Sensor Networks

The idea of this book comes from the observation that sensor networks represent a topic of interest from both theoretical and practical perspectives. The title und- lines that sensor networks offer the unique opportunity of clearly linking theory with practice. In fact, owing to their typical low-cost, academic researchers have the opportunity of implementing sensor network testbeds to check the validity of their theories, algorithms, protocols, etc., in reality. Likewise, a practitioner has the opportunity of understanding what are the principles behind the sensor networks under use and, thus, how to properly tune some accessible network parameters to improve the performance. On the basis of the observations above, the book has been structured in three parts:PartIisdenotedasTheory,sincethetopicsofits vechaptersareapparently detached from real scenarios; Part II is denoted as Theory and Practice, since the topics of its three chapters, altough theoretical, have a clear connection with speci c practical scenarios; Part III is denoted as Practice, since the topics of its ve chapters are clearly related to practical applications.

Clear overview of on-going research activity Introduces a new unifying perspective in the field of sensor networking Motivates to explore an array of different areas Includes supplementary material: sn.pub/extras

Klappentext

This book collects very recent results in the realm of sensor networking. In particular, it links the theory of sensor networking with practical and implementation aspects. Such, it highlights how sensor networking represents a very interesting research/application area, allowing a researcher to apply his theories and a practitioner to "see" the theories behind his/her used technologies.

Inhalt
Theory.- Competition and Collaboration in Wireless Sensor Networks.- Distributed and Recursive Parameter Estimation.- Self-Organization of Sensor Networks with Heterogeneous Connectivity.- Cooperative Strategies in Dense Sensor Networks.- Multipath Diversity and Robustness for Sensor Networks.- Theory and Practice.- Data Aggregation in Wireless Sensor Networks: A Multifaceted Perspective.- Robust Data Dissemination for Wireless Sensor Networks in Hostile Environments.- Markov Decision Process-Based Resource and Information Management for Sensor Networks.- Practice.- Deployment Techniques for Sensor Networks.- Static and Dynamic Localization Techniques for Wireless Sensor Networks.- Enhancing Underwater Acoustic Sensor Networks Using Surface Radios: Issues, Challenges and Solutions.- Communication Through Soil in Wireless Underground Sensor Networks Theory and Practice.- Body Sensor Networks for Sport, Wellbeing and Health.