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Underwater Acoustic Sensor Networks (UASNs) have attracted increasing interest in recent years due to their extensive commercial and military applications. However, the harsh underwater channel causes many challenges for the design of reliable underwater data transport protocol. In this paper, we propose an energy efficient data transport protocol based on network coding and hybrid automatic repeat request (NCHARQ) to ensure reliability, efficiency and availability in UASNs. Moreover, an adaptive window length estimation algorithm is designed to optimize the throughput and energy consumption tradeoff. The algorithm can adaptively change the code rate and can be insensitive to the environment change. Extensive simulations and analysis show that NCHARQ significantly reduces energy consumption with short end-to-end delay.

Wireless Ad Hoc Networks comprise a fast developing research area with a vast spectrum of applications. Wireless sensor network systems enable the reliable monitoring of a variety of environments for both civil and military applications. The Energy efficiency continues to be a key factor in limiting the deployability of ad-hoc networks. Deploying an energy efficient system exploiting the maximum lifetime of the network has remained a great challenge since years. The time period from the instant at which the network starts functioning to the time instant at which the first network node runs out of energy, i.e. the network lifetime is largely dependent on the system energy efficiency. In this paper, we look at energy efficient protocols, which can have significant impact on the lifetime of these networks. The cluster heads get drain out maximum energy in the wireless ad hoc networks. We propose an algorithm that deals with minimizing the rate of dissipation of energy of cluster heads. The algorithm LEAD deals with energy efficient round scheduling of cluster head allocation of nodes and then followed by allocation of nodes to the cluster heads maximizing network lifetime using ANDA [1, 2]. We compare our results with the previous works.

It has become increasingly clear that economies can fruitfully be viewed as networks, consisting of millions of nodes (households, firms, banks, etc.) connected by business, social, and legal relationships. These relationships shape many outcomes that economists often measure. Over the past few years, research on production networks has flourished, as economists try to understand supply-side dynamics, default cascades, aggregate fluctuations, and many other phenomena. Economic Networks provides a brisk introduction to network analysis that is self-contained, rigorous, and illustrated with many figures, diagrams and listings with computer code. Network methods are put to work analyzing production networks, financial networks, and other related topics (including optimal transport, another highly active research field). Visualizations using recent data bring key ideas to life.

Machine generated contents note: About the author Preface Acknowledgements Chapter 1 Introduction Structure of the book Chapter 2 Theoretical Context Management context Project transitions Project management as practice Systems theory and networks Transient relationships Dyadic contractual relationships and structure Permanent and temporary organising Structure and networks Information classification Nodes and linkages Summary Chapter 3 Networks and Projects Network definition Origins and history Problems with projects Actor role classification and ritualistic behaviour Routines Are networks a response to uncertainty in projects? Temporary project systems and their replication# Beyond the iron triangle Why networks? Individuals and firms Problems associated with the use of SNA in project research Summary Chapter 4 Why Networks? Definition Why choose social network analysis? Problems associated with the use of SNA inn project research Concepts and terminology Defining the population What is a network? Actor characteristics Some final thoughts Conclusion Chapter 5 Self-organising networks in projects What do project clients want? Dangerous assumptions Implications if these assumptions are incorrect Networks and uncertainty Does it matter how we conceptualise the project? Procurement through markets and hierarchies; project design and delivery through networks Summary and conclusions Chapter 6 Game Theory and Networks Some history to start Game theory applied to construction projects What is a game? Key assumptions Benefits of applying game theory to project networks Other considerations Choices about actions and co-players: The Prisoner's Dilemma Nash equilibrium Anti-coordination behaviour: Hawk-Dove and Chicken Game theory and information exchange network formation Game theory and five dangerous assumptions Summary and conclusions Chapter 7 Network roles and personality types Network roles: prominent disseminators, gatekeeper hoarders, isolates, dyads and triads, boundary spanners and bridges Personality traits Humour and behaviour in networks Profiling and ideal project network actor Specific personality traits Network roles and personality traits Summarising on actor traits and project networks Chapter 8 Network enabling What do we mean by network enabling? Trust Empathy Reciprocity, favours and psychological contracts Implications for violations of psychological contracts in networks Generosity Characteristics of individual that are destructive for networks Narcissism Egotism Summary Chapter 9 Project Networks and BIM BIM origins BIM and information management Information management and organisation structure The BIM model as an artefact Self-organising networks in the context of design BIM and networks, a research agenda Chapter 10 Introduction to the Case Studies Technical overview Researcxh funding Summary Chapter 11: Case Study No.1- Communities in Self-Organising Projects Networks Data collection Data analysis Findings Communities in self-organising project networks Summary Chapter 12: Case Study No.2 -- Dysfunctional Prominence in Self-Organising Project Networks Data collection Data analysis Actor prominence measures Summary Chapter 13: Case Study No.3 -- Costing Networks Conceptual framework Network costs Data analysis Summary Chapter 14: Summary and Conclusions Brief summary of each chapter Theoretical Issues What might industry learn from the content of this book? Appendix References Index

This book focuses on recent technical advancements and state-of-the art technologies for analyzing characteristic features and probabilistic modelling of complex social networks and decentralized online network architectures. Such research results in applications related to surveillance and privacy, fraud analysis, cyber forensics, propaganda campaigns, as well as for online social networks such as Facebook. The text illustrates the benefits of using advanced social network analysis methods through application case studies based on practical test results from synthetic and real-world data. This book will appeal to researchers and students working in these areas.

This chapter introduces Discourse Network Analysis (DNA). DNA argues that actors are communicative agents that discursively seek to promote their policy preferences in a contested domestic political arena, by building coalitions of like-minded. Thus, DNA bridges the gap between Foreign Policy Analysis (FPA) and public policy by integrating domestic politics into the analysis of foreign policy decision-making. DNA rests on two methodological approaches. First, it uses qualitative content analysis for gathering and coding the statements of actors. Second, it utilizes social network analysis to link statements and actors in networks, and thus makes discursive strategies and processes of coalition-building visible. To illustrate the applicability of DNA to FPA, this chapter discusses the debates in the British House of Commons on the Iraq War of 2003.

This paper applies practice theory to assess the evolution of American foreign policy. It does so by examining the daily schedules of President Truman. Data has been collected from the Truman Presidential Library's daily appointments calendar. The author has reviewed the daily presidential appointments of President Truman from April 12th, 1945, the day in which President Truman assumed the role of President, to January 20th, 1953, President Truman's final day in office. The assumption derived from practice theory is that the President will be more willing to talk to dignitaries from states they have strong relationships with, and thus the quantity of interactions will be indicative of an administration's relationships with other states. This paper uses social network analysis to assess whether the theoretical assumptions of practice theory can effectively capture the expansion of American diplomatic relations in the post-war period described by G John Ikenberry in Liberal Leviathan and Liberal Order and Imperial Ambition. Discipline: Political Science Honours Faculty Mentor: Dr. Jean-Christophe Boucher

This work is partially supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (Project TEC2016-76795-C6-4-R), the Spanish Ministry of Education, Culture and Sport (FPU Grant 16/03354), and the University of Granada, Andalusian Regional Government and European Social Fund under Youth Employment Program.        ; —Network slicing is considered a key mechanism to serve the multitude of tenants (e.g. vertical industries) targeted by forthcoming 5G systems in a flexible and cost-efficient manner. In this paper, we present a SDN/NFV architecture with multitenancy support. This architecture enables a network slice provider to deploy network slice instances for multiple tenants on-the-fly, and simultaneously provision them with isolation guarantees. Following the Network Slice as-a-Service delivery model, a tenant may access a Service Catalog, selecting the slice that best fits its needs and ordering its deployment. This work provides a detailed view on the stages that a network slice provider must follow to deploy the ordered network slice instance, accommodating it into a multi-domain infrastructure, and putting it operative for tenant's consumption. These stages address critical issues identified in the literature, including (i) the mapping from high-level service requirements to network functions and infrastructure requirements, (ii) the admission control, and (iii) the specific information a network slice descriptor should have. With the proposed architecture and the recommended set of stages, network slice providers can deploy (and later operate) slice instances with great agility, flexibility, and full automation. ; This work is partially supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (Project TEC2016-76795-C6-4-R) ; Spanish Ministry of Education, Culture and Sport (FPU Grant 16/03354) ; University of Granada, Andalusian regional Government and European ...

Political science is fascinated with networks. This fascination builds on networks' descriptive appeal, and descriptions of networks play a prominent role in recent forays into network analysis. For some time, quantitative research has included node-level measures of network characteristics in standard regression models, thereby incorporating network concepts into familiar models. This approach represents an early advance for the literature but may (a) ignore fundamental theoretical contributions that can be found in a more structurally oriented network perspective, (b) focus attention on superficial aspects of networks as they feed into empirical work, and (c) present the network perspective as a slight tweak to standard models that assume complete independence of all relevant actors. We argue that network analysis is more than a tweak to the status quo ante; rather, it offers a means of addressing one of the holy grails of the social sciences: effectively analyzing the interdependence and flows of influence among individuals, groups, and institutions. Adapted from the source document.