zur energieeffizienten Kommunikation in verteilten, ressourcenbeschränkten Systemen. Es definiert grundlegende Begrifflichkeiten und vermittelt einen umfassenden Einblick in die verschiedenen Forschungsschwerpunkte. Relevante, technologische Entwicklungen der beiden letzten Dekaden werden vorgestellt, thematisch eingeordnet und kritisch analysiert. Anschließend erfolgt die funktional getrennte Betrachtung von Kommunikationsprozessen auf Netzwerk-, Daten- sowie Energiemanagementebene. Darauf aufbauend widmet sich das Buch der Systemintegration und damit einhergehend dem komplexen Systemkonfigurationsprozess. Unter Berücksichtigung applikationsspezifischer Rahmenbedingungen sowie funktionaler Anforderungen werden gezielt geeignete Optimierungsstrategien ausgewählt und in einer ganzheitlich angepassten Systemarchitektur kombiniert. Erst durch das präzise Zusammenspiel von Kommunikationsparadigma, Kommunikationstechnologien und Kommunikationsprotokollen entsteht ein optimiertes Gesamtsystem, welches die zur Verfügung stehenden Ressourcen effizient nutzt. Zur Bewertung kommt ein neu entwickeltes, erweitertes Quantifizierungsmodell zum Einsatz, welches die kommunikativen Aspekte verteilter Applikationsszenarien vollständig einbezieht. Im Rahmen umfangreicher Fallstudien werden ausgewählte Optimierungsverfahren simulativ sowie auf Basis unterschiedlicher Hardwareplattformen evaluiert. Aus den Ergebnissen resultieren qualitative und quantitative Rückschlüsse auf das mögliche Optimierungspotential unter realen Einsatzbedingungen. Die gewonnenen Erkenntnisse dienen als wichtige Richtgrößen für zukünftige Entwicklungen im Bereich eingebetteter, ressourcenbeschränkter Kommunikationssysteme. / Embedded systems are used in almost every domain of our daily lives. Actual research and development activities focus on wireless connected and mobile system architectures. The resulting network topologies represent embedded, distributed systems, which are able to process complex tasks in a collaborative way. Most of the respective hardware platforms are energy self-sufficient with strongly limited resources for data processing, data storage and communication. With focus on the energy resources, communication tasks have a huge impact on the systems power consumption. In order to optimise the energy efficiency of these communication tasks, one key challenge for engineers is the application-specific integration of adapted communication concepts, radio technologies, and protocol stacks into an all-embracing communication architecture. This book critically discusses energy efficiency in distributed, embedded systems with focus on the communication aspects. The first part introduces basic definitions as well as a novel estimation model for quantifying energy efficiency on both local (system) and global (network) layer. In the second part, this book proposes several optimisation approaches for energy-efficient, resource-limited communication systems. This include hardware approaches as well as software approaches to optimise the runtime environment and the data processing tasks. Each approach operates on different abstraction layers within the system architecture. The last part of the book deals with the evaluation of specific optimisation strategies under real-world conditions. The test cases includes simulation scenarios as well as hardware test benches within a heterogeneous network environment. The respective results and analyses represent important guidelines for future developments in field of distributed, embedded communication platforms.