Algorithms for Sensor Systems - Info and Reading Options

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Intro -- Preface -- Organization -- Contents -- Collaborative Delivery by Energy-Sharing Low-Power Mobile Robots -- 1 Introduction -- 2 Preliminaries -- 3 An Efficient Algorithm for COLLABORATIVEDELIVERY with Chosen Placement -- 3.1 The Energy Flow Hypergraph -- 3.2 Properties of Optimal Solutions -- 3.3 Canonical Nodes -- 3.4 Completing the Proof of Theorem 3 -- 4 Concluding Remarks -- References -- Data Collection in Population Protocols with Non-uniformly Random Scheduler -- 1 Introduction -- 2 Model and Definitions -- 3 Lower Bounds on the Expected Convergence Time -- 4 Protocol ``Transfer to the Faster'' (TTF) -- 5 Lazy TTF -- 5.1 Convergence Time of Lazy TTF -- 6 Numerical Results -- 6.1 The Relation Between Twhp(TTF) and Its Upper Bound -- 6.2 Gaps on Time and Energy Between TTF and Lazy TTF() -- References -- Parameterized Algorithms for Power-Efficient Connected Symmetric Wireless Sensor Networks -- 1 Introduction -- 2 Parameterizing by the Number of Connected Components Induced by Obligatory Edges -- 3 Parameterizing by the Feedback Edge Number -- 4 Parameterized Hardness and Inapproximability -- 5 Conclusion -- Fast Distributed Approximation for Max-Cut -- 1 Introduction -- 1.1 The Challenge -- 1.2 Our Contribution -- 1.3 Background and Related Work -- 2 Preliminaries -- 3 Clustering-Based Algorithms -- 3.1 A Randomized Distributed Graph Decomposition -- 3.2 A Randomized (1-)-Approximation Algorithm for Max-Cut on a Bipartite Graph -- 3.3 A Randomized (1-)-Approximation Algorithm for General Graphs -- 4 Coloring-Based Algorithms -- 5 A Deterministic LOCAL Algorithm -- References -- Barrier Coverage with Uniform Radii in 2D -- 1 Introduction -- 1.1 Background -- 1.2 Our Results -- 2 A Single Barrier -- 2.1 Order-Preserving Covering Assignments -- 2.2 Discrete Sensor Locations -- 2.3 Dynamic Programming Formulation for a Single Barrier

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