Theoretical Aspects of Distributed Computing in Sensor Networks - Tapa blanda

Sinopsis

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 Sensor Networks [26] High-Level Application Development for Sensor Networks - Data-Driven Approach [27] Towards Integrated Real-World Sensing Environment - Applications and Challenges

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