When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The selection of material is driven by applications arising in engineering, and the treatment is both readable and mathematically rigorous. Though mainly concerned with information-flow-related questions motivated by wireless data networks, the models developed are also of interest in a broader context, ranging from engineering to social networks, biology, and physics.
Solve a murder, save her mother, and stop the apocalypse? No problem. She has a foul-mouthed troll on her side. For Austin homicide detective Leira Berens, happy is running down bad guys and solving crimes. And she’s damn good at it. Which is why when the Light Elf prince is murdered, the king breaks a centuries old treaty and crosses between worlds to seek her help. Wait a min...
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