Theoretical Aspects of Distributed Computing in Sensor Networks

• Theme I – Challenges for Wireless Sensor Networks [1] Composition and Scaling Challenges in Sensor Networks: An Interaction-centric View Theme II – Models, Topology, Connectivity [2] Scheduling and Power Assignments in the Physical Model [3] Maintaining Connectivity in Sensor Networks Using Directional Antennae [4] Optimal Placement of Ad Hoc Devices Under a VCG-Style Routing Protocol [5] Population Protocols and Related Models [6] Theoretical Aspects of Graph Models for MANETs [7] Networked Distributed Source Coding Theme III – Localization, Time Synchronization, Coordination [8] The Spatial Smoothing Method of Clock Synchronization in Wireless Networks [9] Algorithmic Aspects of Sensor Localization [10] Spatiotemporal Context in Wireless Sensor Networks [11] Coordination Problems in Ad Hoc Radio Networks Theme IV – Data Propagation and Collection [12] Probabilistic Data Propagation in Wireless Sensor Networks [13] Oblivious Routing for Sensor Network Topologies [14] Scheduling Algorithms for Tree-Based Data Collection in Wireless Sensor Networks [15] Position-Based Routing in Wireless Ad Hoc and Sensor Networks Theme V – Energy Optimization[16] Energy Balanced Data Propagation in Wireless Sensor Networks [17] Dense, Concentric and Nonuniform Multihop Sensor Networks [18] Prolong the Lifetime of Wireless Sensor Networks Through Mobility – A General Optimization Framework Theme VI – Mobility Management [19] Information Spreading in Dynamic Networks – An Analytical Approach [20] Self-stabilizing and Self-organizing Virtual Infrastructures for Mobile Networks [21] Computing by Mobile Robotic Sensors Theme VII – Security Aspects [22] Security and Trust in Sensor Networks [23] Key Management in Sensor Networks [24] Key Predistribution in Wireless Sensor Networks When Sensors Are Within Communication Range Theme VIII – Tools, Applications and Use Cases [25] Realistic Applications for Wireless SensorNetworks [26] High-Level Application Development for Sensor Networks – Data-Driven Approach [27] Towards Integrated Real-World Sensing Environment – Applications and Challenges

From the reviews:“Sensor networks are more complex than ordinary networks because they are numerous, energy constrained, and mostly wireless. Therefore, studies on sensor networks span various disciplines. This book covers a lot of ground in sensor network research. … It consists of 27 self-contained papers, each of which is dedicated to a special topic in sensor networks. Readers with various interests can grab what they want from this book. … Overall, the book is well edited.” (R. S. Chang, ACM Computing Reviews, July, 2011)